lit-audit
lit-audit is a Non-code artifact review skill for AI agents, published by bionoob7 in the nlr-workflow repository on GitHub. Skillspace rates lit-audit D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Factual fidelity audit for academic literature review manuscripts. Cross-references every specific quantitative claim in the manuscript — metric values (AUC, accuracy, F1, BLEU, hazard ratio, etc.), dataset names, model/architecture names, and sample sizes — against the source extraction notes or paper summaries, then reports which claims are verified, which are mismatched, and which lack a traceable citation. Use this skill whenever a manuscript draft has been updated, before any style-polish pass, or any time you suspect numbers may have drifted from their source notes. Works with any markdown manuscript + extraction note workflow, regardless of domain or citation style. Invoke with /lit-audit.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 34
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, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked 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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