agentic-test-audit SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
agentic-test-audit from francostino/opencode-skills-collection is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add francostino/opencode-skills-collection/agentic-test-audit@git:20261017.4671004Pins git:20261017.4671004 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- francostino/opencode-skills-collection
- Path
bundled-skills/agentic-test-audit/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261017.4671004, committed Oct 17, 2026
- Size
- 7,753 bytes
- Repository stars
- 87
- License
- MIT
Audit a pytest suite: surviving mutants and untested code, flaky, order-dependent and slow tests, and removal candidates checked on held-out mutants. Report-only.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Audit a test suite ## Overview This skill measures whether a Python test suite is a good check. It asks whether the suite would notice broken code, whether it is fast and stable enough to run on every change, and which tests cost time without adding detection. A pinned runner does the measuring; the skill reports and does not change tests. Upstream source: [timini/agentic-verification](https://github.com/timini/agentic-verification/tree/v0.3.0/plugin/skills/audit). ## When to Use This Skill - Use when the user asks to audit, review, speed up, prune or strengthen their pytest tests. - Use when the user asks which tests are useful, flaky or slow. - Use `@agentic-verify` instead to check a single change. ## How It Works Arguments: `$ARGUMENTS`. The first word is the mode: `quick` (default) or `deep`. Anything else goes to the runner. To check a single change rather than the whole suite, use the `agentic-verify` skill instead. An agent can only be trusted as far as the checks it runs. This skill measures whether a test suite is a good check: whether it would notice broken code, whether it is fast and stable enough …
Read the whole file at its exact version.
How to install
mdr add francostino/opencode-skills-collection/agentic-test-audit@sha256:8f53ac1bdcb92457The line at the top of this page pins the label git:20261017.4671004, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_sl7ifcuf4r3xz3ec)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 17, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7753 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
francostino/opencode-skills-collection · 87 stars · license MIT · pushed 2026-10-18 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_sl7ifcuf4r3xz3ec GET https://markdownregistry.com/api/v1/resolve?ref=francostino/opencode-skills-collection/agentic-test-audit GET https://markdownregistry.com/api/v1/blob/8f53ac1bdcb92457e9cdb0c49980e83a89bd0f169fbdd80332097d08303405c8
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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