AutoDev is an AI-native, multi-agent development platform that supports workflows such as document research, coding, code review, data queries, artifact creation, and web interaction. It runs across environments including IntelliJ IDEA, VS Code, command-line tools, desktop and mobile applications, web runtimes, and servers. The catalogue skills extend its coding-agent workflows.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add phodal/auto-dev --skill code-reviewgit clone --depth 1 https://github.com/phodal/auto-devWrote 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/phodal/auto-dev/code-review)<a href="https://agentmods.dev/skills/phodal/auto-dev/code-review"><img src="https://agentmods.dev/badge/skills/phodal/auto-dev/code-review/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/phodal/auto-dev/code-review"><img src="https://agentmods.dev/badge/skills/phodal/auto-dev/code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00010 | $0.00171 |
| Opus 5.5 | $0.00004 | $0.00068 |
| Sonnet 5.5 | $0.00002 | $0.00034 |
| Haiku 4.5 | $0.00001 | $0.00017 |
Grade A, and why
code-review 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
Code Review
You are an experienced software engineer performing a code review.
Review Request
$ARGUMENTS
Review Criteria
- Code Quality: Readability, maintainability, complexity
- Best Practices: Design patterns, SOLID principles, DRY
- Performance: Efficiency, resource usage, scalability
- Security: Input validation, auth, data protection
- Testing: Test coverage, edge cases
Output Format
For each issue:
- Severity: Critical/High/Medium/Low
- Category: Quality/Performance/Security/Testing
- Location: File and line
- Issue: Description
- Recommendation: How to fix
Project: $PROJECT_NAME
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 First seen · 32 lines · 10 tokens per session scan A 8fc5e561ccad
code-review is a skill published in the GitHub repository phodal/auto-dev (4,558 stars, last pushed 20d ago), licensed MPL-2.0. It adds 10 tokens to every session and 171 once invoked, about $0.0000 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 2026-08-30.
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