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Commit History

CommunityPopular
rohitg00
commit-history

List recent git commits linked to agent sessions, optionally filtered by branch or repo. Use when the user asks "show agent commits", "what has the agent shipped", "list linked commits", or wants commits with their session context.

Overview

Publisherrohitg00
Repositoryagentmemory
Skill namecommit-history
Stars
28.6K
Forks
2.5K
Bundled files
1
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by rohitg00 on GitHub. Read the source before you install it.

Installation

Install the Commit History AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/rohitg00/agentmemory.git /tmp/agentmemory
mkdir -p .claude/skills
cp -r /tmp/agentmemory/plugin/skills/commit-history .claude/skills/commit-history
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Commit History in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Commit History on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Commit History is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

The user wants a list of agent-linked commits. Filter args: $ARGUMENTS

Quick start

json
memory_commits { "branch": "main", "limit": 20 }

Expected output:

text
9a1b2c3 main 2026-06-07 "rotate refresh tokens" · session 7f3a9c2 (14 obs)
b21d004 main 2026-06-05 "rate limiter audit"    · session b21d004 (9 obs)

Why

Render only the commits the tool returned, newest first. An empty result means the filter matched nothing, not that work is missing.

Workflow

  1. Parse $ARGUMENTS for branch=<name>, repo=<url-or-fragment>, limit=<n>. A bare numeric token is the limit. Defaults: no branch, no repo, limit 100, max 500.
  2. Call memory_commits with the parsed filters.
  3. Render reverse-chronologically: short sha, branch, authored timestamp, first line of the message, linked session id(s) (first 8) with observation counts, and file count when files is present.
  4. Empty result: tell the user the filter matched nothing and suggest dropping the branch or repo filter.

Anti-patterns

WRONG (REST fallback): concatenate ?branch= + raw branch name, so a name with ?, &, or # corrupts the query string.

RIGHT: URL-encode every value with URLSearchParams/encodeURIComponent before appending to GET /agentmemory/commits.

Checklist

  • Filters parsed; bare number treated as limit; limit capped at 500.
  • Output is reverse-chronological.
  • Session ids and observation counts come straight from the response.
  • REST fallback URL-encodes branch, repo, and limit.

See also

  • commit-context: drill into one commit's session.
  • recall: search the observations behind a linked session.

Troubleshooting

See ../_shared/TROUBLESHOOTING.md if memory_commits is not available.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Commit History AI skill do?

List recent git commits linked to agent sessions, optionally filtered by branch or repo. Use when the user asks "show agent commits", "what has the agent shipped", "list linked commits", or wants commits with their session context.

Why use Commit History on TypingMind?

Because you install it once and use it with any model. Commit History is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Commit History in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rohitg00/agentmemory/tree/main/plugin/skills/commit-history. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Commit History?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Commit History?

As many as you like. As long as a model supports skills, you can use Commit History with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Commit History AI skill free?

Yes. It is published on GitHub by rohitg00 under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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