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.
Borrowing it
Nothing to install: this file belongs to omnigent-ai/omnigent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/omnigent-ai/omnigent/main/.claude/skills/polly-e2e-dev/SKILL.mdgit 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/polly-e2e-dev)<a href="https://agentmods.dev/skills/omnigent-ai/omnigent/polly-e2e-dev"><img src="https://agentmods.dev/badge/skills/omnigent-ai/omnigent/polly-e2e-dev/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/polly-e2e-dev"><img src="https://agentmods.dev/badge/skills/omnigent-ai/omnigent/polly-e2e-dev.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 | $0.00180 | $0.03148 |
| Opus 5.5 | $0.00072 | $0.01259 |
| Sonnet 5.5 | $0.00036 | $0.00630 |
| Haiku 4.5 | $0.00018 | $0.00315 |
Grade E, and why
polly-e2e-dev scanned grade E with 3 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
SID=$(curl -s "$SERVER/v1/sessions?kind=default&order=desc&limit=1&visibility=all" | python -c "import sys,json;print(json.load(sys.stdin)['data'][0]['id'])") Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
force-push / `rm -rf /`), `spawn_bounds` (cap dispatches per turn), Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
SID=$(curl -s "$SERVER/v1/sessions?kind=default&order=desc&limit=1&visibility=all" | python -c "import sys,json;print(json.load(sys.stdin)['data'][0]['id'])") How it starts
The opening of the file, as written. The whole thing — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.
polly orchestrator: end-to-end CUJ dev & testing
polly (examples/polly/) is a multi-agent coding orchestrator: a
claude-sdk "brain" that writes no code itself and delegates everything to three
coding sub-agents — claude_code (claude-native), codex (codex-native), and
pi (headless, multi-model). Its critical user journeys are orchestration
behaviors, not single-turn answers:
- roster preflight — first turn runs
command -v claude codex pi, routes only to workers whose CLI resolved. - investigate — read-only work fanned to
explore/searchsub-agents; synthesize from their reports. - fanout — independent tasks, each in its own git worktree + sub-agent, each opening its own PR.
- cross-review — an implementer's diff is verified by a different-vendor sub-agent (diff + contract only); blocking issues become fix-tasks.
- plan gate / inbox — pull the human in at the plan gate; supervise via the inbox + autowake, never busy-poll.
- guardrails (
omnigent.inner.nessie.policies) —blast_radius(deny force-push /rm -rf /),spawn_bounds(cap dispatches per turn),headless_subagent_purpose_guard(every dispatch needsargs.purpose).
This skill tests those CUJs two ways. Use both — they cover different things:
| Half | What it proves | Needs |
|---|---|---|
Mock loop (polly_cuj.py) |
The substrate/mechanics — the brain is scripted, so this proves bundle load, server-side policy resolution, bridged sys_* tool dispatch, the guardrail DENYs, and fan-out — deterministically, with no creds |
nothing (mock LLM) |
| Live recipe | polly's judgment — does the real brain preflight, decompose, delegate, cross-review, and pull in the human correctly | real claude/codex/pi + model creds + network |
Like the sibling harness skills, turns run from your current checkout (
omni run <bundle> --server <url>= local runner + remote server), so testing exercises exactly the code you're on.
What ships with it
1 file 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.
- 1mo ago Changed 369f440626f8
- 1mo ago Changed · -8 lines f71bc7bdcc4d
- 2mo ago First seen · 232 lines · 180 tokens per session scan E 2b077b2eb406
polly-e2e-dev is a skill published in the GitHub repository omnigent-ai/omnigent (11,100 stars, last pushed today), licensed Apache-2.0. It adds 180 tokens to every session and 3,148 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it E with 3 findings (downloads and executes remote code, recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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