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Merge pull request #265 from shimo4228/feat/skills/skill-stocktake
feat(skills): add skill-stocktake skill
This commit is contained in:
175
skills/skill-stocktake/SKILL.md
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175
skills/skill-stocktake/SKILL.md
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@@ -0,0 +1,175 @@
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---
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description: "Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation."
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---
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# skill-stocktake
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Slash command (`/skill-stocktake`) that audits all Claude skills and commands using a quality checklist + AI holistic judgment. Supports two modes: Quick Scan for recently changed skills, and Full Stocktake for a complete review.
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## Scope
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The command targets the following paths **relative to the directory where it is invoked**:
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| Path | Description |
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|------|-------------|
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| `~/.claude/skills/` | Global skills (all projects) |
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| `{cwd}/.claude/skills/` | Project-level skills (if the directory exists) |
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**At the start of Phase 1, the command explicitly lists which paths were found and scanned.**
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### Targeting a specific project
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To include project-level skills, run from that project's root directory:
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```bash
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cd ~/path/to/my-project
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/skill-stocktake
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```
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If the project has no `.claude/skills/` directory, only global skills and commands are evaluated.
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## Modes
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| Mode | Trigger | Duration |
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|------|---------|---------|
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| Quick Scan | `results.json` exists (default) | 5–10 min |
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| Full Stocktake | `results.json` absent, or `/skill-stocktake full` | 20–30 min |
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**Results cache:** `~/.claude/skills/skill-stocktake/results.json`
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## Quick Scan Flow
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Re-evaluate only skills that have changed since the last run (5–10 min).
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1. Read `~/.claude/skills/skill-stocktake/results.json`
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2. Run: `bash ~/.claude/skills/skill-stocktake/scripts/quick-diff.sh \
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~/.claude/skills/skill-stocktake/results.json`
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(Project dir is auto-detected from `$PWD/.claude/skills`; pass it explicitly only if needed)
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3. If output is `[]`: report "No changes since last run." and stop
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4. Re-evaluate only those changed files using the same Phase 2 criteria
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5. Carry forward unchanged skills from previous results
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6. Output only the diff
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7. Run: `bash ~/.claude/skills/skill-stocktake/scripts/save-results.sh \
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~/.claude/skills/skill-stocktake/results.json <<< "$EVAL_RESULTS"`
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## Full Stocktake Flow
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### Phase 1 — Inventory
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Run: `bash ~/.claude/skills/skill-stocktake/scripts/scan.sh`
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The script enumerates skill files, extracts frontmatter, and collects UTC mtimes.
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Project dir is auto-detected from `$PWD/.claude/skills`; pass it explicitly only if needed.
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Present the scan summary and inventory table from the script output:
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```
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Scanning:
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✓ ~/.claude/skills/ (17 files)
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✗ {cwd}/.claude/skills/ (not found — global skills only)
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```
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| Skill | 7d use | 30d use | Description |
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|-------|--------|---------|-------------|
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### Phase 2 — Quality Evaluation
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Launch a Task tool subagent (**Explore agent, model: opus**) with the full inventory and checklist.
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The subagent reads each skill, applies the checklist, and returns per-skill JSON:
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`{ "verdict": "Keep"|"Improve"|"Update"|"Retire"|"Merge into [X]", "reason": "..." }`
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**Chunk guidance:** Process ~20 skills per subagent invocation to keep context manageable. Save intermediate results to `results.json` (`status: "in_progress"`) after each chunk.
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After all skills are evaluated: set `status: "completed"`, proceed to Phase 3.
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**Resume detection:** If `status: "in_progress"` is found on startup, resume from the first unevaluated skill.
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Each skill is evaluated against this checklist:
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```
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- [ ] Content overlap with other skills checked
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- [ ] Overlap with MEMORY.md / CLAUDE.md checked
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- [ ] Freshness of technical references verified (use WebSearch if tool names / CLI flags / APIs are present)
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- [ ] Usage frequency considered
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```
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Verdict criteria:
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| Verdict | Meaning |
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|---------|---------|
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| Keep | Useful and current |
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| Improve | Worth keeping, but specific improvements needed |
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| Update | Referenced technology is outdated (verify with WebSearch) |
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| Retire | Low quality, stale, or cost-asymmetric |
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| Merge into [X] | Substantial overlap with another skill; name the merge target |
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Evaluation is **holistic AI judgment** — not a numeric rubric. Guiding dimensions:
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- **Actionability**: code examples, commands, or steps that let you act immediately
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- **Scope fit**: name, trigger, and content are aligned; not too broad or narrow
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- **Uniqueness**: value not replaceable by MEMORY.md / CLAUDE.md / another skill
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- **Currency**: technical references work in the current environment
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**Reason quality requirements** — the `reason` field must be self-contained and decision-enabling:
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- Do NOT write "unchanged" alone — always restate the core evidence
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- For **Retire**: state (1) what specific defect was found, (2) what covers the same need instead
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- Bad: `"Superseded"`
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- Good: `"disable-model-invocation: true already set; superseded by continuous-learning-v2 which covers all the same patterns plus confidence scoring. No unique content remains."`
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- For **Merge**: name the target and describe what content to integrate
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- Bad: `"Overlaps with X"`
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- Good: `"42-line thin content; Step 4 of chatlog-to-article already covers the same workflow. Integrate the 'article angle' tip as a note in that skill."`
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- For **Improve**: describe the specific change needed (what section, what action, target size if relevant)
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- Bad: `"Too long"`
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- Good: `"276 lines; Section 'Framework Comparison' (L80–140) duplicates ai-era-architecture-principles; delete it to reach ~150 lines."`
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- For **Keep** (mtime-only change in Quick Scan): restate the original verdict rationale, do not write "unchanged"
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- Bad: `"Unchanged"`
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- Good: `"mtime updated but content unchanged. Unique Python reference explicitly imported by rules/python/; no overlap found."`
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### Phase 3 — Summary Table
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| Skill | 7d use | Verdict | Reason |
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|-------|--------|---------|--------|
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### Phase 4 — Consolidation
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1. **Retire / Merge**: present detailed justification per file before confirming with user:
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- What specific problem was found (overlap, staleness, broken references, etc.)
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- What alternative covers the same functionality (for Retire: which existing skill/rule; for Merge: the target file and what content to integrate)
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- Impact of removal (any dependent skills, MEMORY.md references, or workflows affected)
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2. **Improve**: present specific improvement suggestions with rationale:
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- What to change and why (e.g., "trim 430→200 lines because sections X/Y duplicate python-patterns")
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- User decides whether to act
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3. **Update**: present updated content with sources checked
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4. Check MEMORY.md line count; propose compression if >100 lines
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## Results File Schema
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`~/.claude/skills/skill-stocktake/results.json`:
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**`evaluated_at`**: Must be set to the actual UTC time of evaluation completion.
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Obtain via Bash: `date -u +%Y-%m-%dT%H:%M:%SZ`. Never use a date-only approximation like `T00:00:00Z`.
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```json
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{
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"evaluated_at": "2026-02-21T10:00:00Z",
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"mode": "full",
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"batch_progress": {
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"total": 80,
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"evaluated": 80,
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"status": "completed"
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},
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"skills": {
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"skill-name": {
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"path": "~/.claude/skills/skill-name/SKILL.md",
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"verdict": "Keep",
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"reason": "Concrete, actionable, unique value for X workflow",
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"mtime": "2026-01-15T08:30:00Z"
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}
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}
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}
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```
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## Notes
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- Evaluation is blind: the same checklist applies to all skills regardless of origin (ECC, self-authored, auto-extracted)
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- Archive / delete operations always require explicit user confirmation
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- No verdict branching by skill origin
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87
skills/skill-stocktake/scripts/quick-diff.sh
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87
skills/skill-stocktake/scripts/quick-diff.sh
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#!/usr/bin/env bash
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# quick-diff.sh — compare skill file mtimes against results.json evaluated_at
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# Usage: quick-diff.sh RESULTS_JSON [CWD_SKILLS_DIR]
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# Output: JSON array of changed/new files to stdout (empty [] if no changes)
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#
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# When CWD_SKILLS_DIR is omitted, defaults to $PWD/.claude/skills so the
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# script always picks up project-level skills without relying on the caller.
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#
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# Environment:
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# SKILL_STOCKTAKE_GLOBAL_DIR Override ~/.claude/skills (for testing only;
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# do not set in production — intended for bats tests)
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# SKILL_STOCKTAKE_PROJECT_DIR Override project dir detection (for testing only)
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set -euo pipefail
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RESULTS_JSON="${1:-}"
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CWD_SKILLS_DIR="${SKILL_STOCKTAKE_PROJECT_DIR:-${2:-$PWD/.claude/skills}}"
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GLOBAL_DIR="${SKILL_STOCKTAKE_GLOBAL_DIR:-$HOME/.claude/skills}"
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if [[ -z "$RESULTS_JSON" || ! -f "$RESULTS_JSON" ]]; then
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echo "Error: RESULTS_JSON not found: ${RESULTS_JSON:-<empty>}" >&2
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exit 1
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fi
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# Validate CWD_SKILLS_DIR looks like a .claude/skills path (defense-in-depth).
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# Only warn when the path exists — a nonexistent path poses no traversal risk.
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if [[ -n "$CWD_SKILLS_DIR" && -d "$CWD_SKILLS_DIR" && "$CWD_SKILLS_DIR" != */.claude/skills* ]]; then
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echo "Warning: CWD_SKILLS_DIR does not look like a .claude/skills path: $CWD_SKILLS_DIR" >&2
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fi
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evaluated_at=$(jq -r '.evaluated_at' "$RESULTS_JSON")
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# Fail fast on a missing or malformed evaluated_at rather than producing
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# unpredictable results from ISO 8601 string comparison against "null".
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if [[ ! "$evaluated_at" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}Z$ ]]; then
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echo "Error: invalid or missing evaluated_at in $RESULTS_JSON: $evaluated_at" >&2
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exit 1
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fi
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# Pre-extract known paths from results.json once (O(1) lookup per file instead of O(n*m))
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known_paths=$(jq -r '.skills[].path' "$RESULTS_JSON" 2>/dev/null)
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tmpdir=$(mktemp -d)
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# Use a function to avoid embedding $tmpdir in a quoted string (prevents injection
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# if TMPDIR were crafted to contain shell metacharacters).
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_cleanup() { rm -rf "$tmpdir"; }
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trap _cleanup EXIT
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# Shared counter across process_dir calls — intentionally NOT local
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i=0
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process_dir() {
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local dir="$1"
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while IFS= read -r file; do
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local mtime dp is_new
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mtime=$(date -u -r "$file" +%Y-%m-%dT%H:%M:%SZ)
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dp="${file/#$HOME/~}"
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# Check if this file is known to results.json (exact whole-line match to
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# avoid substring false-positives, e.g. "python-patterns" matching "python-patterns-v2").
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if echo "$known_paths" | grep -qxF "$dp"; then
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is_new="false"
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# Known file: only emit if mtime changed (ISO 8601 string comparison is safe)
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[[ "$mtime" > "$evaluated_at" ]] || continue
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else
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is_new="true"
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# New file: always emit regardless of mtime
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fi
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jq -n \
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--arg path "$dp" \
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--arg mtime "$mtime" \
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--argjson is_new "$is_new" \
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'{path:$path,mtime:$mtime,is_new:$is_new}' \
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> "$tmpdir/$i.json"
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i=$((i+1))
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done < <(find "$dir" -name "*.md" -type f 2>/dev/null | sort)
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}
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[[ -d "$GLOBAL_DIR" ]] && process_dir "$GLOBAL_DIR"
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[[ -n "$CWD_SKILLS_DIR" && -d "$CWD_SKILLS_DIR" ]] && process_dir "$CWD_SKILLS_DIR"
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if [[ $i -eq 0 ]]; then
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echo "[]"
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else
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jq -s '.' "$tmpdir"/*.json
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fi
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56
skills/skill-stocktake/scripts/save-results.sh
Executable file
56
skills/skill-stocktake/scripts/save-results.sh
Executable file
@@ -0,0 +1,56 @@
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#!/usr/bin/env bash
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# save-results.sh — merge evaluated skills into results.json with correct UTC timestamp
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# Usage: save-results.sh RESULTS_JSON <<< "$EVAL_JSON"
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#
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# stdin format:
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# { "skills": {...}, "mode"?: "full"|"quick", "batch_progress"?: {...} }
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#
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# Always sets evaluated_at to current UTC time via `date -u`.
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# Merges stdin .skills into existing results.json (new entries override old).
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# Optionally updates .mode and .batch_progress if present in stdin.
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set -euo pipefail
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RESULTS_JSON="${1:-}"
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if [[ -z "$RESULTS_JSON" ]]; then
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echo "Error: RESULTS_JSON argument required" >&2
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echo "Usage: save-results.sh RESULTS_JSON <<< \"\$EVAL_JSON\"" >&2
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exit 1
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fi
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EVALUATED_AT=$(date -u +%Y-%m-%dT%H:%M:%SZ)
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# Read eval results from stdin and validate JSON before touching the results file
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input_json=$(cat)
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if ! echo "$input_json" | jq empty 2>/dev/null; then
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echo "Error: stdin is not valid JSON" >&2
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exit 1
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fi
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if [[ ! -f "$RESULTS_JSON" ]]; then
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# Bootstrap: create new results.json from stdin JSON + current UTC timestamp
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echo "$input_json" | jq --arg ea "$EVALUATED_AT" \
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'. + { evaluated_at: $ea }' > "$RESULTS_JSON"
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exit 0
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fi
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# Merge: new .skills override existing ones; old skills not in input_json are kept.
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# Optionally update .mode and .batch_progress if provided.
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#
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# Use mktemp for a collision-safe temp file (concurrent runs on the same RESULTS_JSON
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# would race on a predictable ".tmp" suffix; random suffix prevents silent overwrites).
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tmp=$(mktemp "${RESULTS_JSON}.XXXXXX")
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trap 'rm -f "$tmp"' EXIT
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jq -s \
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--arg ea "$EVALUATED_AT" \
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'.[0] as $existing | .[1] as $new |
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$existing |
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.evaluated_at = $ea |
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.skills = ($existing.skills + ($new.skills // {})) |
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if ($new | has("mode")) then .mode = $new.mode else . end |
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if ($new | has("batch_progress")) then .batch_progress = $new.batch_progress else . end' \
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"$RESULTS_JSON" <(echo "$input_json") > "$tmp"
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mv "$tmp" "$RESULTS_JSON"
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170
skills/skill-stocktake/scripts/scan.sh
Executable file
170
skills/skill-stocktake/scripts/scan.sh
Executable file
@@ -0,0 +1,170 @@
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#!/usr/bin/env bash
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# scan.sh — enumerate skill files, extract frontmatter and UTC mtime
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# Usage: scan.sh [CWD_SKILLS_DIR]
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# Output: JSON to stdout
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#
|
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# When CWD_SKILLS_DIR is omitted, defaults to $PWD/.claude/skills so the
|
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# script always picks up project-level skills without relying on the caller.
|
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#
|
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# Environment:
|
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# SKILL_STOCKTAKE_GLOBAL_DIR Override ~/.claude/skills (for testing only;
|
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# do not set in production — intended for bats tests)
|
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# SKILL_STOCKTAKE_PROJECT_DIR Override project dir detection (for testing only)
|
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set -euo pipefail
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GLOBAL_DIR="${SKILL_STOCKTAKE_GLOBAL_DIR:-$HOME/.claude/skills}"
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CWD_SKILLS_DIR="${SKILL_STOCKTAKE_PROJECT_DIR:-${1:-$PWD/.claude/skills}}"
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# Path to JSONL file containing tool-use observations (optional; used for usage frequency counts).
|
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# Override via SKILL_STOCKTAKE_OBSERVATIONS env var if your setup uses a different path.
|
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OBSERVATIONS="${SKILL_STOCKTAKE_OBSERVATIONS:-$HOME/.claude/observations.jsonl}"
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|
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# Validate CWD_SKILLS_DIR looks like a .claude/skills path (defense-in-depth).
|
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# Only warn when the path exists — a nonexistent path poses no traversal risk.
|
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if [[ -n "$CWD_SKILLS_DIR" && -d "$CWD_SKILLS_DIR" && "$CWD_SKILLS_DIR" != */.claude/skills* ]]; then
|
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echo "Warning: CWD_SKILLS_DIR does not look like a .claude/skills path: $CWD_SKILLS_DIR" >&2
|
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fi
|
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|
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# Extract a frontmatter field (handles both quoted and unquoted single-line values).
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# Does NOT support multi-line YAML blocks (| or >) or nested YAML keys.
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extract_field() {
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local file="$1" field="$2"
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awk -v f="$field" '
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BEGIN { fm=0 }
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/^---$/ { fm++; next }
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fm==1 {
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n = length(f) + 2
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if (substr($0, 1, n) == f ": ") {
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val = substr($0, n+1)
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gsub(/^"/, "", val)
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gsub(/"$/, "", val)
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print val
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exit
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}
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}
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fm>=2 { exit }
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' "$file"
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}
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|
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# Get UTC timestamp N days ago (supports both macOS and GNU date)
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date_ago() {
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local n="$1"
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date -u -v-"${n}d" +%Y-%m-%dT%H:%M:%SZ 2>/dev/null ||
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date -u -d "${n} days ago" +%Y-%m-%dT%H:%M:%SZ
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}
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# Count observations matching a file path since a cutoff timestamp
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count_obs() {
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local file="$1" cutoff="$2"
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if [[ ! -f "$OBSERVATIONS" ]]; then
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echo 0
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return
|
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fi
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jq -r --arg p "$file" --arg c "$cutoff" \
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'select(.tool=="Read" and .path==$p and .timestamp>=$c) | 1' \
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"$OBSERVATIONS" 2>/dev/null | wc -l | tr -d ' '
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||||
}
|
||||
|
||||
# Scan a directory and produce a JSON array of skill objects
|
||||
scan_dir_to_json() {
|
||||
local dir="$1"
|
||||
local c7 c30
|
||||
c7=$(date_ago 7)
|
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c30=$(date_ago 30)
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||||
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local tmpdir
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tmpdir=$(mktemp -d)
|
||||
# Use a function to avoid embedding $tmpdir in a quoted string (prevents injection
|
||||
# if TMPDIR were crafted to contain shell metacharacters).
|
||||
local _scan_tmpdir="$tmpdir"
|
||||
_scan_cleanup() { rm -rf "$_scan_tmpdir"; }
|
||||
trap _scan_cleanup RETURN
|
||||
|
||||
# Pre-aggregate observation counts in two passes (one per window) instead of
|
||||
# calling jq per-file — reduces from O(n*m) to O(n+m) jq invocations.
|
||||
local obs_7d_counts obs_30d_counts
|
||||
obs_7d_counts=""
|
||||
obs_30d_counts=""
|
||||
if [[ -f "$OBSERVATIONS" ]]; then
|
||||
obs_7d_counts=$(jq -r --arg c "$c7" \
|
||||
'select(.tool=="Read" and .timestamp>=$c) | .path' \
|
||||
"$OBSERVATIONS" 2>/dev/null | sort | uniq -c)
|
||||
obs_30d_counts=$(jq -r --arg c "$c30" \
|
||||
'select(.tool=="Read" and .timestamp>=$c) | .path' \
|
||||
"$OBSERVATIONS" 2>/dev/null | sort | uniq -c)
|
||||
fi
|
||||
|
||||
local i=0
|
||||
while IFS= read -r file; do
|
||||
local name desc mtime u7 u30 dp
|
||||
name=$(extract_field "$file" "name")
|
||||
desc=$(extract_field "$file" "description")
|
||||
mtime=$(date -u -r "$file" +%Y-%m-%dT%H:%M:%SZ)
|
||||
# Use awk exact field match to avoid substring false-positives from grep -F.
|
||||
# uniq -c output format: " N /path/to/file" — path is always field 2.
|
||||
u7=$(echo "$obs_7d_counts" | awk -v f="$file" '$2 == f {print $1}' | head -1)
|
||||
u7="${u7:-0}"
|
||||
u30=$(echo "$obs_30d_counts" | awk -v f="$file" '$2 == f {print $1}' | head -1)
|
||||
u30="${u30:-0}"
|
||||
dp="${file/#$HOME/~}"
|
||||
|
||||
jq -n \
|
||||
--arg path "$dp" \
|
||||
--arg name "$name" \
|
||||
--arg description "$desc" \
|
||||
--arg mtime "$mtime" \
|
||||
--argjson use_7d "$u7" \
|
||||
--argjson use_30d "$u30" \
|
||||
'{path:$path,name:$name,description:$description,use_7d:$use_7d,use_30d:$use_30d,mtime:$mtime}' \
|
||||
> "$tmpdir/$i.json"
|
||||
i=$((i+1))
|
||||
done < <(find "$dir" -name "*.md" -type f 2>/dev/null | sort)
|
||||
|
||||
if [[ $i -eq 0 ]]; then
|
||||
echo "[]"
|
||||
else
|
||||
jq -s '.' "$tmpdir"/*.json
|
||||
fi
|
||||
}
|
||||
|
||||
# --- Main ---
|
||||
|
||||
global_found="false"
|
||||
global_count=0
|
||||
global_skills="[]"
|
||||
|
||||
if [[ -d "$GLOBAL_DIR" ]]; then
|
||||
global_found="true"
|
||||
global_skills=$(scan_dir_to_json "$GLOBAL_DIR")
|
||||
global_count=$(echo "$global_skills" | jq 'length')
|
||||
fi
|
||||
|
||||
project_found="false"
|
||||
project_path=""
|
||||
project_count=0
|
||||
project_skills="[]"
|
||||
|
||||
if [[ -n "$CWD_SKILLS_DIR" && -d "$CWD_SKILLS_DIR" ]]; then
|
||||
project_found="true"
|
||||
project_path="$CWD_SKILLS_DIR"
|
||||
project_skills=$(scan_dir_to_json "$CWD_SKILLS_DIR")
|
||||
project_count=$(echo "$project_skills" | jq 'length')
|
||||
fi
|
||||
|
||||
# Merge global + project skills into one array
|
||||
all_skills=$(jq -s 'add' <(echo "$global_skills") <(echo "$project_skills"))
|
||||
|
||||
jq -n \
|
||||
--arg global_found "$global_found" \
|
||||
--argjson global_count "$global_count" \
|
||||
--arg project_found "$project_found" \
|
||||
--arg project_path "$project_path" \
|
||||
--argjson project_count "$project_count" \
|
||||
--argjson skills "$all_skills" \
|
||||
'{
|
||||
scan_summary: {
|
||||
global: { found: ($global_found == "true"), count: $global_count },
|
||||
project: { found: ($project_found == "true"), path: $project_path, count: $project_count }
|
||||
},
|
||||
skills: $skills
|
||||
}'
|
||||
Reference in New Issue
Block a user