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 process-optimizationgit 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/process-optimization)<a href="https://agentmods.dev/skills/anthropics/knowledge-work-plugins/process-optimization"><img src="https://agentmods.dev/badge/skills/anthropics/knowledge-work-plugins/process-optimization/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/process-optimization"><img src="https://agentmods.dev/badge/skills/anthropics/knowledge-work-plugins/process-optimization.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 | $0.00053 | $0.00285 |
| Opus 5.5 | $0.00021 | $0.00114 |
| Sonnet 5.5 | $0.00011 | $0.00057 |
| Haiku 4.5 | $0.00005 | $0.00028 |
Grade A, and why
process-optimization 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
4 near-identical copies found in the catalogue:
- process-optimization — 100% identical, 0 lines differ
- process-optimization — 100% identical, 0 lines differ
- process-optimization — 100% identical, 5 lines differ
- process-optimization — 100% identical, 0 lines differ
What it actually says
Process Optimization
Analyze existing processes and recommend improvements.
Analysis Framework
1. Map Current State
- Document every step, decision point, and handoff
- Identify who does what and how long each step takes
- Note manual steps, approvals, and waiting times
2. Identify Waste
- Waiting: Time spent in queues or waiting for approvals
- Rework: Steps that fail and need to be redone
- Handoffs: Each handoff is a potential point of failure or delay
- Over-processing: Steps that add no value
- Manual work: Tasks that could be automated
3. Design Future State
- Eliminate unnecessary steps
- Automate where possible
- Reduce handoffs
- Parallelize independent steps
- Add checkpoints (not gates)
4. Measure Impact
- Time saved per cycle
- Error rate reduction
- Cost savings
- Employee satisfaction improvement
Output
Produce a before/after process comparison with specific improvement recommendations, estimated impact, and an implementation plan.
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 · 40 lines · 53 tokens per session scan A 14099838fdbf
process-optimization is a skill published in the GitHub repository anthropics/knowledge-work-plugins (30,501 stars, last pushed yesterday), licensed Apache-2.0. It adds 53 tokens to every session and 285 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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