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/runbookWrote 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/runbook)<a href="https://agentmods.dev/skills/anthropics/knowledge-work-plugins/runbook"><img src="https://agentmods.dev/badge/skills/anthropics/knowledge-work-plugins/runbook/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/runbook"><img src="https://agentmods.dev/badge/skills/anthropics/knowledge-work-plugins/runbook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00063 | $0.00629 |
| Opus 5.5 | $0.00025 | $0.00252 |
| Sonnet 5.5 | $0.00013 | $0.00126 |
| Haiku 4.5 | $0.00006 | $0.00063 |
Grade A, and why
runbook 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.
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/runbook
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Create a step-by-step operational runbook for a recurring task or procedure.
Usage
/runbook $ARGUMENTS
Output
## Runbook: [Task Name]
**Owner:** [Team/Person] | **Frequency:** [Daily/Weekly/Monthly/As Needed]
**Last Updated:** [Date] | **Last Run:** [Date]
### Purpose
[What this runbook accomplishes and when to use it]
### Prerequisites
- [ ] [Access or permission needed]
- [ ] [Tool or system required]
- [ ] [Data or input needed]
### Procedure
#### Step 1: [Name]
[Exact command, action, or instruction]
**Expected result:** [What should happen]
**If it fails:** [What to do]
#### Step 2: [Name]
[Exact command, action, or instruction]
**Expected result:** [What should happen]
**If it fails:** [What to do]
### Verification
- [ ] [How to confirm the task completed successfully]
- [ ] [What to check]
### Troubleshooting
| Symptom | Likely Cause | Fix |
|---------|-------------|-----|
| [What you see] | [Why] | [What to do] |
### Rollback
[How to undo this if something goes wrong]
### Escalation
| Situation | Contact | Method |
|-----------|---------|--------|
| [When to escalate] | [Who] | [How to reach them] |
### History
| Date | Run By | Notes |
|------|--------|-------|
| [Date] | [Person] | [Any issues or observations] |
If Connectors Available
If ~~knowledge base is connected:
- Search for existing runbooks to update rather than create from scratch
- Publish the completed runbook to your ops wiki
If ~~ITSM is connected:
- Link the runbook to related incident types and change requests
- Auto-populate escalation contacts from on-call schedules
Tips
- Be painfully specific — "Run the script" is not a step. "Run
python sync.py --prod --dry-runfrom the ops server" is. - Include failure modes — What can go wrong at each step and what to do about it.
- Test the runbook — Have someone unfamiliar with the process follow it. Fix where they get stuck.
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 · 88 lines · 63 tokens per session scan A c5c3eaa4c22f
runbook is a skill published in the GitHub repository anthropics/knowledge-work-plugins (30,501 stars, last pushed yesterday), licensed Apache-2.0. It adds 63 tokens to every session and 629 once invoked, about $0.0003 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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