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Skill evidence / verify-docs-findable
Skill profile

verify-docs-findable

Audit whether a repo's docs actually ANSWER the questions a reader has : by spawning fresh.

What this skill does for you

Audit whether a repo's docs actually ANSWER the questions a reader has : by spawning fresh, cheap (Haiku) agents that cold-read ONLY the docs and measuring how fast they reach the answer, whether they hit dead-ends, whether they fall back to source code, and whether they cite docs that contradict each other. Use after a doc reorg, when docs "feel scattered," or when the same confusion keeps recurring. Surfaces findability gaps (a corpus can be COMPLETE : every doc indexed : yet not FINDABLE) plus a prioritized fix list. Works on any repo's docs, not just this one.

Quoted from the skill description in the pinned source

Who made it

Publisherzernie
Repositoryvigiles
Installs324as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the verify-docs-findable skill from zernie/vigiles.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 2469707a7e7d9452fdcf67c2c769a9a89ca10850. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 2469707a7e7d9452fdcf67c2c769a9a89ca10850. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 2469707a7e7d9452fdcf67c2c769a9a89ca10850. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/zernie/vigiles
Pinned skill file
View source at revision
Revision
2469707a7e7d9452fdcf67c2c769a9a89ca10850
Package hash
sha256:e7bdbf6aafd0003a046ca8f51db197c290e85b0b932404c610ddb2ea5796a5eb
Licence
MIT