Edge Copy setup link
Skill evidence / commit-archaeologist
Skill profile

commit-archaeologist

Reconstructs why code exists from local git history.

What this skill does for you

Reconstructs why code exists from local git history, including the introducing commit, later changes, current authors, repeated companion files, and likely intent. Use when the user asks "why does this code exist", "who wrote this function and why", or to "explain the history of this function" before a rewrite, refactor, or risky edit. Runs entirely locally.

Quoted from the skill description in the pinned source

Who made it

Publishershubhamsaboo
Installs386as 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 commit-archaeologist skill from shubhamsaboo/awesome-llm-apps.

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: dc676965bc39bcd4fbe164bc3ea31bb75091e0c1. Raw findings: 1. 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: dc676965bc39bcd4fbe164bc3ea31bb75091e0c1. 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: dc676965bc39bcd4fbe164bc3ea31bb75091e0c1. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/shubhamsaboo/awesome-llm-apps
Pinned skill file
View source at revision
Revision
dc676965bc39bcd4fbe164bc3ea31bb75091e0c1
Package hash
sha256:1377e152e00468745f8abd9512172a4ba0d91d7a95b71bea8bd787711e6adb9f
Licence
Apache-2.0