Skill profile

recall

Use when the user describes a task and wants to know whether something similar has been done before.

What this skill does for you

Use when the user describes a task and wants to know whether something similar has been done before, then turn the closest prior session into a task playbook. Triggers on phrases like "have we done this before", "recall how we did X", "find similar work", "any precedent for", "has anyone solved", "is there a template for", and "how did we do this last time"

Quoted from the skill description in the pinned source

Who made it

Publisherentireio

Repositoryskills

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 recall skill from entireio/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: fe5266f76d846222c73b080ce39fd803dd705198. 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: fe5266f76d846222c73b080ce39fd803dd705198. 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: fe5266f76d846222c73b080ce39fd803dd705198. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/entireio/skills
Pinned skill file: View source at revision
Revision: fe5266f76d846222c73b080ce39fd803dd705198
Package hash: sha256:170cf84b4bfa2a656af048e265d85c8711c6cd2e27e9b5be97e321c0c3ed23c8
Licence: MIT