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feat(skills): add skill-comply — automated behavioral compliance measurement (#724)
* feat(skills): add skill-comply — automated behavioral compliance measurement Automated compliance measurement for skills, rules, and agent definitions. Generates behavioral specs, runs scenarios at 3 strictness levels, classifies tool calls via LLM, and produces self-contained reports. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(skill-comply): address bot review feedback - AGENTS.md: fix stale skill count (115 → 117) in project structure - run.py: replace remaining print() with logger, add zero-division guard, create parent dirs for --output path - runner.py: add returncode check for claude subprocess, clarify relative_to path traversal validation - parser.py: use is_file() instead of exists(), catch KeyError for missing trace fields, add file check in parse_spec - classifier.py: log warnings on malformed classification output, guard against non-dict JSON responses - grader.py: filter negative indices from LLM classification Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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# Everything Claude Code (ECC) — Agent Instructions
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This is a **production-ready AI coding plugin** providing 28 specialized agents, 116 skills, 60 commands, and automated hook workflows for software development.
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This is a **production-ready AI coding plugin** providing 28 specialized agents, 119 skills, 60 commands, and automated hook workflows for software development.
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**Version:** 1.9.0
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@@ -142,7 +142,7 @@ Troubleshoot failures: check test isolation → verify mocks → fix implementat
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```
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agents/ — 28 specialized subagents
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skills/ — 115 workflow skills and domain knowledge
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skills/ — 117 workflow skills and domain knowledge
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commands/ — 60 slash commands
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hooks/ — Trigger-based automations
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rules/ — Always-follow guidelines (common + per-language)
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