A workflow for managing a GitHub pull request from opening or updating it through review, testing, and a clean current result. A pull request is a proposed code change that others review before it is merged.

Use it to monitor CI, inspect automated and human review comments, fix valid issues, commit and push changes, and resolve discussions.

It prevents missed review threads and keeps valid findings from being ignored while the change is being checked.

How sageox/agent-toolkit configures Codex

Reuse

Borrowing it

Nothing to install: this file belongs to sageox/agent-toolkit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/sageox/agent-toolkit/main/.agents/skills/monitor-pr/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/sageox/agent-toolkit

Made for: Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/sageox/agent-toolkit/monitor-pr/github.svg)](https://agentmods.dev/skills/sageox/agent-toolkit/monitor-pr)

Your own site

<a href="https://agentmods.dev/skills/sageox/agent-toolkit/monitor-pr"><img src="https://agentmods.dev/badge/skills/sageox/agent-toolkit/monitor-pr/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/sageox/agent-toolkit/monitor-pr"><img src="https://agentmods.dev/badge/skills/sageox/agent-toolkit/monitor-pr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,809 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00102	$0.01809
Opus 5.5	$0.00041	$0.00724
Sonnet 5.5	$0.00020	$0.00362
Haiku 4.5	$0.00010	$0.00181

Measured 1mo ago against content hash 1a7ea114ede0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

monitor-pr 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/pr-review-state.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/skills/monitor-pr/SKILL.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Monitor PR

Own the selected pull request from its current state through a clean review result. Continue monitoring, fixing, testing, committing, pushing, replying, and resolving without an arbitrary iteration limit. Do not merge unless the user explicitly asks.

Read references/github-review-operations.md before the first GitHub mutation. Use scripts/pr-review-state.sh for every full review snapshot so inline threads and edited summary comments are never omitted.

Non-negotiable contract

Keep working while a safe, in-scope action can make progress.
Evaluate every finding on its merits. Never blanket-dismiss bot comments, nitpicks, or outdated threads.
Treat an outdated thread as unresolved until its claim has been checked against the current code.
Preserve unrelated user changes and repository conventions. Never force-push or rewrite history unless explicitly authorized.
Fail closed: an unreadable or partial GitHub response is unknown state, never a clean result.
Require only signals configured for this repository or named by the user. Do not require a particular review vendor merely because this skill knows about it.
Prove every completion condition against the same current remote head SHA.

1. Preflight and create or find the PR

Read repository instructions. Inspect git status, the current branch, remotes, and the complete diff from the intended base. For an existing PR, use its actual baseRefName; otherwise use the user-specified or repository-default branch.
Do not create a PR from its target branch or detached HEAD. Request input only when selecting a safe feature branch would change the user's intent.
Run the repository's relevant tests and review the full diff. Commit only task-related changes with a repository-conforming message. Leave unrelated changes untouched.
Verify GitHub authentication, push normally, then find the PR for the branch and create one if absent. Include a concise summary and test evidence.
Record the PR number, URL, base, branch, and head SHA. Continue on the same PR for every round.

Read the full file on GitHub · 146 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

1mo ago First seen · 146 lines · 102 tokens per session scan A 1a7ea114ede0

Subscribe to this mod's changes

monitor-pr is a skill published in the GitHub repository sageox/agent-toolkit (13 stars, last pushed yesterday), licensed MIT. It adds 102 tokens to every session and 1,809 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-10.

Code review Commits Git and workflow agent-framework ai-agents anthropic claude helm kubernetes

monitor-pr next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
monitor-prsageox/agent-toolkit	Skill	13	yesterday	MIT	A	102	Codex
pr-reviewaeonfun/aeon	Skill	788	yesterday	MIT	A	47	Claude Code, Codex
pr-triageaeonfun/aeon	Skill	788	yesterday	MIT	A	26	Claude Code, Codex
feedback-builderaeonfun/aeon	Skill	788	yesterday	MIT	A	45	Claude Code, Codex
install-skillaeonfun/aeon	Skill	788	yesterday	MIT	A	26	Claude Code, Codex
inbox-triageaeonfun/aeon	Skill	788	yesterday	MIT	A	32	Claude Code, Codex
ln-61-repository-publisherlevnikolaevich/claude-code-skills	Skill	587	yesterday	MIT	A	24	Claude Code

agent-toolkit: Skill for Codex