Borrowing it
Nothing to install: this file belongs to XiaomingX/moltbot-connector-feishu-dingtalk. 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/XiaomingX/moltbot-connector-feishu-dingtalk/main/.gemini/skills/dingtalk-connection/SKILL.mdgit clone --depth 1 https://github.com/XiaomingX/moltbot-connector-feishu-dingtalkWrote 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/xiaomingx/moltbot-connector-feishu-dingtalk/dingtalk-connection)<a href="https://agentmods.dev/skills/xiaomingx/moltbot-connector-feishu-dingtalk/dingtalk-connection"><img src="https://agentmods.dev/badge/skills/xiaomingx/moltbot-connector-feishu-dingtalk/dingtalk-connection/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/xiaomingx/moltbot-connector-feishu-dingtalk/dingtalk-connection"><img src="https://agentmods.dev/badge/skills/xiaomingx/moltbot-connector-feishu-dingtalk/dingtalk-connection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk warn
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 | $0.00049 | $0.00383 |
| Opus 5.5 | $0.00020 | $0.00153 |
| Sonnet 5.5 | $0.00010 | $0.00077 |
| Haiku 4.5 | $0.00005 | $0.00038 |
Grade A, and why
dingtalk-connection 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 2mo 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.
What it actually says
DingTalk Bridge
Bridge DingTalk bot messages to Clawdbot Gateway over a local WebSocket connection.
Architecture
DingTalk user -> DingTalk cloud -> webhook (bridge.py) -> Clawdbot Gateway -> AI agent
Setup
1. Create DingTalk bot
Create a bot that can send outgoing webhooks and set the callback URL to your public endpoint.
2. Run bridge
cd <skill-dir>/dingtalk-connection
uv sync
DINGTALK_SIGNING_SECRET=your_secret uv run python bridge.py
3. Auto-start (macOS)
uv run python setup_service.py
launchctl load ~/Library/LaunchAgents/com.clawdbot.dingtalk-bridge.plist
Environment variables
| Variable | Required | Default |
|---|---|---|
DINGTALK_PORT |
— | 3210 |
DINGTALK_PATH |
— | /dingtalk |
DINGTALK_SIGNING_SECRET |
— | — |
DINGTALK_BOT_ID |
— | — |
DINGTALK_BOT_NAME |
— | — |
CLAWDBOT_CONFIG_PATH |
— | ~/.clawdbot/clawdbot.json |
CLAWDBOT_AGENT_ID |
— | main |
DINGTALK_THINKING_THRESHOLD_MS |
— | 2500 |
What ships with it
5 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.
- 2mo ago First seen · 49 lines · 49 tokens per session scan A 4823e885c4ab
dingtalk-connection is a skill published in the GitHub repository XiaomingX/moltbot-connector-feishu-dingtalk (7 stars, last pushed 9mo ago), licensed Apache-2.0. It adds 49 tokens to every session and 383 once invoked, about $0.0002 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 2026-08-31.
dingtalk-connection compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dingtalk-connectionXiaomingX/moltbot-connector-feishu-dingtalk | Skill | 7 | 9mo ago | Apache-2.0 | A | 49 | Gemini CLI |
| mem0-oss-to-platformmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 217 | Claude Code, Codex |
| azure-mgmt-botservice-dotnetmicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 78 | Claude Code |
| fastapi-router-pymicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 46 | Claude Code |
| dev-runtimelangwatch/langwatch | Skill | 5.0k | yesterday | Apache-2.0 | A | 172 | Claude Code |
| api-designericrisco/rsc-harness | Skill | 503 | 2d ago | MIT | A | 105 | Claude Code, Codex |
| migrate-segw-to-raparc-mcp/arc-1 | Skill | 252 | yesterday | MIT | A | 106 | Claude Code |