Borrowing it
Nothing to install: this file belongs to DingyangLyu/MatClaw. 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/DingyangLyu/MatClaw/main/.claude/skills/add-dingtalk/SKILL.mdgit clone --depth 1 https://github.com/DingyangLyu/MatClawWrote 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/dingyanglyu/matclaw/add-dingtalk)<a href="https://agentmods.dev/skills/dingyanglyu/matclaw/add-dingtalk"><img src="https://agentmods.dev/badge/skills/dingyanglyu/matclaw/add-dingtalk/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/dingyanglyu/matclaw/add-dingtalk"><img src="https://agentmods.dev/badge/skills/dingyanglyu/matclaw/add-dingtalk.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 | $0.00032 | $0.01499 |
| Opus 5.5 | $0.00013 | $0.00600 |
| Sonnet 5.5 | $0.00006 | $0.00300 |
| Haiku 4.5 | $0.00003 | $0.00150 |
Grade A, and why
add-dingtalk 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 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.
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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Add DingTalk Channel
This skill adds DingTalk support to MatClaw using the skills engine for deterministic code changes, then walks through interactive setup.
Phase 1: Pre-flight
Check if already applied
Read .matclaw/state.yaml. If dingtalk is in applied_skills, skip to Phase 3 (Setup). The code changes are already in place.
Ask the user
Do they already have a DingTalk app configured? If yes, collect the Client ID and Client Secret now. If no, we'll create one in Phase 3.
Phase 2: Apply Code Changes
Run the skills engine to apply this skill's code package.
Initialize skills system (if needed)
If .matclaw/ directory doesn't exist yet:
npx tsx scripts/apply-skill.ts --init
Apply the skill
npx tsx scripts/apply-skill.ts .claude/skills/add-dingtalk
This deterministically:
- Adds
src/channels/dingtalk.ts(DingTalkChannel class with self-registration viaregisterChannel) - Adds
src/dingtalk-auth.ts(interactive credential setup) - Appends
import './dingtalk.js'to the channel barrel filesrc/channels/index.ts - Installs the
dingtalk-streamnpm dependency - Adds
auth:dingtalknpm script - Records the application in
.matclaw/state.yaml
If the apply reports merge conflicts, read the intent file:
modify/src/channels/index.ts.intent.md— what changed and invariants
Validate code changes
npx tsc --noEmit
npm run build
Build must be clean before proceeding.
Phase 3: Setup
Create DingTalk App
If the user doesn't have a DingTalk app, share DINGTALK_SETUP.md or guide them through these steps:
- Go to DingTalk Open Platform
- Click "Create App" (create an H5 Micro App or Enterprise Internal App)
- In the app settings, go to "Robot" section and enable "Robot configuration"
- Set message receiving mode to Stream Mode (Stream 模式)
- Copy the Client ID (AppKey) and Client Secret (AppSecret) from the credentials page
- In "Permissions", grant:
qyapi_robot_sendmsg,qyapi_chat_manage - Publish/release the app
- Add the bot to a DingTalk group chat
What ships with it
6 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.
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 · 185 lines · 32 tokens per session scan A d209eaa65c16
add-dingtalk is a skill published in the GitHub repository DingyangLyu/MatClaw (98 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 32 tokens to every session and 1,499 once invoked, about $0.0001 per session on Opus 5.5. 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.
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