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/architectureWrote 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/architecture)<a href="https://agentmods.dev/skills/anthropics/knowledge-work-plugins/architecture"><img src="https://agentmods.dev/badge/skills/anthropics/knowledge-work-plugins/architecture/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/architecture"><img src="https://agentmods.dev/badge/skills/anthropics/knowledge-work-plugins/architecture.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 | $0.00052 | $0.00553 |
| Opus 5.5 | $0.00021 | $0.00221 |
| Sonnet 5.5 | $0.00010 | $0.00111 |
| Haiku 4.5 | $0.00005 | $0.00055 |
Grade A, and why
architecture 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:
- architecture — 100% identical, 0 lines differ
- architecture — 100% identical, 0 lines differ
- architecture — 100% identical, 0 lines differ
- architecture — 92% identical, 9 lines differ
- architecture-th — 89% identical, 4 lines differ
- architecture — 86% identical, 7 lines differ
How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/architecture
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Create an Architecture Decision Record (ADR) or evaluate a system design.
Usage
/architecture $ARGUMENTS
Modes
Create an ADR: "Should we use Kafka or SQS for our event bus?" Evaluate a design: "Review this microservices proposal" System design: "Design the notification system for our app"
See the system-design skill for detailed frameworks on requirements gathering, scalability analysis, and trade-off evaluation.
Output — ADR Format
# ADR-[number]: [Title]
**Status:** Proposed | Accepted | Deprecated | Superseded
**Date:** [Date]
**Deciders:** [Who needs to sign off]
## Context
[What is the situation? What forces are at play?]
## Decision
[What is the change we're proposing?]
## Options Considered
### Option A: [Name]
| Dimension | Assessment |
|-----------|------------|
| Complexity | [Low/Med/High] |
| Cost | [Assessment] |
| Scalability | [Assessment] |
| Team familiarity | [Assessment] |
**Pros:** [List]
**Cons:** [List]
### Option B: [Name]
[Same format]
## Trade-off Analysis
[Key trade-offs between options with clear reasoning]
## Consequences
- [What becomes easier]
- [What becomes harder]
- [What we'll need to revisit]
## Action Items
1. [ ] [Implementation step]
2. [ ] [Follow-up]
If Connectors Available
If ~~knowledge base is connected:
- Search for prior ADRs and design docs
- Find relevant technical context
If ~~project tracker is connected:
- Link to related epics and tickets
- Create implementation tasks
Tips
- State constraints upfront — "We need to ship in 2 weeks" or "Must handle 10K rps" shapes the answer.
- Name your options — Even if you're leaning one way, I'll give a more balanced analysis with explicit alternatives.
- Include non-functional requirements — Latency, cost, team expertise, and maintenance burden matter as much as features.
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 · 86 lines · 52 tokens per session scan A de7db3170a3a
architecture is a skill published in the GitHub repository anthropics/knowledge-work-plugins (30,179 stars, last pushed yesterday), licensed Apache-2.0. It adds 52 tokens to every session and 553 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.
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