Individual skill
skill-comply
Visualize whether skills, rules, and agent definitions are actually followed — auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines. Use when checking whether agents actually follow the skills, rules, and definitions they were given, rather than assuming they do.
skills/skill-comply/SKILL.md
Source commit d2ef2680594f9a17526a6e1a2e18b3d242c5d17b
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
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An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 299,750
- Repository last updated
- Nov 6, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agents Repository topic
- anthropic Repository topic
- claude Repository topic
- claude-code Repository topic
- developer-tools Repository topic
- llm Repository topic
- mcp Repository topic
- productivity Repository topic
- legal Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 2,500 bytesSKILL.mdcore · 2,500 bytesfixtures/compliant_trace.jsonlasset · 1,070 bytesfixtures/noncompliant_trace.jsonlasset · 629 bytesfixtures/tdd_spec.yamlasset · 1,266 bytesprompts/classifier.mddoc · 1,064 bytesprompts/scenario_generator.mddoc · 2,230 bytesprompts/spec_generator.mddoc · 1,645 bytespyproject.tomlasset · 360 bytesscripts/__init__.pyruns · 0 bytesscripts/classifier.pyruns · 2,970 bytesscripts/grader.pyruns · 7,767 bytesscripts/parser.pyruns · 2,809 bytesscripts/report.pyruns · 6,470 bytesscripts/run.pyruns · 4,312 bytesscripts/runner.pyruns · 22,387 bytesscripts/scenario_generator.pyruns · 1,888 bytesscripts/spec_generator.pyruns · 2,277 bytesscripts/utils.pyruns · 411 bytestests/test_classifier.pyruns · 3,512 bytestests/test_grader.pyruns · 19,981 bytestests/test_parser.pyruns · 3,140 bytestests/test_runner.pyruns · 37,014 bytestests/test_utf8.pyruns · 10,355 bytes
Read excerpt
# skill-comply: Automated Compliance Measurement
Measures whether coding agents actually follow skills, rules, or agent definitions by:
1. Auto-generating expected behavioral sequences (specs) from any .md file
2. Auto-generating scenarios with decreasing prompt strictness (supportive → neutral → competing)
3. Running `claude -p` and capturing tool call traces via stream-json
4. Classifying tool calls against spec steps using LLM (not regex)
5. Checking temporal ordering deterministically
6. Generating self-contained reports with spec, prompts, and timelines
## Supported Targets
- **Skills** (`skills/*/SKILL.md`): Workflow skills like search-first, TDD guides
- **Rules** (`rules/common/*.md`): Mandatory rules like testing.md, security.md, git-workflow.md