Knowledge Work Plugins is an open-source collection of Claude extensions organized around roles such as productivity, sales, and customer support. Each plugin combines role-specific guidance, connectors, commands, and sub-agents so knowledge workers can use Claude with their team’s tools and processes. The catalogue entries are examples of, or workflows from, this plugin collection.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/anthropics/knowledge-work-pluginsnpx agentmods add skills/anthropics/knowledge-work-plugins/code-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/anthropics/knowledge-work-plugins/code-review)<a href="https://agentmods.dev/skills/anthropics/knowledge-work-plugins/code-review"><img src="https://agentmods.dev/badge/skills/anthropics/knowledge-work-plugins/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/anthropics/knowledge-work-plugins/code-review"><img src="https://agentmods.dev/badge/skills/anthropics/knowledge-work-plugins/code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 59 Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
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 | $0.00058 | $0.00827 |
| Opus 5.5 | $0.00023 | $0.00331 |
| Sonnet 5.5 | $0.00012 | $0.00165 |
| Haiku 4.5 | $0.00006 | $0.00083 |
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.
Copies of this mod
6 near-identical copies found in the catalogue:
- code-review — 100% identical, 0 lines differ
- code-review — 100% identical, 0 lines differ
- code-review — 100% identical, 0 lines differ
- code-review-th — 97% identical, 6 lines differ
- code-review — 95% identical, 9 lines differ
- code-review — 92% identical, 7 lines differ
How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/code-review
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Review code changes with a structured lens on security, performance, correctness, and maintainability.
Usage
/code-review <PR URL or file path>
Review the provided code changes: @$1
If no specific file or URL is provided, ask what to review.
How It Works
┌─────────────────────────────────────────────────────────────────┐
│ CODE REVIEW │
├─────────────────────────────────────────────────────────────────┤
│ STANDALONE (always works) │
│ ✓ Paste a diff, PR URL, or point to files │
│ ✓ Security audit (OWASP top 10, injection, auth) │
│ ✓ Performance review (N+1, memory leaks, complexity) │
│ ✓ Correctness (edge cases, error handling, race conditions) │
│ ✓ Style (naming, structure, readability) │
│ ✓ Actionable suggestions with code examples │
├─────────────────────────────────────────────────────────────────┤
│ SUPERCHARGED (when you connect your tools) │
│ + Source control: Pull PR diff automatically │
│ + Project tracker: Link findings to tickets │
│ + Knowledge base: Check against team coding standards │
└─────────────────────────────────────────────────────────────────┘
Review Dimensions
Security
- SQL injection, XSS, CSRF
- Authentication and authorization flaws
- Secrets or credentials in code
- Insecure deserialization
- Path traversal
- SSRF
Performance
- N+1 queries
- Unnecessary memory allocations
- Algorithmic complexity (O(n²) in hot paths)
- Missing database indexes
- Unbounded queries or loops
- Resource leaks
Correctness
- Edge cases (empty input, null, overflow)
- Race conditions and concurrency issues
- Error handling and propagation
- Off-by-one errors
- Type safety
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 · 119 lines · 58 tokens per session scan A 6303932f1b30
code-review is a skill published in the GitHub repository anthropics/knowledge-work-plugins (30,004 stars, last pushed today), licensed Apache-2.0. It adds 58 tokens to every session and 827 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.
Other skills, from other repositories
autoreview
Structured code review through the shared OpenClaw agent-skills installation.
omh-code-review
This is an OMH code-review workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).
revdiff-plan
Review the last Codex assistant message (plan, analysis, or proposal) with inline annotations in a TUI overlay. Extracts the most recent response from Codex rollout files and opens it in revdiff for review and annotation. Activates on "revdiff-plan", "review plan with revdiff", "annotate plan", "review last response"…
asplos-writing-style
Use when drafting or revising ASPLOS prose — engineering the first two pages that rapid review actually reads, stating the cross-layer insight as one quotable sentence, structuring per-layer mechanism sections, writing bounded claims, and fitting everything into 11 self-contained pages that include figures and…
explore-unknowns
Guide the user through a quadrant walk that maps the unknowns of a task — open by listing the known knowns, then work through known unknowns, unknown knowns, and unknown unknowns one stage at a time, ending with a complete four-quadrant map in the user's hands. Use when a request is ambiguous or underspecified, the…
re0-merge
Review and land an external contribution the way this suite does: gate it against the thesis, land it with the author's credit intact, complete a new skill rather than merging it raw, then approve, credit, and explain before closing. Use when reviewing a pull request, as any collaborator or maintainer, not only the…