Skill profile

decision-toolkit

Generate structured decision-making tools : step-by-step guides.

What this skill does for you

Generate structured decision-making tools : step-by-step guides, bias checkers, scenario explorers, and interactive dashboards. Use when facing significant choices requiring systematic analysis. Supports multiple cognitive styles and output formats.

Quoted from the skill description in the pinned source

Who made it

Publisherglebis

Repositoryclaude-skills

Installs310as 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 decision-toolkit skill from glebis/claude-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.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

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: 7524dff0c54bb85645b6bb2b0c6c148f4f7c3e29. 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: 7524dff0c54bb85645b6bb2b0c6c148f4f7c3e29. 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: 7524dff0c54bb85645b6bb2b0c6c148f4f7c3e29. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/glebis/claude-skills
Pinned skill file: View source at revision
Revision: 7524dff0c54bb85645b6bb2b0c6c148f4f7c3e29
Package hash: sha256:b04eb2f1347eef3f5d4bc8b74b8b9caae5265964cb8c22b3f39bccdc84cf4258
Licence: MIT