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Skill evidence / progressive-disclosure
Skill profile

progressive-disclosure

Revealing AI capability gradually to match user mental models.

What this skill does for you

Revealing AI capability gradually to match user mental models.

Quoted from the skill description in the pinned source

Who made it

Publisherowl-listener
Installs299as 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 progressive-disclosure skill from owl-listener/ai-design-skills.

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: f41b650435b62dec6d5b1dc3598ac4679f8b7ae7. 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: f41b650435b62dec6d5b1dc3598ac4679f8b7ae7. 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: f41b650435b62dec6d5b1dc3598ac4679f8b7ae7. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/owl-listener/ai-design-skills
Pinned skill file
View source at revision
Revision
f41b650435b62dec6d5b1dc3598ac4679f8b7ae7
Package hash
sha256:04d8abd4a56e36d1100c7c5e4c9cf2d69871ce1aa20fec4283a021d3dd46418e
Licence
MIT