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-imported/skill-comply/SKILL.md
Source commit faf37c0859ebf627bfcb5225e8057d088691e0ae
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 8, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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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)
- 54
- Repository last updated
- Oct 10, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- ai-agents-automation Repository topic
- ai-skills Repository topic
- awesome Repository topic
- awesome-list Repository topic
- chatgpt Repository topic
- claude-skills Repository topic
- meta-ai Repository topic
- muse-ai 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 · 1,974 bytesprompts/spec_generator.mddoc · 1,645 bytespyproject.tomlasset · 360 bytesscripts/__init__.pyruns · 0 bytesscripts/classifier.pyruns · 2,414 bytesscripts/grader.pyruns · 7,767 bytesscripts/parser.pyruns · 2,777 bytesscripts/report.pyruns · 6,470 bytesscripts/run.pyruns · 4,294 bytesscripts/runner.pyruns · 9,114 bytesscripts/scenario_generator.pyruns · 1,835 bytesscripts/spec_generator.pyruns · 2,202 bytesscripts/utils.pyruns · 411 bytestests/test_grader.pyruns · 18,148 bytestests/test_parser.pyruns · 3,140 bytestests/test_runner.pyruns · 12,265 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