ai-agents-external-claims
ai-agents-external-claims is a Web research & fact-checking skill for AI agents, published by rjmurillo in the ai-agents repository on GitHub. Skillspace rates ai-agents-external-claims B (83/100) and it passed the safety scan; the rating is based on static analysis only.
Verify external, vendor, and third-party claims (numbers, attributions, structure) against authoritative primary sources before they land in a repo artifact or external deliverable. Covers stake-holding sources, round-number tells, citation-chain drift, and the walk-the-gate-or-file-conservative discipline. Use when you say `verify an external claim`, `check a vendor number`, `is this stat real`, `validate a third-party citation`. Do NOT use for running an experiment (use `ai-agents-research-methodology`) or command-injection scanning (use `security-scan`).
- Grade
- B
- Quality
- 83 / 100
- Safety
- Passed
- GitHub stars
- 38
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
- 93 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- MIT
- 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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