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-automation/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-automation)<a href="https://agentmods.dev/skills/davidomil/cloudx/review-automation"><img src="https://agentmods.dev/badge/skills/davidomil/cloudx/review-automation/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-automation"><img src="https://agentmods.dev/badge/skills/davidomil/cloudx/review-automation.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 | $0.00024 | $0.00185 |
| Opus 5.5 | $0.00010 | $0.00074 |
| Sonnet 5.5 | $0.00005 | $0.00037 |
| Haiku 4.5 | $0.00002 | $0.00018 |
Grade A, and why
review-automation 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 Automation
Trace the change through the relevant owners in apps/server/src/automation/
and their callers rather than reviewing graph helpers in isolation.
- Compile-time validation and runtime execution should use the same safety vocabulary, types, and hook/trigger contracts.
- Check explicit cwd/environment, path containment, output and duration bounds, concurrency, cancellation, and owned process-tree cleanup.
- Inspect persisted transitions, stable run/event identities, trigger checkpoint and outbox handling, and recovery after interrupted work.
- Treat Python and Bash nodes as host execution, with negative tests for the affected trust boundary.
Report reachable bugs or risks with evidence and relevant 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 · -16 lines · -3 tokens per session cbcbd55d335d
- 1mo ago First seen · 38 lines · 27 tokens per session scan A d129e5804377
review-automation is a skill published in the GitHub repository davidomil/cloudx (1 stars, last pushed 9d ago), licensed MIT. It adds 24 tokens to every session and 185 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.
Other skills, from other repositories
autofix-pr
Watch a pull request and fix it from a worktree of its own - CI failures, review feedback from trusted authors and merge conflicts are fixed, pushed to the PR branch and answered on the PR under the user's git and gh identity. Usage - /autofix-pr [ | ] [--once] [--every ] [--no-reply] [--yes] [instructions]…
simplify
Review recent code changes for reuse, code quality, and efficiency, then directly apply straightforward cleanup improvements. Use when the user wants a post-implementation cleanup pass, pre-PR polish, or asks to simplify/refine recent changes. Invoke with /simplify or /simplify .
triage
Gatekeep and review GitHub issues and pull requests for Qwen Code maintainers. Use for GitHub Action issue triage, PR admission checks, product-direction review, KISS-focused PR review, and staged bilingual GitHub comments.
autofix
Review and repair current local changes until they converge, or run Qwen Code Autofix issue and review workflows from GitHub Actions.
find-simplifications
Use for a periodic repo-wide sweep of qwen-code for accumulated excess surface — dead components and files, orphaned locale keys, exports nothing consumes, added-then-removed scaffolding — filing candidates on a tracking issue and landing only what a maintainer has said yes to. Repo-wide and evidence-first; every…
refactoring-csharp
Rename and refactor C# symbols in a .NET solution or multi-solution monorepo with a one-shot Roslyn CLI. Use when the user asks to rename a symbol, preview impact, update references across a solution, or refactor shared projects across several solutions.