resolve-review-pr

resolve-review-pr is a skill for Claude Code, Codex from omnigent-ai/omnigent. It costs 23 tokens per session (2,970 once invoked), scanned A, original, Apache-2.0.

A workflow for reviewing someone else's proposed bug fix using a checked reproduction and the complete change. It compares the pull request's behavior with the original unfixed behavior.

In plain words
What is it for?
Use it to check out a proposed fix, rerun the reproduced failure, inspect every relevant change, and decide whether the pull request resolves the problem.
Why use it?
A passing test alone does not prove that a pull request fixes the reported bug or avoids unrelated problems.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to check out a proposed fix, rerun the reproduced failure, inspect every relevant change, and decide whether the pull request resolves the problem.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/omnigent-ai/omnigent/resolve-review-pr
About the project

Omnigent is an open-source orchestration layer for running and coordinating different AI coding agents through one system. It is for developers who want to combine agents, apply policies and sandboxing, and continue sessions across devices. The catalogue add-ons extend its agent workflows.

omnigent-ai/omnigent · 10,832 stars · on GitHub · omnigent.ai

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.

Any agent
npx skills add omnigent-ai/omnigent --skill resolve-review-pr
Clone the repo
git clone --depth 1 https://github.com/omnigent-ai/omnigent

Made for: Claude Code, 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.

agentmods badge for resolve-review-pr

README.md
[![agentmods](https://agentmods.dev/badge/skills/omnigent-ai/omnigent/resolve-review-pr/github.svg)](https://agentmods.dev/skills/omnigent-ai/omnigent/resolve-review-pr)
Your own site
<a href="https://agentmods.dev/skills/omnigent-ai/omnigent/resolve-review-pr"><img src="https://agentmods.dev/badge/skills/omnigent-ai/omnigent/resolve-review-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.

agentmods 80×15 button for resolve-review-pr

Your own site · 80×15
<a href="https://agentmods.dev/skills/omnigent-ai/omnigent/resolve-review-pr"><img src="https://agentmods.dev/badge/skills/omnigent-ai/omnigent/resolve-review-pr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,970 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00023 $0.02970
Opus 5.5 $0.00009 $0.01188
Sonnet 5.5 $0.00005 $0.00594
Haiku 4.5 $0.00002 $0.00297

Measured yesterday against content hash fbc2629f1dac, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

resolve-review-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 yesterday.

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.

dev/resolve-agent/skills/resolve-review-pr/SKILL.md · 185 lines

How it starts

The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Step 2A — Review the existing fix PR

You are reviewing someone else's candidate fix, not writing your own. The reproduction test is evidence only after independent validation. Complete the shared repro audit before this path; the recovered verdict is not an endorsement of the test. A passing repro alone does not prove the PR fixes the bug.

  1. Check out the PR head into your worktree (gh pr checkout <number>), then ensure the repro test at test_path is present on top of it (it is your artifact, not theirs — re-apply it if the checkout doesn't carry it). If a test you keep — the repro test, or one the PR adds — names a ticket/issue in its filename or code, rename it and strip the reference per the "name by the problem, never the ticket" rule in 2B.4.
  2. Run the same audited repro test against the PR. Compare it with the behavioral failure on the recorded unfixed base:
    • Passes → evidence that the tested behavior is corrected, subject to the journey and diff review below. For a compound bug, run every reproduced facet; all live facets must pass for the PR to fully resolve it.
    • Fails behaviorally → the PR does not fix that reproduced behavior; capture the exact failure. Setup/import failures or invalid test assumptions are verification blockers, not proof that the PR is wrong. Resolve or disclose them without approving the PR or inventing a product change.
  3. Record the journey against the PR head — always. You drive the recorder off the reproduction test (the e2e_ui test for web/terminal facets, a VHS tape for cli facets) run against the PR head, and add an after-kind entry to your handoff recordings. This is not gated on the repro handoff carrying footage — you have the test and the journey, which is all the recorder needs, so produce the after-clip whether or not any before-clip was recovered. Burn timed step-by-step captions into each new clip and inspect the render using dev/caption_recording.py; the attachment description alone is not an on-screen caption. Use the same lanes as 2B.5 — see dev/recording-lanes.md (build the SPA first, record via OMNIGENT_E2E_RECORD_DIR, per-surface web / mobile / terminal / cli / desktop mechanics). Save the raw capture to recordings/<slug>/raw/after-<facet>.<ext>, render to recordings/<slug>/after-<facet>.mp4, and declare only the inspected final path with a caption for what the clip shows. If captioning fails, use the shared guide's explicit fallback path instead. The test result determines the verdict separately; the footage must show the product journey and its visible outcome, never the test runner. When the handoff does carry a before clip, carry it through and produce the after; when it carries none, still produce the after and note the missing before. Only omit the after clip when it is genuinely unobtainable (recorder tooling missing, or the fixture can't come online after the SPA build and the leaked runner env is stripped) — say so explicitly in your review comment and in evidence, naming the blocker. An online: false seen while OMNIGENT_RUNNER_ID is still set is your own un-stripped env, not a blocker: re-run with the env -u prefix from dev/recording-lanes.md first. A missing upstream before-clip is never that blocker. Never drop it silently.
  4. Review the diff for quality, not just green. Decide whether this is the best practical approach for the repository, not merely an approach that makes the reproduction pass. Identify the plausible alternatives suggested by the surrounding architecture and compare them briefly: does this PR fix the root cause at the correct layer, follow the established abstraction, minimize special cases and long-term maintenance cost, and preserve security, compatibility, and performance? Does it miss facets or obvious adjacent edge cases, or introduce a regression in the surrounding code? Complete the shared impact assessment and run its checks for the whole PR. Record why the selected approach is preferable in the review. Apply resolve-investigate to the reported configuration, competing causes, and historical design rationale; explicitly identify policy changes even when the repro test passes. "Best" means the strongest maintainable fit for this codebase and bug, not a license to replace a sound, idiomatic contribution with a theoretically purer rewrite or a personal style preference.

Read the full file on GitHub · 185 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. yesterday Changed · +5 lines fbc2629f1dac
  2. 12d ago Changed · +4 lines c532c074b6d9
  3. 15d ago Changed · -4 lines 8bc08df7b9fa
  4. 16d ago Changed · +12 lines fb35c566bd40
  5. 21d ago First seen · 168 lines · 23 tokens per session scan A b93261df97e8

Subscribe to this mod's changes

resolve-review-pr is a skill published in the GitHub repository omnigent-ai/omnigent (10,832 stars, last pushed today), licensed Apache-2.0. It adds 23 tokens to every session and 2,970 once invoked, about $0.0001 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 2026-09-25.