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/open-octo/octo-agent/code-reviewnpx skills add open-octo/octo-agent --skill code-reviewgit clone --depth 1 https://github.com/open-octo/octo-agentWrote 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/open-octo/octo-agent/code-review)<a href="https://agentmods.dev/skills/open-octo/octo-agent/code-review"><img src="https://agentmods.dev/badge/skills/open-octo/octo-agent/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 5.1 | $0.00067 | $0.00657 |
| Opus 5 | $0.00034 | $0.00329 |
| Sonnet 5 | $0.00013 | $0.00131 |
| Haiku 4.5 | $0.00007 | $0.00066 |
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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review local code changes by dispatching an isolated sub-agent — a fresh agent with no knowledge of the current session's implementation decisions. This eliminates the bias of reviewing your own work.
Process
1. Gather context for the sub-agent
Collect everything the reviewer needs:
# What changed
git log --oneline main..HEAD
git diff main...HEAD
git diff
git diff --cached
Also identify:
- Tech design doc path (if one exists in conversation context or commit messages)
- Which services/modules are touched
- Test files added or modified
2. Dispatch the sub-agent
Call the sub_agent tool with subagent_type: "code-review" — a read-only reviewer that starts with zero context. Pass it the diff range, file list, and tech design reference in the prompt — but NOT your implementation reasoning or conversation history.
If you need to review multiple independent changes (e.g., several PRs), dispatch each sub-agent with run_in_background: true so they run in parallel. Wait for the completion notifications and use the results from those notifications. Do not poll sub_agent_status while waiting; use sub_agent_status only if you suspect an agent is stuck or need to list running agents. For a single short review, a synchronous sub_agent call is fine.
The sub-agent prompt should follow the template in code-reviewer.md.
Fill in:
{DESCRIPTION}— brief summary of what these changes do{TECH_DESIGN_PATH}— path to tech design doc (or "none"){BASE_SHA}/{HEAD_SHA}— git range{DIFF_STAT}— output ofgit diff --stat
If the sub_agent tool is not available in this session, perform the review yourself following the same template — and say explicitly in the report that the review was not isolated.
3. Act on the review
When the sub-agent returns its findings:
Receiving feedback — rules:
- Verify before implementing. Don't blindly agree.
- If any item is unclear, clarify ALL unclear items before fixing any.
- Implementation order: Critical → Important → Minor, test each fix individually.
- Push back with technical reasoning if the reviewer is wrong (missing context, doesn't apply to this codebase, YAGNI).
- No performative agreement ("Great point!", "You're absolutely right!"). Just fix and show the result.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 62 lines · 67 tokens per session scan A 63410f747e26
code-review is a skill published in the GitHub repository open-octo/octo-agent (96 stars, last pushed yesterday), licensed MIT. It adds 67 tokens to every session and 657 once invoked, about $0.0003 per session on Opus 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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