specstory-organize

Organize SpecStory AI coding sessions in .specstory/history into year/month folders.

What this skill does for you

Organize SpecStory AI coding sessions in .specstory/history into year/month folders. Run when user says "organize my history", "clean up specstory", "sort my sessions", or "organize specstory files".

Quoted from the skill description in the pinned source

Who made it

Publisherspecstoryai

Repositoryagent-skills

Installs288as 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 specstory-organize skill from specstoryai/agent-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: 9454d3f2b9ac5397d735ae3bbdcfa6dc83392036. 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: 9454d3f2b9ac5397d735ae3bbdcfa6dc83392036. Raw findings: . 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: 9454d3f2b9ac5397d735ae3bbdcfa6dc83392036. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/specstoryai/agent-skills
Pinned skill file: View source at revision
Revision: 9454d3f2b9ac5397d735ae3bbdcfa6dc83392036
Package hash: sha256:c46502e7d2ebb88b4a111c65cde2d0adfc9e3faff60f5ffe22cfa61140723446
Licence: Apache-2.0