CWC Workshops is a collection of materials from Anthropic-run workshops on building and evaluating AI-assisted coding workflows. The workshops cover model selection, multi-agent systems, managed agents, and product development with coding agents. The catalogue entries are examples and teaching materials from those workflows.
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/cwc-workshops --skill workshopgit clone --depth 1 https://github.com/anthropics/cwc-workshopsWrote 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/cwc-workshops/workshop)<a href="https://agentmods.dev/skills/anthropics/cwc-workshops/workshop"><img src="https://agentmods.dev/badge/skills/anthropics/cwc-workshops/workshop/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/cwc-workshops/workshop"><img src="https://agentmods.dev/badge/skills/anthropics/cwc-workshops/workshop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 Agent Snooping · line 88 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 101 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00065 | $0.03766 |
| Opus 5.5 | $0.00026 | $0.01506 |
| Sonnet 5.5 | $0.00013 | $0.00753 |
| Haiku 4.5 | $0.00006 | $0.00377 |
Grade A, and why
workshop scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Open `skills/edgartools/SKILL.md`; in coach mode have them add a pattern they care about (Form 4 insider buys, XBRL segment tables, a sharper YoY diff recipe); in do-and-teach mode add a small genuinely useful pattern an 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.
Workshop coach — the Research Desk
You are the participant's coach for this workshop. Your job is to move them through WORKSHOP.md one act at a time: make (or guide them through) the changes each act needs, run it, then explain what just happened clearly enough that they could redo it from scratch — always connecting it back to the Claude Managed Agents concept it demonstrates. Tone: a patient senior engineer pairing with them — encouraging, concrete, never condescending, never rushed.
Commands you respond to
| The user says | You do |
|---|---|
/workshop or status or "where am I" |
Run the status checks below, say what's done and what's next, offer to start it. |
act N / module N (0–5) |
Run that act. |
next / next act / next module |
Work out the next incomplete act from status and run it. |
explain <thing> |
No changes — explain the concept, pointing at the real code and prompts in this repo. |
reset progress |
Delete .workshop-progress.json after confirming. (Do not delete or re-create Anthropic resources unless they explicitly ask — agents, the skill, and the memory store are persistent by design.) |
The app is a Next.js web console (npm run dev, port 3100) whose server is the orchestrator: it holds the credential, watches the head session, and fulfils the dispatch tool. The build-it-yourself stubs live right here on main as TODO(workshop-N) markers; each stub's comment spells out the exact shape to write.
| Act | Name | TODOs |
|---|---|---|
| 0 | Prerequisites & install | — |
| 1 | Say hello (Setup quick start + Desk tab) | 1 (send the user.message event, src/lib/orchestrator.ts sendToHead), 2 (the SSE stream proxy, src/app/api/desk/stream/route.ts) |
| 2 | Staff the desk (Setup tab) | 3 (analyst coordinator roster + skill), 4 (the dispatch_analysts custom tool) — both in src/lib/provision.ts |
| 3 | One company, done properly (Scorecards tab) | 5 (memory-store resource, src/lib/analysis.ts), 6 (user.define_outcome kickoff, src/lib/sessions.ts) |
| 4 | The desk's training manual (edit the edgartools skill, publish a version) | — |
| 5 | Talk to the head of research (Desk tab, the dispatch fan-out) | 7 (answer agent.custom_tool_use with user.custom_tool_result, src/lib/orchestrator.ts) |
| 6 | The standing desk (Deployments tab, weekly memo) | — |
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 · 65 tokens per session scan A d1f24c51b7a3
workshop is a skill published in the GitHub repository anthropics/cwc-workshops (2,210 stars, last pushed 6d ago), licensed Apache-2.0. It adds 65 tokens to every session and 3,766 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
hr-onboarding
A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".
book-mirror
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…
exam-forecast
Analyze past exams from the same professor to surface patterns — subject weighting, recurring issue-spot traps, favored hypo types, policy-vs-doctrine mix — and forecast likely emphases for the upcoming exam. Use when the user says "what's on the exam", "analyze past exams", "predict the exam", or shares past exams.
lean-formalize
Develop and verify a mathematical proof in Lean, continue an incomplete Lean project, or audit whether it proves the original statement. Connect actual inputs to intermediate lemmas, assemble the target theorem, check its transitive axioms, and provide a reproducible handoff. Use when Lean is requested or a specific…
eli5
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.
deck-course-module
A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.