MCPInstall

commit-archaeologist

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.

Installs
526
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/shubhamsaboo/awesome-llm-apps --skill commit-archaeologist
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads commit-archaeologist automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Commit Archaeologist

git blame names the last person to touch a line. This skill reconstructs the reason the line exists. It traces a file or current line range through local git history, identifies its origin and later edits, finds files that repeatedly changed beside it, and extracts intent clues from commit messages.

Everything runs locally. No network calls, API keys, or repository writes.

When to use

  • The user asks why a block, function, or file exists
  • The user wants to know who introduced code and what changed afterward
  • A rewrite or refactor needs historical constraints and change risks
  • A workaround, temporary branch, or surprising design choice needs context

When not to use

  • The user only wants raw blame output or a commit list
  • The task is to squash, delete, or rewrite git history
  • The repository is remote and has not been cloned locally
  • The question is about project-wide architecture rather than one file or region

Gather the target

Get the repository path and tracked file path. Use a line range when the user names a current block or function. If either path is missing, ask only for the missing value. Do not scan sibling repositories.

Paths should be relative to the repository and use forward slashes. Line ranges use inclusive current line numbers such as 40-72.

Run the dig

From this skill directory:

python3 scripts/archaeologist.py /path/to/repo src/cache.py --lines 40-72 --json

For the complete history of a file, omit --lines:

python3 scripts/archaeologist.py /path/to/repo src/cache.py --json

The script is read-only. With a range it uses git line-log; without one it uses file history with rename following. It also reads current authorship with blame. If it rejects a path or range, report that error and ask for a corrected target.

Before interpreting the JSON, read references/reading-git-history.md. Its confidence rules prevent blame ownership, correlation, and commit-message hints from becoming false certainty.

Read the JSON

  • region: normalized repository, current and historical paths, mode, range, and co-change threshold
  • introduced_by: oldest commit in the selected history
  • timeline: commits ordered oldest to newest, with category, changed files, and detected renames
  • co_changed: files present beside the target in enough selected commits
  • authors: current blamed lines and historical commit counts, kept separate
  • intent_signals: issue references, reverts, workarounds, temporary markers, and unfinished-work markers found in commit messages

An empty signal list means the messages do not say why. It does not mean the change had no reason.

Write the report

Turn the JSON into a short "why this code exists" report:

  1. Bottom line. One or two sentences with the most likely explanation and a confidence label: high, medium, or low.
  2. Origin. Introducing hash, date, author, subject, and the neighboring files that make the initial purpose clearer.
  3. Timeline. Oldest to newest. Group mechanical edits when they do not change the story, but preserve reverts, fixes, and workarounds.
  4. Companion files. Explain repeated co-changes as a coupling clue. Do not treat a one-off file in changed_files as a dependency.
  5. Intent evidence. Quote short commit subjects or signal words. Label any conclusion beyond those facts as an inference.
  6. Change risk. Name the constraints, companion files, and unresolved temporary choices worth checking before an edit.

Keep hashes short in prose, but preserve enough characters to identify them. Do not dump the full JSON unless the user asks.

Evidence rules

  • Current blame ownership is not proof of original authorship.
  • The oldest selected commit is the region's introduction, not always the file's first commit.
  • Repeated co-change suggests coupling; it does not prove a dependency.
  • Commit categories are message heuristics, not verified issue types.
  • "Temporary" and "workaround" are strong intent clues, but only the message author or linked discussion can confirm whether the constraint still applies.
  • If the history is thin or messages are vague, say "the history shows" and "likely" instead of inventing a design rationale.

Follow-ups

End by offering one relevant follow-up, such as:

  • "Want me to assess whether this looks deliberate or accidental?"
  • "Want me to map what could break if this region changes?"

For a deliberate-choice question, weigh repeated edits, issue references, reverts, and explicit constraint words. For a change-risk question, inspect the repeated co-change files and the last behavior-changing commits before proposing edits. Do not modify code until the user asks.

Files

  • scripts/archaeologist.py: offline git history walker and JSON report builder
  • references/reading-git-history.md: interpretation and confidence guide

FAQ

What does the commit-archaeologist skill do?

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.

How do I install commit-archaeologist?

Run npx skills add https://github.com/shubhamsaboo/awesome-llm-apps --skill commit-archaeologist in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/commit-archaeologist/ (personal) or .claude/skills/commit-archaeologist/ (project).

Which AI agents can use commit-archaeologist?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is commit-archaeologist safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains commit-archaeologist?

It is published by shubhamsaboo in shubhamsaboo/awesome-llm-apps. It has 526 recorded installs.

More from shubhamsaboo/awesome-llm-apps

View all →

fullstack-developer

shubhamsaboo/awesome-llm-apps

Modern web development expertise covering React, Node.js, databases, and full-stack architecture. Use when: building web applications, developing APIs, creating frontends, setting up databases, deploying web apps, or when user mentions React, Next.js, Express, REST API, GraphQL, MongoDB, PostgreSQL, or full-stack development.

Backend & APIs7.9K installs

academic-researcher

shubhamsaboo/awesome-llm-apps

Academic research assistant for literature reviews, paper analysis, and scholarly writing. Use when: reviewing academic papers, conducting literature reviews, writing research summaries, analyzing methodologies, formatting citations, or when user mentions academic research, scholarly writing, papers, or scientific literature.

Education & Science6.7K installs

content-creator

shubhamsaboo/awesome-llm-apps

Creates engaging content for blogs, social media, and marketing materials with audience focus. Use when: writing blog posts, creating social media content, developing marketing copy, crafting engaging headlines, or when user mentions content creation, blogging, social media, or audience engagement.

Marketing & SEO4.7K installs

code-reviewer

shubhamsaboo/awesome-llm-apps

Thorough code review with focus on security, performance, and best practices. Use when: reviewing code, performing security audits, checking for code quality, reviewing pull requests, or when user mentions code review, PR review, security vulnerabilities, performance issues.

technical-writer

shubhamsaboo/awesome-llm-apps

Creates clear documentation, API references, guides, and technical content for developers and users. Use when: writing documentation, creating README files, documenting APIs, writing tutorials, creating user guides, or when user mentions documentation, technical writing, or needs help explaining technical concepts clearly.

Docs & Writing4.5K installs

project-planner

shubhamsaboo/awesome-llm-apps

Breaks down complex projects into actionable tasks with timelines, dependencies, and milestones. Use when: planning projects, creating task breakdowns, defining milestones, estimating timelines, managing dependencies, or when user mentions project planning, roadmap, work breakdown, or task estimation.

Popular code quality & workflow skills

View category →

grill-me

mattpocock/skills

A relentless interview to sharpen a plan or design.

Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.

handoff

mattpocock/skills

Compact the current conversation into a handoff document for another agent to pick up.

domain-modeling

mattpocock/skills

Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a GLOSSARY.md, or recording or editing an ADR.

codebase-design

mattpocock/skills

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.

diagnosing-bugs

mattpocock/skills

Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.