GitHub Repo Owners: Use Git's --author Flag to Block AI Bot Spam

The team at Archestra (an AI platform startup) was drowning in AI bot spam — 253 comments on a single bounty issue, 27 PRs for one feature that were never tested, and a weekly cleanup cost of half a day. Their repo became hostile to real contributors. They needed a whitelist, but GitHub doesn't natively support one for public repos. Their clever hack: abuse the Limit to prior contributors setting and Git's --author flag.
The Problem: AI Slop in GitHub
Bots generated endless “implementation plans” and aggressive replies. Real contributors like @ethanwater, @developerfred, and @Geetk172 were ignored. Even their first attempt — a reputation bot called “London-Cat” — didn't stop the spam. An “AI sheriff” bot closed legitimate PRs. The only real solution was to gate contributions behind human verification.
How the Whitelist Hack Works
GitHub's “Limit to prior contributors” setting blocks anyone who hasn't authored a commit on main. But Git commits have two identity fields: author and committer. Using --author, you can attribute a commit to someone else — GitHub grants contributor status if the email matches the target user's GitHub noreply email (<id>+<username>@users.noreply.github.com).
# Look up user's GitHub ID
gh api users /their-username --jq '.id'
# Commit under their name (email = [email protected])
git commit \
--author="their-username <[email protected]>" \
-m "chore: add their-username to external contributors"
Push to main, and that user can immediately comment, open issues, and submit PRs. The commit shows the external user as author; your account appears as committer. That's all GitHub needs to consider them a “prior contributor.”
Full Onboarding Flow
- User visits archestra.ai/contributor-onboard and completes a CAPTCHA while agreeing to ethical AI rules.
- On form submission, a GitHub Action fires, looks up the user's GitHub ID via the API, and adds their handle to an
EXTERNAL_CONTRIBUTORS.mdfile. - The action pushes a commit to
mainauthored under the external user — granting them contributor status immediately.
This is a nuclear option for a VC-backed startup that measures GitHub activity, but quality beat vanity metrics.
It's hacky, but it works. No third-party spam filter — just clever use of Git's identity fields and a two-step validation flow.
📖 Read the full source: HN AI Agents
👀 See Also

OpenClaw Pre-Launch Checklist for Security and Reliability
A Reddit user shares a practical six-point checklist for OpenClaw setup before going live, covering access control, safety rules, memory management, automation testing, delivery validation, and failure handling.
Build a $10 Token Monitor for LM Studio Using an ESP32 Display
A developer repurposed a $10 ESP32 weather station display as a live token monitor for LM Studio, coding the firmware in 15 minutes with Codex.

Fixing Claude Code's KV Cache Invalidation with Local Backends
Claude Code versions 2.1.36+ inject dynamic telemetry headers and git status updates into every request, breaking prefix matching and forcing full 20K+ token system prompt reprocessing on local backends like llama.cpp. A configuration fix in ~/.claude/settings.json can reduce processing from 60+ seconds to ~4 seconds.

A Management Framework for Leading AI Agents Effectively
A former backend lead identifies a plateau in AI agent productivity and proposes a framework based on three disciplines: cybernetics, information theory, and management. The framework details two operational modes: the Captain and the Architect.