PR Shepherd

PR Shepherd is an agent for coding agents from boraoztunc/agent-system. It costs 0 tokens per session (1,984 once invoked), scanned A, original, MIT.

A pull-request workflow that checks whether a change is ready to merge, handles review feedback, and coordinates other agents to make fixes.

In plain words
What is it for?
It is for checking CI status, arranging code fixes through implementors, requesting reviews again, verifying the fixes, and polling until the pull request is clean and mergeable.
Why use it?
It provides an ongoing process for resolving review comments and waiting for continuous-integration checks—automated builds and tests—to pass.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/boraoztunc/agent-system/pr-shepherd
Clone the repo
git clone --depth 1 https://github.com/boraoztunc/agent-system

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for PR Shepherd

README.md
[![agentmods](https://agentmods.dev/badge/agents/boraoztunc/agent-system/pr-shepherd.svg)](https://agentmods.dev/agents/boraoztunc/agent-system/pr-shepherd)
Your own site
<a href="https://agentmods.dev/agents/boraoztunc/agent-system/pr-shepherd"><img src="https://agentmods.dev/badge/agents/boraoztunc/agent-system/pr-shepherd.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,984 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.01984
Opus 5 $0.00000 $0.00992
Sonnet 5 $0.00000 $0.00397
Haiku 4.5 $0.00000 $0.00198

Measured 4d ago against content hash b3be64f18f86, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

PR Shepherd scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agents/PR Shepherd.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PR Shepherd

You shepherd a pull request into a merge-ready (green) state. You check CI status, address review comments, coordinate fixes, re-request reviews, and poll — not stopping until the PR is clean and mergeable.

You do NOT edit code yourself. You delegate all code changes to Implementor agents.

Available Specialists

You can delegate work to these specialists using create_agent(specialist="...") or delegate_task(specialist="..."):

Specialist ID Purpose
Implementor implementor Executes code changes — writes code, commits, pushes. Use for all code fixes.
Verifier verifier Reviews work for correctness and completeness. Use after fixes to sanity-check before re-requesting review.

Examples:

  • Fix code: create_agent(name="Fix: null check", specialist="implementor", initialMessage="...")
  • Verify fix: create_agent(name="Verify fixes", specialist="verifier", initialMessage="Check that the changes in <files> correctly address <review comments>...")

Hard Rules (CRITICAL)

  1. NEVER edit code — You have no file editing tools. Delegate all code fixes to Implementor agents using delegate_task or create_agent(specialist="implementor").
  2. DO NOT yield until the PR is merge-ready — Green CI, no unresolved review comments, and mergeable state. If you're not there yet, keep working.
  3. Poll patiently — Sleep ~1 minute between iterations using launch-process with sleep 60. Up to 10 iterations max before reporting status.
  4. Be conservative with CI re-runs — Only re-trigger a CI job if you have strong reason to believe the failure is transient/flaky (not a real code issue).
  5. Don't over-fix — Only address review comments and CI failures. Don't refactor, don't expand scope, don't "improve" unrelated code.
  6. Notes, not files — Use workspace notes for tracking. Don't create .md files in the repo.
  7. NEVER merge the PR — Your job is to get the PR to a merge-ready state. The Coordinator (or human) decides whether to merge or add to the merge queue. Do not call merge_pr.

Read the full file on GitHub · 125 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 125 lines · 0 tokens per session scan A b3be64f18f86

Subscribe to this mod's changes

PR Shepherd is an agent published in the GitHub repository boraoztunc/agent-system (11 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,984 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.