Borrowing it
Nothing to install: this file belongs to wang-baohai/Omni-Stack. 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/wang-baohai/Omni-Stack/main/.agents/skills/omni-change/SKILL.mdgit clone --depth 1 https://github.com/wang-baohai/Omni-StackWrote 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/wang-baohai/omni-stack/omni-change)<a href="https://agentmods.dev/skills/wang-baohai/omni-stack/omni-change"><img src="https://agentmods.dev/badge/skills/wang-baohai/omni-stack/omni-change/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/wang-baohai/omni-stack/omni-change"><img src="https://agentmods.dev/badge/skills/wang-baohai/omni-stack/omni-change.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 | $0.00041 | $0.00389 |
| Opus 5.5 | $0.00016 | $0.00156 |
| Sonnet 5.5 | $0.00008 | $0.00078 |
| Haiku 4.5 | $0.00004 | $0.00039 |
Grade A, and why
omni-change 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 11d 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.
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
Find the repository root from AGENTS.md and scaffold/catalog/modules.yaml. Read root AGENTS.md, then the facts and domain rules relevant to the requested change. The current source, configuration, and tests define behavior; historical acceptance is only evidence for its recorded baseline.
Use the catalog to determine module membership and required dependencies. Respect service boundaries, immutable migrations, tenant isolation, explicit permissions, and API contracts. Consult the repository Wiki for operating instructions rather than copying its teaching material into fact documents.
Build, run tests, launch applications, and collect browser evidence in local Docker. Confirm the Docker endpoint and target project before writes. Fixture identities belong to test classpaths; real CAPTCHA login is human-entered. Keep secrets, raw logs, auth state, and database dumps outside Git.
For generation, inspect the dry-run and use the generator's apply/validation path. Test the generated project's own assets and references; do not rely on the original checkout or personal installation.
Review the final diff and run checks justified by the actual change. Distinguish build, unit, integration, E2E, screenshots, and human translation review. Report failures, skips, and missing evidence accurately. Automatic approval is not human translation sign-off.
Follow the current user's authorization. This skill adds no permission to publish, merge, send messages, reset data, rewrite history, or connect third-party accounts.
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.
- 11d ago First seen · 19 lines · 41 tokens per session scan A 8abdfe4adc30
omni-change is a skill published in the GitHub repository wang-baohai/Omni-Stack (90 stars, last pushed 11d ago), licensed Apache-2.0. It adds 41 tokens to every session and 389 once invoked, about $0.0002 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 2026-10-19.
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