Borrowing it
Nothing to install: this file belongs to davidomil/cloudx. 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/davidomil/cloudx/main/.agents/skills/review-server/SKILL.mdgit clone --depth 1 https://github.com/davidomil/cloudxWrote 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/davidomil/cloudx/review-server)<a href="https://agentmods.dev/skills/davidomil/cloudx/review-server"><img src="https://agentmods.dev/badge/skills/davidomil/cloudx/review-server/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/davidomil/cloudx/review-server"><img src="https://agentmods.dev/badge/skills/davidomil/cloudx/review-server.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 | $0.00025 | $0.00179 |
| Opus 5.5 | $0.00010 | $0.00072 |
| Sonnet 5.5 | $0.00005 | $0.00036 |
| Haiku 4.5 | $0.00003 | $0.00018 |
Grade A, and why
review-server 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 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.
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
Review Server Changes
Read apps/server/AGENTS.md and trace the affected owner through its adapters,
callers, and production-path tests.
- Check runtime input validation, service error mapping, and shared contracts.
- Look for duplicated state authority or feature logic leaking into composition.
- Follow session, process, queue, timer, and socket lifecycles through failure, reconnect, cancellation, and shutdown.
- Exercise wrong or stale IDs and path-policy boundaries where behavior changed.
- Check public config, notifications, and errors for accidental secret exposure.
Report actionable regressions with locations, impact, and evidence, including
important coverage gaps. Machine output, when requested, follows
docs/AI_CHANGE_PROCESS.md.
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 · -17 lines 14a9f50c713b
- 1mo ago First seen · 38 lines · 25 tokens per session scan A 5430a8f467a1
review-server is a skill published in the GitHub repository davidomil/cloudx (1 stars, last pushed 9d ago), licensed MIT. It adds 25 tokens to every session and 179 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 2026-08-31.
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