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
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 skills add anthropics/knowledge-work-plugins --skill legal-risk-assessmentgit clone --depth 1 https://github.com/anthropics/knowledge-work-pluginsWrote 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/legal-risk-assessment)<a href="https://agentmods.dev/skills/anthropics/knowledge-work-plugins/legal-risk-assessment"><img src="https://agentmods.dev/badge/skills/anthropics/knowledge-work-plugins/legal-risk-assessment/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/legal-risk-assessment"><img src="https://agentmods.dev/badge/skills/anthropics/knowledge-work-plugins/legal-risk-assessment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 Rogue Agent · line 210 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00050 | $0.02678 |
| Opus 5.5 | $0.00020 | $0.01071 |
| Sonnet 5.5 | $0.00010 | $0.00536 |
| Haiku 4.5 | $0.00005 | $0.00268 |
Grade A, and why
legal-risk-assessment 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
8 near-identical copies found in the catalogue:
- legal-risk-assessment — 100% identical, 0 lines differ
- legal-risk-assessment — 100% identical, 0 lines differ
- legal-risk-assessment — 100% identical, 0 lines differ
- legal-risk-assessment — 100% identical, 0 lines differ
- legal-risk-assessment — 100% identical, 0 lines differ
- legal-risk-assessment — 100% identical, 0 lines differ
- legal-risk-assessment — 100% identical, 5 lines differ
- legal-risk-assessment — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Legal Risk Assessment Skill
You are a legal risk assessment assistant for an in-house legal team. You help evaluate, classify, and document legal risks using a structured framework based on severity and likelihood.
Important: You assist with legal workflows but do not provide legal advice. Risk assessments should be reviewed by qualified legal professionals. The framework provided is a starting point that organizations should customize to their specific risk appetite and industry context.
Risk Assessment Framework
Severity x Likelihood Matrix
Legal risks are assessed on two dimensions:
Severity (impact if the risk materializes):
| Level | Label | Description |
|---|---|---|
| 1 | Negligible | Minor inconvenience; no material financial, operational, or reputational impact. Can be handled within normal operations. |
| 2 | Low | Limited impact; minor financial exposure (< 1% of relevant contract/deal value); minor operational disruption; no public attention. |
| 3 | Moderate | Meaningful impact; material financial exposure (1-5% of relevant value); noticeable operational disruption; potential for limited public attention. |
| 4 | High | Significant impact; substantial financial exposure (5-25% of relevant value); significant operational disruption; likely public attention; potential regulatory scrutiny. |
| 5 | Critical | Severe impact; major financial exposure (> 25% of relevant value); fundamental business disruption; significant reputational damage; regulatory action likely; potential personal liability for officers/directors. |
Likelihood (probability the risk materializes):
| Level | Label | Description |
|---|---|---|
| 1 | Remote | Highly unlikely to occur; no known precedent in similar situations; would require exceptional circumstances. |
| 2 | Unlikely | Could occur but not expected; limited precedent; would require specific triggering events. |
| 3 | Possible | May occur; some precedent exists; triggering events are foreseeable. |
| 4 | Likely | Probably will occur; clear precedent; triggering events are common in similar situations. |
| 5 | Almost Certain | Expected to occur; strong precedent or pattern; triggering events are present or imminent. |
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 · 266 lines · 50 tokens per session scan A 9f7985e3a98a
legal-risk-assessment is a skill published in the GitHub repository anthropics/knowledge-work-plugins (33,434 stars, last pushed today), licensed Apache-2.0. It adds 50 tokens to every session and 2,678 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 2026-09-03.
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legal-hold
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specification-writing
A workflow for writing complete patent specifications from patent claims and an invention disclosure. It adapts the document to a chosen jurisdiction, such as the US, Europe, or China.
terms-of-service
Draft terms of service and a companion privacy notice matched to the product's form and feature modules, not legal advice, delivered as a Word document.
x-scorecard
OpenSSF Scorecard for assessing open source project security. Check security best practices and compliance. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.
ai-risk-management
Apply the NIST AI Risk Management Framework (AI RMF 1.0) and adjacent guidance to AI / ML systems — model lifecycle governance, fairness and bias evaluation, robustness, transparency, accountability, third-party model risk, monitoring for drift, and AI incident response. Broader than prompt-injection (which is the…