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 agentmods add skills/o0000-code/cc-workshop/cc-workshop-implementnpx skills add O0000-code/CC-Workshop --skill cc-workshop-implementgit clone --depth 1 https://github.com/O0000-code/CC-WorkshopWhat 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 | $0.00072 | $0.01994 |
| Opus 5 | $0.00036 | $0.00997 |
| Sonnet 5 | $0.00014 | $0.00399 |
| Haiku 4.5 | $0.00007 | $0.00199 |
Grade B, and why
ensemble-implement scanned grade B 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 yesterday.
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.
Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
- [ ] Clippy passes without warnings How it starts
The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CC Workshop Issue Implementation
Overview
Autonomously discover, claim, implement, and deliver a single agent-ready Issue from the CC Workshop Linear project. This skill covers the full cycle: query Linear for work, write code via TDD across React frontend and Rust backend, verify all checks, and submit a Pull Request.
Project Context
- Frontend: React 18 + TypeScript 5.9 + Tailwind CSS 4 + Zustand 5
- Backend: Tauri 2.9 + Rust (edition 2021)
- Testing: Vitest + @testing-library/react (frontend), cargo test (backend)
- Repo: https://github.com/O0000-code/CC-Workshop.git
Read AGENTS.md for the full project conventions before starting.
Workflow
1) Discover Agent-Ready Issues
CRITICAL RULES:
- You MUST actually call the MCP tools. Do NOT fabricate or hallucinate tool call results.
- If an MCP tool call fails, report the failure honestly. Do NOT pretend it succeeded.
- Use
list_teamsto find your team ID dynamically. NEVER hardcode team IDs. - Use
list_projectsto find the "CC Workshop" project. NEVER hardcode project IDs. - Use
list_issue_labelsto find label IDs dynamically. NEVER hardcode label IDs.
Query Linear for issues ready for agent implementation:
- Use
list_teamsto get the team ID. - Use
list_projectsto find the "CC Workshop" project ID. - Use
list_issue_labelsto find the IDs for labels:agent-readyandCC Workshop. - Use
list_issueswith filters to find issues that have theagent-readylabel AND belong to the CC Workshop project. - Sort results by priority (1=Urgent is highest, 4=Low is lowest).
- Select the single highest-priority issue.
If no agent-ready issues are found: report "No pending agent-ready issues in CC Workshop" and exit immediately. Do NOT proceed further.
2) Read the Issue
- Use
get_issueto fetch the full Issue details of the selected issue. - Read the Description and all comments carefully.
- Use
list_commentsto read all existing comments on the issue. - If any requirements are unclear or ambiguous, use
create_commentto ask for clarification and stop execution until answered.
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.
- yesterday First seen · 197 lines · 72 tokens per session scan B f821ec33601b
ensemble-implement is a skill published in the GitHub repository O0000-code/CC-Workshop (18 stars, last pushed 3mo ago), licensed MIT. It adds 72 tokens to every session and 1,994 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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