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.
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.
npx skills add omnigent-ai/omnigent --skill resolve-review-prgit clone --depth 1 https://github.com/omnigent-ai/omnigentWrote 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.
[](https://agentmods.dev/skills/omnigent-ai/omnigent/resolve-review-pr)<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.
<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>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 | $0.00023 | $0.02970 |
| Opus 5.5 | $0.00009 | $0.01188 |
| Sonnet 5.5 | $0.00005 | $0.00594 |
| Haiku 4.5 | $0.00002 | $0.00297 |
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.
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.
- Check out the PR head into your worktree (
gh pr checkout <number>), then ensure the repro test attest_pathis 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. - 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
reproducedfacet; 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.
- Passes → evidence that the tested behavior is corrected, subject to the
journey and diff review below. For a compound bug, run every
- Record the journey against the PR head — always. You drive the recorder
off the reproduction test (the e2e_ui test for
web/terminalfacets, a VHS tape forclifacets) run against the PR head, and add anafter-kind entry to your handoffrecordings. 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 usingdev/caption_recording.py; the attachment description alone is not an on-screen caption. Use the same lanes as 2B.5 — seedev/recording-lanes.md(build the SPA first, record viaOMNIGENT_E2E_RECORD_DIR, per-surfaceweb/mobile/terminal/cli/desktopmechanics). Save the raw capture torecordings/<slug>/raw/after-<facet>.<ext>, render torecordings/<slug>/after-<facet>.mp4, and declare only the inspected final path with acaptionfor 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 inevidence, naming the blocker. Anonline: falseseen whileOMNIGENT_RUNNER_IDis still set is your own un-stripped env, not a blocker: re-run with theenv -uprefix fromdev/recording-lanes.mdfirst. A missing upstream before-clip is never that blocker. Never drop it silently. - 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-investigateto 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.
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.
- yesterday Changed · +5 lines fbc2629f1dac
- 12d ago Changed · +4 lines c532c074b6d9
- 15d ago Changed · -4 lines 8bc08df7b9fa
- 16d ago Changed · +12 lines fb35c566bd40
- 21d ago First seen · 168 lines · 23 tokens per session scan A b93261df97e8
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.
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