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/xiaolai/cc-suite/initnpx skills add xiaolai/cc-suite --skill initgit clone --depth 1 https://github.com/xiaolai/cc-suiteWhat 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 | $0.00048 | $0.02246 |
| Opus 5 | $0.00024 | $0.01123 |
| Sonnet 5 | $0.00010 | $0.00449 |
| Haiku 4.5 | $0.00005 | $0.00225 |
Grade A, and why
init scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Init
Bootstrap cc-suite in the current project.
When to Use
- Setting up a project for the first time
- Re-initializing after cloning a repo that already has
AGENTS.md - Walks through the same setup flow as
/cc-suite:init— useful when the agent should drive the steps in conversation rather than via a slash command
Workflow
Step 0: Resolve the plugin root
CLAUDE_PLUGIN_ROOT is set by Claude Code only — in a Codex or Antigravity session it is unset. Resolve the root from the bridged skills symlink (it points at <plugin-root>/skills/cc-suite):
PLUGIN_ROOT="${CLAUDE_PLUGIN_ROOT:-$(dirname "$(dirname "$(readlink -f .claude/skills/cc-suite 2>/dev/null)")")}"
[ -d "${PLUGIN_ROOT}/scripts" ] || echo "! cannot resolve the cc-suite plugin root — run /cc-suite:bridge-skills from Claude Code first, or export CLAUDE_PLUGIN_ROOT"
Every command below uses ${PLUGIN_ROOT}. Stop if it could not be resolved.
Step 1: Check for existing config
[ -f .cc-suite.md ] && echo "exists" || echo "missing"
If it exists, read it and ask the user:
- Show — display the file and stop
- Regenerate — replace with a fresh config (proceed through questions)
- Cancel — keep as-is and stop
Step 2: Detect project stack
Run these checks to build the stack description:
[ -f package.json ] && echo "node"
[ -f requirements.txt ] || [ -f pyproject.toml ] && echo "python"
[ -f go.mod ] && echo "go"
[ -f Cargo.toml ] && echo "rust"
[ -f Gemfile ] && echo "ruby"
[ -f pom.xml ] || [ -f build.gradle ] && echo "java"
ls *.csproj *.sln 2>/dev/null && echo "dotnet"
[ -f jest.config.js ] || [ -f vitest.config.ts ] && echo "jest/vitest"
[ -f pytest.ini ] || [ -f conftest.py ] && echo "pytest"
[ -d src ] && echo "src/"
[ -d lib ] && echo "lib/"
[ -d app ] && echo "app/"
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 244 lines · 48 tokens per session scan A bb316b9f6f4f
init is a skill published in the GitHub repository xiaolai/cc-suite (44 stars, last pushed 24d ago), licensed ISC. It adds 48 tokens to every session and 2,246 once invoked, about $0.0002 per session on Opus 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
agent-host-chat-contributions
Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.