context7-research — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited context7-research (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Use Context7 as the source of truth for library/framework documentation during implementation, reviews, and debugging.
libraryName: product/package/framework name (e.g., next.js, zod, supabase)objective: what you need to do (e.g., “configure SSR auth”, “migrate v3->v4”, “use hook X”)version: only if the user specifies one or you can infer it from repo context (otherwise default to “latest”)./org/project (or /org/project/version) format, skip resolution.mcp__context7__resolve-library-id with:libraryName: extracted namequery: the full user objective (not just a keyword)mcp__context7__query-docs with the selected libraryId and a tight query (see Query Budget).libraryId used (and version if applicable)UNVERIFIED and ask for the smallest clarification needed.Use at most 3 mcp__context7__query-docs calls per user request. Plan the queries up-front:
If you can’t cover everything within 3 calls, ask the user to narrow scope (or pick the highest-impact subquestion).
UNVERIFIED) or version-dependent.references/playbook.mdreferences/troubleshooting.mdreferences/design-spec.mdassets/report-template.mdpython3 scripts/new_report.py --out ./context7-research.md --library-name "<name>" --question "<objective>"~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.