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 otto-drive-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/otto-drive-pr)<a href="https://agentmods.dev/skills/omnigent-ai/omnigent/otto-drive-pr"><img src="https://agentmods.dev/badge/skills/omnigent-ai/omnigent/otto-drive-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/otto-drive-pr"><img src="https://agentmods.dev/badge/skills/omnigent-ai/omnigent/otto-drive-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 | $0.00014 | $0.00244 |
| Opus 5.5 | $0.00006 | $0.00098 |
| Sonnet 5.5 | $0.00003 | $0.00049 |
| Haiku 4.5 | $0.00001 | $0.00024 |
Grade A, and why
otto-drive-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 today.
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.
What it actually says
Shared PR-driving resources
Read each resource when the agent's PR-driving procedure reaches its substep:
| Substep | Resource |
|---|---|
| 4.2, current CI and mergeability | ci.md |
| 4.1, preview after CI and both reviews are clean | preview.md |
Use read_skill_file with this skill name and the relative filename, or read
relative to the directory supplied by the native Skill tool.
Substep numbers follow Resolve's resolve-drive-pr: 4.3 is the shared
otto-pr-review-loop, and 4.4/4.5 are the agent's own live-validation and
maintainer-handoff steps. "Fix" and "bug" mean the PR's change. The review path
and fork takeovers apply only to agents that review other authors' PRs. Handoff
fields named here (ci_status, ui_preview, validation_surface,
files_changed) are Resolve's; record the same facts in your agent's handoff.
What ships with it
2 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.
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.
- today First seen · 24 lines · 14 tokens per session scan A b5ab5dee48e9
otto-drive-pr is a skill published in the GitHub repository omnigent-ai/omnigent (10,855 stars, last pushed today), licensed Apache-2.0. It adds 14 tokens to every session and 244 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 2026-10-17.
Other skills, from other repositories
github
GitHub via gh CLI: PRs, issues, reviews, repos, auth.
changelog
Update per-package CHANGELOG.md files for a Ratel release. Drafts entries with git-cliff (scoped per package), lets you curate, then writes the CHANGELOGs. Handles both RC entries and GA-graduation collapse (merging X.Y.Z-rc. sections into a single X.Y.Z section). Invoke before tagging a release.
ship
Enter the Ship phase of CocoBrew. Reads review.md approval, generates structured commit, creates semantic version tag, optionally creates PR via gh CLI, and records deployment details. Requires approved review.
lean-review
CocoLean diff-scoped over-engineering audit — scans uncommitted git diff and applies five classification tags (delete/stdlib/native/yagni/shrink) to identify unnecessary surface area before commit.
no-mistakes
Validate committed feature-branch changes through the no-mistakes pipeline: intent, rebase, review, test, docs, lint, push, PR, and CI. Use when the user asks to run no-mistakes, ship safely, validate before pushing, or gate a change before it reaches upstream.
jira-release
Assemble a release from a batch of Jira issues — one release branch, pull request, preview and tracking issue per repository — and, when a person says to ship it, merge it and move the cards on. Insert into the prompt of a run started on a batch of issues.