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/cursor-sdk-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/cursor-sdk-e2e-dev)<a href="https://agentmods.dev/skills/omnigent-ai/omnigent/cursor-sdk-e2e-dev"><img src="https://agentmods.dev/badge/skills/omnigent-ai/omnigent/cursor-sdk-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/cursor-sdk-e2e-dev"><img src="https://agentmods.dev/badge/skills/omnigent-ai/omnigent/cursor-sdk-e2e-dev.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 161 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- high Tool Misuse · line 174 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- high Tool Misuse · line 174 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
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 | $0.00083 | $0.02350 |
| Opus 5.5 | $0.00033 | $0.00940 |
| Sonnet 5.5 | $0.00017 | $0.00470 |
| Haiku 4.5 | $0.00008 | $0.00235 |
Grade C, and why
cursor-sdk-e2e-dev scanned grade C with 1 finding 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 21d 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf /tmp/cursor-dev # remove scratch bundles How it starts
The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cursor SDK harness: end-to-end dev & testing
The cursor harness drives the Cursor Python SDK (cursor_sdk, an
AsyncAgent over a local bridge) and bridges Omnigent's sys_* tools into
Cursor as SDK custom_tools. This skill is the proven recipe for running it
for real against a live local server — not just the unit tests.
The harness runs as a local runner from your current checkout, so
omni run <bundle> --server <url>exercises exactly the code you're on.
Prerequisites (check these first)
- You're on the branch you want to test. The cursor harness merged to
main(#203/#204). Test onmainunless validating a specific branch. - A Cursor API key is configured. The SDK requires an API key
(
crsr_…); there is nocursor-agent loginpath. Verify (booleans only — never print the key):
If both are.venv/bin/python -c "from omnigent.onboarding.cursor_auth import cursor_api_key_configured; import os; print('config:', cursor_api_key_configured(), 'env:', bool(os.environ.get('CURSOR_API_KEY')))"False, runomni setupand register a Cursor key, orexport CURSOR_API_KEY=crsr_…. cursor-sdkis installed (a baseline dependency):.venv/bin/python -c "import cursor_sdk; print(cursor_sdk.__file__)".- Network egress to Cursor's backend. The bridge subprocess talks to Cursor's own API; a turn that hangs or fails to connect on a locked-down host is usually an egress problem, not a harness bug.
Step 1 — start a local server
cd /path/to/omnigent
.venv/bin/omni server --background # spawns a detached server on a free loopback port
.venv/bin/omni server status # prints the URL, e.g. http://127.0.0.1:6767
Use the printed URL below as $SERVER. (You can also run a foreground
server on a fixed port with omnigent server --port 7777 --no-open.)
Step 2 — build a cursor agent bundle
A spec with spec_version must be a directory containing config.yaml —
not a single .yaml file. Minimal cursor agent:
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.
- 21d ago Changed c83d5cfc8456
- 2mo ago First seen · 177 lines · 83 tokens per session scan C 39ae0c2932a8
cursor-sdk-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 83 tokens to every session and 2,350 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
reproduce-bug
Reproduce a reported bug in googleapis/mcp-toolbox and decide whether it is real, delivering an evidence-backed verdict: confirmed, already fixed, misconfiguration, client-side, works as intended, not reproducible, or blocked. Use whenever a maintainer asks you to reproduce, verify, confirm, or investigate a bug…
credit-note-fixer
Fix the tiny credit-note formatting bug and rerun the exact targeted test command.
playwright-cli
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
emulate-seed
Generate emulate seed configs for stateful API emulation. Wraps Vercel's emulate tool for GitHub, Vercel, Google OAuth, Slack, Apple Auth, Microsoft Entra, AWS, Okta, Clerk, Resend, Stripe, and MongoDB Atlas APIs — full state machines, not mocks. Use when setting up test environments, CI pipelines, integration tests…
error-analysis
Evals-first error analysis for LLM apps: clusters real Langfuse or JSONL traces into a human-confirmed failure taxonomy with counts, then recommends binary pass/fail evals for recurring named modes. Use to learn what to measure before writing evals. Not for CI failures.
testing-e2e
End-to-end testing patterns with Playwright — page objects, AI agent testing, visual regression, accessibility testing with axe-core, and CI integration. Use when writing E2E tests, setting up Playwright, implementing visual regression, or testing accessibility.