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Github Author Context

CommunityPopular
steipete
github-author-context

GitHub contributor context: identity, activity, trust, company/team signal.

Overview

Publishersteipete
Repositoryagent-scripts
Skill namegithub-author-context
Stars
6.6K
Forks
547
Bundled files
1
LicenseMIT
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 steipete on GitHub. Read the source before you install it.

Installation

Install the Github Author Context 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/steipete/agent-scripts.git /tmp/agent-scripts
mkdir -p .claude/skills
cp -r /tmp/agent-scripts/skills/github-author-context .claude/skills/github-author-context
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Github Author Context 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 Github Author Context 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 Github Author Context 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.

GitHub Author Context

Build a compact maintainer-facing profile for a PR author or GitHub user. Use this by default during PR review unless the author is Peter (steipete, Peter Steinberger, or an obvious Peter-owned bot/account).

Inputs

Prefer a GitHub login. From a PR:

bash
gh pr view <n> --json author,url,headRepository,baseRepository -q '{author:.author.login,url:.url,repo:.baseRepository.nameWithOwner}'

Skip the profile pass for steipete unless the user explicitly asks.

Source Order

  1. OpenClaw contributor notes:
bash
~/Projects/maintainers/scripts/clawtributors find github <login>

If a contributor file matches in ~/Projects/maintainers/contributors/people, read only:

  • Identity
  • Signals
  • Context
  • Evidence
  • Notes

Fallback only when the new contributor file is missing and old maintainer context might help:

bash
rg -n -i "<login>|<name>|<discord>" ~/Projects/openclaw-maintainers/people ~/Projects/openclaw-maintainers/data

If an old person file matches, read only the relevant sections:

  • Verdict
  • Identity
  • Company Affiliation
  • Metrics
  • Discord Communication
  • Evidence
  • Risks / Concerns / Recommendation when present
  1. Live GitHub public profile:
bash
gh api "users/<login>" --jq '{login,name,company,location,bio,blog,twitter_username,created_at,followers,following,public_repos}'
  1. Target-repo activity:
bash
gh search prs --repo <owner/repo> --author <login> --state merged --limit 20 --json number,title,mergedAt,url
gh search prs --repo <owner/repo> --author <login> --state open --limit 20 --json number,title,updatedAt,url
gh search issues --repo <owner/repo> --author <login> --state open --limit 20 --json number,title,updatedAt,url
gh api "repos/<owner>/<repo>/collaborators/<login>/permission" --jq '{permission,user:.user.login}' 2>/dev/null || true

For OpenClaw, prefer the new openclaw/maintainers contributor file over recomputing activity unless freshness clearly matters.

  1. Local git evidence when useful:
bash
git log --all --author="<login>" --since="90 days ago" --oneline --decorate --no-merges | head -40
git shortlog -sne --all | rg -i "<login>|<name>|<email>"

Output

Keep it short. Add this block near the top of a PR review:

text
Author context: @login
- Who: <name/company/location/role, confidence>
- Activity: <merged/open PRs, issues, reviews/commits if known>
- OpenClaw signal: <maintainer/candidate/drive-by/vendor/security/unknown>
- Risk: <review-load, broad PRs, low history, company-governance, none obvious>

Do not quote private phone/email/contact details unless Peter asks. Separate employer from company-directed OpenClaw work; almost everyone has an employer.

Contributor Notes

After a merge/rejection/close/review, add a note only if it creates future review value: first good merge, unusually strong work, repeated quality problems, slop, no-repro churn, exceptional responsiveness, lack of follow-through, or identity confirmation.

Use the maintainer repo helper so Markdown stays consistent:

bash
~/Projects/maintainers/scripts/clawtributors note github <login> --kind merged --pr <n> --summary "Focused bug fix. Tests credible. Smooth review."
~/Projects/maintainers/scripts/clawtributors note github <login> --kind rejected --pr <n> --summary "Broad generated refactor; no reproducible bug; asked to split."
~/Projects/maintainers/scripts/clawtributors link github <login> discord <id> --username <discord> --confidence high --evidence "Self-linked authored PRs in #clawtributors."

Keep notes terse, factual, dated, and linked. Do not record ordinary noise.

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 Github Author Context AI skill do?

GitHub contributor context: identity, activity, trust, company/team signal.

Why use Github Author Context on TypingMind?

Because you install it once and use it with any model. Github Author Context 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 Github Author Context in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/steipete/agent-scripts/tree/main/skills/github-author-context. 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 Github Author Context?

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 Github Author Context?

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

Is the Github Author Context AI skill free?

Yes. It is published on GitHub by steipete under the MIT 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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