test-coverage-audit
Skill2 starsChanged 4 months agoMITView on GitHub
Coverage gap analysis for this repo. Use when asked what is untested, whether tests are sufficient, or how to improve coverage.
5 other projects use a version of this.
Adopted by
Most recently taken up by
- harshitsinghbhandari/domain-expansiontheir own version, first seen Nov 8, 2026
- Xakki/ai-agents-skillstheir own version, first seen Nov 8, 2026
- evertonfernandes3321-wq/mythos-skillstheir own version, first seen Oct 20, 2026
- matthewcsimpson/agentic-playbookstheir own version, first seen Jun 24, 2026
- thehahndev/claude-skillstheir own version, first seen Jun 10, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 5
- Xakki/ai-agents-skills★ 6same name
- harshitsinghbhandari/domain-expansion★ 2same name
- evertonfernandes3321-wq/mythos-skills★ 0same name
- matthewcsimpson/agentic-playbooks★ 0same name
- thehahndev/claude-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository17 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .codex/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- adversarial-test-reviewSkill
- agent-dag-plannerSkill
- agent-plan-implementerSkill
- airtight-feature-deliverySkill
- deep-bug-auditSkill
- mivia-agent-workflowsSkill
- adversarial-test-reviewSkill
- agent-dag-plannerSkill
- agent-plan-implementerSkill
- airtight-feature-deliverySkill
- deep-bug-auditSkill
- mivia-agent-workflowsSkill
- test-coverage-auditSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 0 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 12
Read .ai/skills/test-coverage-audit/SKILL.md first.
- Very specific: line 14
Use mivia-agent-report/v1 from .ai/templates/agent-report-v1.md.
“Common” is measured: kept by at least 6 in 10 of the 4 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Test Coverage Audit
Read .ai/skills/test-coverage-audit/SKILL.md first. Follow AGENTS.md and .ai/rules/20-agent-quality.md.
Use mivia-agent-report/v1 from .ai/templates/agent-report-v1.md; do not define a Codex-specific report shape.
Codex-specific behavior:
- Build a behavior-to-test matrix.
- Flag tests that mock the thing under test.
- Name the exact missing test and mutation it should catch.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.