clawd-feishu is a channel plugin that connects OpenClaw to Feishu/Lark, a collaboration and messaging platform. OpenClaw users use it to interact with the agent through Feishu or Lark.
Borrowing it
Nothing to install: this file belongs to m1heng/clawdbot-feishu. 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/m1heng/clawdbot-feishu/main/.claude/skills/feishu-e2e-test/SKILL.mdgit clone --depth 1 https://github.com/m1heng/clawdbot-feishuWrote 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/m1heng/clawdbot-feishu/feishu-e2e-test)<a href="https://agentmods.dev/skills/m1heng/clawdbot-feishu/feishu-e2e-test"><img src="https://agentmods.dev/badge/skills/m1heng/clawdbot-feishu/feishu-e2e-test/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/m1heng/clawdbot-feishu/feishu-e2e-test"><img src="https://agentmods.dev/badge/skills/m1heng/clawdbot-feishu/feishu-e2e-test.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 16 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Data Exfiltration · line 194 Code scans file system directories looking for sensitive files. This could be reconnaissance for credential theft.Fix: Remove unnecessary filesystem scanning. If file access is needed, use explicit, scoped paths. Avoid reading ~/.ssh, ~/.aws, or credential directories.
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 | $0.00058 | $0.01548 |
| Opus 5 | $0.00029 | $0.00774 |
| Sonnet 5 | $0.00012 | $0.00310 |
| Haiku 4.5 | $0.00006 | $0.00155 |
Grade A, and why
feishu-e2e-test 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 11d 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 — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Feishu E2E Test Framework
Local development testing using agent-browser CLI to interact with Feishu web app.
Prerequisites
- Feishu web logged in at
https://feishu.cn/next/messenger agent-browserCLI available- OpenClaw locally installed
- Feishu bot appid/secret given in chat or in .env
- User given bot name which will display in Feishu web UI
Important Notes
Every time you modify extension code, you MUST restart OpenClaw Gateway for changes to take effect.
# Restart gateway (required after code changes)
openclaw gateway restart
# Check if gateway is running
ps aux | grep openclaw
# View gateway logs
tail -f ~/.openclaw/logs/gateway.log
agent-browser Usage
Always use --headed mode so user can see the browser and help with login:
agent-browser --headed --session feishu-test open "https://feishu.cn/next/messenger"
Feishu Web UI Tips
Feishu web has complex UI that makes direct clicking unreliable. Use these strategies:
1. Use Search (Cmd+K) Instead of Clicking
Clicking on chat list items often misses or selects wrong item. Use global search:
# Open search
agent-browser --session feishu-test press "Meta+k"
# Type bot name letter by letter
agent-browser --session feishu-test press "o"
agent-browser --session feishu-test press "p"
agent-browser --session feishu-test press "e"
agent-browser --session feishu-test press "n"
# Select first result
agent-browser --session feishu-test press "Enter"
2. Focus Input with "/" Key
After entering a chat, press "/" to focus the message input:
agent-browser --session feishu-test press "/"
agent-browser --session feishu-test press "Backspace" # Remove the "/"
# Then type your message
3. Type Characters One by One
The type command often fails with special characters. Use press for each character:
# Instead of: agent-browser type "ping"
agent-browser --session feishu-test press "p"
agent-browser --session feishu-test press "i"
agent-browser --session feishu-test press "n"
agent-browser --session feishu-test press "g"
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.
- 11d ago First seen · 232 lines · 58 tokens per session scan A 4e11f73cd9d6
feishu-e2e-test is a skill published in the GitHub repository m1heng/clawdbot-feishu (4,245 stars, last pushed 5mo ago), licensed MIT. It adds 58 tokens to every session and 1,548 once invoked, about $0.0003 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.
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