Edge Copy setup link
Skill evidence / audience-check
Skill profile

audience-check

Read the README (or any front-door doc) through the eyes of several distinct audience personas and...

What this skill does for you

Read the README (or any front-door doc) through the eyes of several distinct audience personas and report what each would think, miss, or bounce on

Quoted from the skill description in the pinned source

Who made it

Publisherzernie
Repositoryvigiles
Installs371as 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 audience-check 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
sha256:1aba7d67d9e00f81b1cd4d3ef6fb1f35c73ba9514d2a45716a033407e1280eb5
Licence
MIT