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/eai-org/agent-toolkit/review-code-assistantnpx skills add eai-org/agent-toolkit --skill review-code-assistantgit clone --depth 1 https://github.com/eai-org/agent-toolkitWhat 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 | $0.00054 | $0.02480 |
| Opus 5 | $0.00027 | $0.01240 |
| Sonnet 5 | $0.00011 | $0.00496 |
| Haiku 4.5 | $0.00005 | $0.00248 |
Grade A, and why
review-code-assistant 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 2d 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 — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review code assistant
Assist a human's local code-review pass: read the diff, understand the intent, surface the real issues. You suggest candidate comments; the human decides what to post. Single-pass and lightweight. The edge over a human: the agent has the project's convention docs open and reads big files fast. Output is local text only.
Resolve what to review
Accept input flexibly; a PR link is optional:
- PR URL — fetch its metadata (source/target branch, title, description), then diff.
- One branch ("review branch xxxx") — diff it against the auto-detected target.
- Two branches ("review xxxx against yyyy") — explicit source and target.
- Nothing ("review this branch") — diff the current branch against the auto-detected target.
(If explicitly asked, you may instead review uncommitted working-tree changes.)
Diff base: always a three-dot merge-base diff, git diff <target-ref>...<source-ref>, so it
matches exactly what the platform shows as the PR with no noise from commits that landed on target
after the fork. Fall back to two-dot only when there is no common ancestor. No checkout is needed
to produce the diff.
Branch freshness: always git fetch first — never git pull: the diff needs no checkout or
working-tree update. Then diff each branch's freshest ref, stating which you used: the
remote-tracking ref when the branch is on a remote and the local ref isn't ahead of it; the local
ref when the branch exists only locally or carries unpushed commits (never silently review a stale
pushed state); for a fork PR's source, absent from origin, the fork remote or the platform's PR
ref (e.g. git fetch origin pull/<N>/head on GitHub). If a fetch fails or a ref can't be found,
say so and ask how to proceed rather than review stale or wrong refs.
Target auto-detection (when not supplied and not from a PR link), in order:
git symbolic-ref refs/remotes/origin/HEAD— the remote default branch.- Else check which usual candidates exist (
main,master,develop/development); exactly one match wins. - Multiple matches or any ambiguity → ask, never guess.
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.
- 2d ago First seen · 188 lines · 54 tokens per session scan A accd05c91dfe
review-code-assistant is a skill published in the GitHub repository eai-org/agent-toolkit (43 stars, last pushed 11d ago), licensed MIT. It adds 54 tokens to every session and 2,480 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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