Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add bendrucker/claude/plugin install reviewWrote 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/bendrucker/claude/inbox)<a href="https://agentmods.dev/skills/bendrucker/claude/inbox"><img src="https://agentmods.dev/badge/skills/bendrucker/claude/inbox/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/bendrucker/claude/inbox"><img src="https://agentmods.dev/badge/skills/bendrucker/claude/inbox.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 | $0.00059 | $0.01777 |
| Opus 5.5 | $0.00024 | $0.00711 |
| Sonnet 5.5 | $0.00012 | $0.00355 |
| Haiku 4.5 | $0.00006 | $0.00178 |
Grade A, and why
review:inbox 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 23d 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Inbox
Dispatch inbound PR/MR reviews as background sessions. Each review runs as its own claude --bg --agent review:review <url> session, collected in the claude agents view. You fetch the pending queue and dispatch. Monitoring, completion, and worktree isolation belong to the agent view and the harness, not to you.
Arguments
--queue: dispatch an already-triaged, ordered queue handed in by a caller, rather than fetching your own. Default: off, the interactive flow that fetches and presents the queue below.
Curated Queue
When --queue is set, another skill has already gathered, triaged, and ordered the reviews.
Skip Fetch Pending Reviews and Present Results. Take the queue from the invoking context as given and dispatch each review in the order received. Everything from Dispatch Review Sessions onward is unchanged.
Fetch Pending Reviews
Both fetches return the UNREVIEWED bucket: PRs/MRs awaiting your first review. Approving, requesting changes, or starting a review drops an item. A re-request re-adds it.
GitHub
gh search prs --review-requested=@me --state=open --json number,title,url,repository
GitLab
Load gitlab:merge-request and run its review-queue command for the UNREVIEWED MRs across all projects. It emits [{ url, reference, title }] as JSON. The query and its review-state filter are documented and owned by the gitlab plugin; the inbox only delegates to it.
Present Results
Combine results from both platforms into a summary table. Ask which reviews to start.
Dispatch Review Sessions
For each selected review:
Resolve the Local Repo Path
The review:review agent checks out the PR branch with gh pr checkout, so the session runs inside a local clone of the PR's repo. Ask where the repo is cloned. If it is not cloned, clone it first. The path is required to dispatch.
Dispatch
bun ${CLAUDE_SKILL_DIR}/scripts/spawn.ts <pr-url> --repo-path <local-path> --data-dir ${CLAUDE_PLUGIN_DATA}
What ships with it
9 files 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.
- scripts/args.test.ts 1.7 KB runs code
- scripts/args.ts 1.9 KB runs code
- scripts/dispatched.ts 2.1 KB runs code
- scripts/poll.test.ts 1.5 KB runs code
- scripts/poll.ts 2.6 KB runs code
- scripts/spawn.ts 3.0 KB runs code
- scripts/store.test.ts 5.9 KB runs code
- scripts/store.ts 2.8 KB runs code
- scripts/watch.ts 1.7 KB runs code
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.
- 23d ago Changed 10aad1a86c57
- 2mo ago Changed · +124 lines · +45 tokens per session 5c65996f52f2
- 2mo ago First seen · 9 lines · 14 tokens per session scan A e0004f16ffce
review:inbox is a skill published in the GitHub repository bendrucker/claude (18 stars, last pushed today), licensed MIT. It adds 59 tokens to every session and 1,777 once invoked, about $0.0002 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.
review:inbox compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| review:inboxbendrucker/claude | Skill | 18 | today | MIT | A | 59 | Claude Code |
| reviewSethGammon/Citadel | Skill | 928 | 4d ago | MIT | A | 17 | Claude Code |
| critical-code-reviewerposit-dev/skills | Skill | 561 | 7d ago | MIT | A | 67 | Claude Code |
| brooks-sweephyhmrright/brooks-lint | Skill | 1.6k | today | MIT | A | 178 | Claude Code |
| pr-reviewnitinjain999/platform-skills | Skill | 71 | yesterday | Apache-2.0 | A | 81 | Claude Code |
| skill-distilleriliaal/whetstone | Skill | 36 | today | MIT | A | 91 | Claude Code |
| review-depthjszmajda/lid | Skill | 118 | today | MIT | A | 93 | Claude Code |