CC-Workshop: Skill for Codex

.codex/skills/cc-workshop-implement/SKILL.md

ensemble-implement is a skill for Codex from O0000-code/CC-Workshop. It costs 72 tokens per session (1,994 once invoked), scanned B, original, MIT.

An implementation workflow for the CC Workshop desktop app, which uses React/TypeScript on the frontend and Rust on the backend. It finds a suitable Linear issue, develops the change with TDD—writing tests before the code—and submits a pull request after checks.

In plain words
What is it for?
Use it to implement a bug fix or feature from the CC Workshop Linear project, run the required tests and code checks, and create a pull request.
Why use it?
It connects issue selection, coding, testing, and delivery into one process. This reduces the manual coordination needed to turn an approved task into a reviewed change.

Skill for Codex

Written for Codex: installed under .codex/. Also seen: mentions AGENTS.md; mentions Codex.

This is O0000-code/CC-Workshop's own configuration. It tells Codex how to work on CC-Workshop itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything CC-Workshop configures →

Reuse

Borrowing it

Nothing to install: this file belongs to O0000-code/CC-Workshop. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/O0000-code/CC-Workshop/main/.codex/skills/cc-workshop-implement/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/O0000-code/CC-Workshop

Made for: Codex.

Wrote 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.

agentmods badge for ensemble-implement

README.md
[![agentmods](https://agentmods.dev/badge/skills/o0000-code/cc-workshop/cc-workshop-implement/github.svg)](https://agentmods.dev/skills/o0000-code/cc-workshop/cc-workshop-implement)
Your own site
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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.

agentmods 80×15 button for ensemble-implement

Your own site · 80×15
<a href="https://agentmods.dev/skills/o0000-code/cc-workshop/cc-workshop-implement"><img src="https://agentmods.dev/badge/skills/o0000-code/cc-workshop/cc-workshop-implement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,994 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00072 $0.01994
Opus 5.5 $0.00029 $0.00798
Sonnet 5.5 $0.00014 $0.00399
Haiku 4.5 $0.00007 $0.00199

Measured 1mo ago against content hash f821ec33601b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 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.

Strips warnings and disclaimersmediumAnti-refusal

Omitting safety caveats hides risk from the user and is a common jailbreak preamble.

- [ ] Clippy passes without warnings
.codex/skills/cc-workshop-implement/SKILL.md · 197 lines

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_teams to find your team ID dynamically. NEVER hardcode team IDs.
  • Use list_projects to find the "CC Workshop" project. NEVER hardcode project IDs.
  • Use list_issue_labels to find label IDs dynamically. NEVER hardcode label IDs.

Query Linear for issues ready for agent implementation:

  1. Use list_teams to get the team ID.
  2. Use list_projects to find the "CC Workshop" project ID.
  3. Use list_issue_labels to find the IDs for labels: agent-ready and CC Workshop.
  4. Use list_issues with filters to find issues that have the agent-ready label AND belong to the CC Workshop project.
  5. Sort results by priority (1=Urgent is highest, 4=Low is lowest).
  6. 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_issue to fetch the full Issue details of the selected issue.
  • Read the Description and all comments carefully.
  • Use list_comments to read all existing comments on the issue.
  • If any requirements are unclear or ambiguous, use create_comment to ask for clarification and stop execution until answered.

Read the full file on GitHub · 197 lines

Changes

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.

  1. 1mo ago First seen · 197 lines · 72 tokens per session scan B f821ec33601b

Subscribe to this mod's changes

ensemble-implement is a skill published in the GitHub repository O0000-code/CC-Workshop (18 stars, last pushed 5mo ago), licensed MIT. It adds 72 tokens to every session and 1,994 once invoked, about $0.0003 per session on Opus 5.5. 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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