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* 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>
14 lines
411 B
Python
14 lines
411 B
Python
"""Shared utilities for skill-comply scripts."""
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from __future__ import annotations
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def extract_yaml(text: str) -> str:
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"""Extract YAML from LLM output, stripping markdown fences if present."""
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lines = text.strip().splitlines()
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if lines and lines[0].startswith("```"):
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lines = lines[1:]
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if lines and lines[-1].startswith("```"):
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lines = lines[:-1]
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return "\n".join(lines)
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