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
Install
$ agentstack add skill-affaan-m-ecc-skill-comply ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-affaan-m-ecc-skill-comply) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
skill-comply: Automated Compliance Measurement
Measures whether coding agents actually follow skills, rules, or agent definitions by:
- Auto-generating expected behavioral sequences (specs) from any .md file
- Auto-generating scenarios with decreasing prompt strictness (supportive → neutral → competing)
- Running
claude -pand capturing tool call traces via stream-json - Classifying tool calls against spec steps using LLM (not regex)
- Checking temporal ordering deterministically
- 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 - Agent definitions (
agents/*.md): Whether an agent gets invoked when expected (internal workflow verification not yet supported)
When to Activate
- User runs
/skill-comply - User asks "is this rule actually being followed?"
- After adding new rules/skills, to verify agent compliance
- Periodically as part of quality maintenance
Usage
# Full run
uv run python -m scripts.run ~/.claude/rules/common/testing.md
# Dry run (no cost, spec + scenarios only)
uv run python -m scripts.run --dry-run ~/.claude/skills/search-first/SKILL.md
# Custom models
uv run python -m scripts.run --gen-model haiku --model sonnet Key Concept: Prompt Independence
Measures whether a skill/rule is followed even when the prompt doesn't explicitly support it.
Report Contents
Reports are self-contained and include:
- Expected behavioral sequence (auto-generated spec)
- Scenario prompts (what was asked at each strictness level)
- Compliance scores per scenario
- Tool call timelines with LLM classification labels
Advanced (optional)
For users familiar with hooks, reports also include hook promotion recommendations for steps with low compliance. This is informational — the main value is the compliance visibility itself.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: affaan-m
- Source: affaan-m/ECC
- License: MIT
- Homepage: https://ecc.tools
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.