Borrowing it
Nothing to install: this file belongs to Luckycat133/traecnclaw-mcp-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Luckycat133/traecnclaw-mcp-skill/main/.codex/skills/traecnclaw-mcp/SKILL.mdgit clone --depth 1 https://github.com/Luckycat133/traecnclaw-mcp-skillWrote 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/luckycat133/traecnclaw-mcp-skill/traecnclaw-mcp)<a href="https://agentmods.dev/skills/luckycat133/traecnclaw-mcp-skill/traecnclaw-mcp"><img src="https://agentmods.dev/badge/skills/luckycat133/traecnclaw-mcp-skill/traecnclaw-mcp/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/luckycat133/traecnclaw-mcp-skill/traecnclaw-mcp"><img src="https://agentmods.dev/badge/skills/luckycat133/traecnclaw-mcp-skill/traecnclaw-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00091 | $0.01590 |
| Opus 5 | $0.00046 | $0.00795 |
| Sonnet 5 | $0.00018 | $0.00318 |
| Haiku 4.5 | $0.00009 | $0.00159 |
Grade A, and why
traecnclaw-mcp 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 12d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TRAECNclaw MCP
Compose focused tools around user intent. Do not call preflight, wait, poll, event acknowledgement, recovery, cleanup, proof, process, or generic command operations from the agent loop; the gateway owns those mechanics.
Setup
- Install the matching TRAECNclaw server from its source checkout or release server archive. The launcher checks the repository, an installed
traecnclawpackage, thentraecnclaw-mcponPATH; it never executes a JavaScript path selected by an environment variable. - Run
npm run doctorin a source checkout. Then runnpm run --silent setup:mcpfrom the checkout, ornode scripts/setup-mcp.jsfrom this Skill directory, to validate the server and print a resolved client entry. Use--output FILEto create a new mode-0600 file atomically; the command never overwrites an existing file. The JSON templates under assets remain manual fallbacks. - Start the gateway with
npm run start:gateway, then reconnect the MCP client. - Use mock mode only for development; never cite mock output as live TraeCN evidence.
Choose only necessary context
- Call
traecn_open_workspaceonly when the requested folder is not already open. - Call
traecn_list_modelswhen the available choices matter; then calltraecn_select_modelonce. - Call
traecn_select_modeonly when the task requires a different Solo/IDE mode. - Call
traecn_list_conversationsto read the current mode and stable conversation IDs. - Use
traecn_create_conversation,traecn_select_conversation, ortraecn_delete_conversationfor exactly one conversation operation.
These tools change TraeCN context. Never repeat workspace paths in the model message.
Send and track work
Call traecn_send_message with the exact message and, when concurrency makes
the target ambiguous, an explicit conversationId. Clients without the Tasks
extension receive the accepted taskId and status. When the host declares
io.modelcontextprotocol/tasks on the request, the same call returns that
durable gateway identity as resultType: "task".
What ships with it
13 files 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.
- .clawhubignore 48 B
- assets/mcp-client-config.direct.json 338 B
- assets/mcp-client-config.json 326 B
- references/mcp-call-examples.json 2.7 KB
- references/mcp-surface.md 5.4 KB
- references/mcp-tool-contracts.json 16 KB
- scripts/mcp-stdio-smoke.test.js 3.7 KB runs code
- scripts/setup-mcp.js 3.7 KB runs code
- scripts/setup-mcp.test.js 3.7 KB runs code
- scripts/skill-contract.test.js 5.0 KB runs code
- scripts/start-mcp.js 4.8 KB runs code
- scripts/start-mcp.test.js 8.8 KB runs code
- scripts/sync-mcp-contracts.js 1.4 KB runs code
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.
- 12d ago First seen · 131 lines · 91 tokens per session scan A 03cf64671a91
traecnclaw-mcp is a skill published in the GitHub repository Luckycat133/traecnclaw-mcp-skill (0 stars, last pushed 19d ago), licensed MIT. It adds 91 tokens to every session and 1,590 once invoked, about $0.0005 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 2026-08-31.
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