audit-markers
audit-markers is a Test suite operations & coverage skill for AI agents, published by generative-computing in the mellea repository on GitHub. Skillspace rates audit-markers F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Audit and fix pytest markers on test files and examples. Classifies tests as unit/integration/e2e/qualitative using general heuristics and project-specific marker rules. Estimates GPU VRAM and RAM requirements by tracing model identifiers and looking up parameter counts. Use when: writing a new test and unsure which markers to apply; reviewing or auditing existing test markers; a test is unexpectedly skipped or not collected; a test is consuming too much GPU/RAM and you want to check its resource gates; checking marker correctness before committing; or any question about why a test does or doesn't run in a given configuration.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 1,727
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 61 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- references sensitive credential env
- executes shell/subprocess
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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