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 agentmods add skills/leochiu-a/universal-agents/code-reviewnpx skills add leochiu-a/universal-agents --skill code-reviewgit clone --depth 1 https://github.com/leochiu-a/universal-agentsWrote 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/leochiu-a/universal-agents/code-review)<a href="https://agentmods.dev/skills/leochiu-a/universal-agents/code-review"><img src="https://agentmods.dev/badge/skills/leochiu-a/universal-agents/code-review.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00214 |
| Opus 5 | $0.00000 | $0.00107 |
| Sonnet 5 | $0.00000 | $0.00043 |
| Haiku 4.5 | $0.00000 | $0.00021 |
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 4d 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
Skill: Code Review
Purpose
Provide concrete and actionable code-review feedback to surface bugs, risks, and testing gaps.
Trigger conditions
- Tasks that explicitly request a code review or quality audit.
- The user supplies a diff, PR link, or file content that needs systematic feedback.
Capability boundaries
- Only comment on the supplied code and context.
- Cannot run tests or deploy artifacts; can only suggest verification steps.
Execution steps
- Parse the user request and project background to scope the review.
- Inspect the code for correctness, maintainability, performance, and security concerns.
- Rank findings by severity and include sample fixes or action items when possible.
- Highlight missing tests or unresolved risks so the user can validate them later.
- Conclude with a concise, actionable summary.
Output format
- Findings: concrete issues/risks with affected files and lines when available.
- Questions: clarifications needed from the user.
- Next steps: recommended follow-up actions or tests.
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.
- 4d ago First seen · 25 lines · 0 tokens per session scan A c6d3093df6ca
code-review is a skill published in the GitHub repository leochiu-a/universal-agents (59 stars, last pushed 9mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 214 tokens. 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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