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Measures coding agent compliance to skills, rules, and definitions by auto-generating scenarios at 3 prompt strictness levels, running agents, classifying tool calls, and reporting rates with timelines.
npx claudepluginhub affaan-m/ecc --plugin eccHow this skill is triggered — by the user, by Claude, or both
Slash command
/everything-claude-code:skill-complyThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Measures whether coding agents actually follow skills, rules, or agent definitions by:
fixtures/compliant_trace.jsonlfixtures/noncompliant_trace.jsonlfixtures/tdd_spec.yamlprompts/classifier.mdprompts/scenario_generator.mdprompts/spec_generator.mdpyproject.tomlscripts/__init__.pyscripts/classifier.pyscripts/grader.pyscripts/parser.pyscripts/report.pyscripts/run.pyscripts/runner.pyscripts/scenario_generator.pyscripts/spec_generator.pyscripts/utils.pytests/test_grader.pytests/test_parser.pytests/test_runner.pyMeasures coding agent compliance with skills/rules/agents by generating specs/scenarios at 3 strictness levels, running agents, classifying tool calls, and reporting timelines with scores.
Tests CLAUDE.md and agent definition files for behavioral compliance: auto-generates scenarios, runs LLM-as-judge evaluations, reports per-rule pass/fail scores, and optionally improves rules via mutation.
Evaluates Claude Agent Skills quality via static analysis checks, A/B testing, and multi-model evals to benchmark activation rates and effectiveness.
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Measures whether coding agents actually follow skills, rules, or agent definitions by:
claude -p and capturing tool call traces via stream-jsonskills/*/SKILL.md): Workflow skills like search-first, TDD guidesrules/common/*.md): Mandatory rules like testing.md, security.md, git-workflow.mdagents/*.md): Whether an agent gets invoked when expected (internal workflow verification not yet supported)/skill-comply <path># 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 <path>
Measures whether a skill/rule is followed even when the prompt doesn't explicitly support it.
Reports are self-contained and include:
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.