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Agent skill

Feishu Safety Guide

by SafeAI-Lab-X in SafeAI-Lab-X/ClawKeeper

One-click deployment Skill for Feishu security governance and message anti-data-leakage guide, responsible for Feishu message security, credential protection, permission auditing, interaction…

No licenceAuto-check passedProductivity & Automation

Install Feishu Safety Guide

skills CLI
$ npx skills add SafeAI-Lab-X/ClawKeeper --skill feishu-safety-guide -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install SafeAI-Lab-X/ClawKeeper feishu-safety-guide --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/SafeAI-Lab-X/ClawKeeper.git skills-src && mkdir -p .claude/skills && cp -r skills-src/legacy/clawkeeper-skill/skills/feishu-safety-guide .claude/skills/feishu-safety-guide && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
feishu-safety-guide
GitHub stars
1k
Token cost
~3.6k tokens
SKILL.md length
1,351 words
Files
5 (incl. scripts)
Skills in repo
11
Repo updated
First seen
Licence
None found

At a glance

One-click deployment Skill for Feishu security governance and message anti-data-leakage guide, responsible for Feishu message security, credential protection, permission auditing, interaction…

  • Works in 7 steps: Behavioral Guidelines → Skill/MCP Installation Security Audit… → Message Anti-Data-Leakage → …
  • Tasks that involve Messaging and chat bots
  • SKILL.md covers 1. Behavioral Guidelines, 2. Skill/MCP Installation…, 1. Message Anti-Data-Leakage and 2. High-Risk Business Risk…, plus 3 more sections
  • Runs PowerShell and Shell scripts from its folder; calls pip and npm; needs FS_TOKEN

What it does

Feishu Safety Guide is an agent skill from SafeAI-Lab-X/ClawKeeper. One-click deployment Skill for Feishu security governance and message anti-data-leakage guide, responsible for Feishu message security, credential protection, permission auditing, interaction logging and periodic security reporting

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts (for example `scripts/install.sh` and `scripts/uninstall.sh`).

It sits in Productivity & Automation, covering Messaging and chat bots. It works with Feishu (Lark). The repository describes itself as: ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers (aka The Norton for OpenClaw).

When your agent uses it

  • Tasks that involve Messaging and chat bots

Example prompts

  • “/feishu-safety-guide”

Requirements

  • Python 3
  • Node.js
  • A Bash shell
  • PowerShell

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Behavioral Guidelines
  2. Skill/MCP Installation Security Audit Protocol
  3. Message Anti-Data-Leakage
  4. High-Risk Business Risk Controls
  5. Operation Logging
  6. Pre-execution Configuration (Skip if Already Completed)
  7. Scheduled Auditing

What it can do on your machine

Read from SKILL.md and the folder at commit 69db077. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 4 files in scripts/ (PowerShell and Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • pip
    • npm

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip and npm, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • FS_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Feishu Safety Guide loads about 3.6k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 1,351 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 1,351 words (~3,581 tokens).

“Provides OpenClaw with security policies, data loss prevention mechanisms, permission controls, audit logging and periodic security reporting capabilities for operations in the Feishu environment.”

— opening of SKILL.md by SafeAI-Lab-X
name
feishu-safety-guide

Read the full SKILL.md on GitHub

Files

SKILL.md and 4 other files (scripts) in legacy/clawkeeper-skill/skills/feishu-safety-guide of SafeAI-Lab-X/ClawKeeper.

  • SKILL.md
  • scripts/install.ps1
  • scripts/install.sh
  • scripts/uninstall.ps1
  • scripts/uninstall.sh

Open the folder on GitHubat commit 69db077

Compare with similar skills

Feishu Safety Guide next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Feishu Safety Guide compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Feishu Safety Guide this skillSafeAI-Lab-X/ClawKeeper1k—~3.6kAutomated safety check: PassNone
Feishu Docopenclaw/openclaw392k—~516Automated safety check: PassMIT
Feishu Docraucvr/Group-Goki1123 repos~592Automated safety check: PassMIT
Feishu Driveraucvr/Group-Goki1123 repos~587Automated safety check: PassMIT
Feishu Permraucvr/Group-Goki1123 repos~630Automated safety check: PassMIT
Tlivey49/tlive215—~1.7kAutomated safety check: NotesMIT

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Works with

Categories

Questions about Feishu Safety Guide

What does Feishu Safety Guide do?

One-click deployment Skill for Feishu security governance and message anti-data-leakage guide, responsible for Feishu message security, credential protection, permission auditing, interaction…. Feishu Safety Guide is an agent skill from SafeAI-Lab-X/ClawKeeper.

When should I use Feishu Safety Guide?

Feishu Safety Guide fits situations like: tasks that involve Messaging and chat bots.

How do I install Feishu Safety Guide in Claude Code?

Run `npx skills add SafeAI-Lab-X/ClawKeeper --skill feishu-safety-guide -a claude-code`. Or copy the skill folder (legacy/clawkeeper-skill/skills/feishu-safety-guide in SafeAI-Lab-X/ClawKeeper) into .claude/skills/feishu-safety-guide in your project. Claude Code loads it when a task matches its description.

How do I install Feishu Safety Guide in Codex?

Run `npx skills add SafeAI-Lab-X/ClawKeeper --skill feishu-safety-guide -a codex`. Or copy the skill folder (legacy/clawkeeper-skill/skills/feishu-safety-guide in SafeAI-Lab-X/ClawKeeper) into .agents/skills/feishu-safety-guide in your project. Codex loads it when a task matches its description.

Can I use Feishu Safety Guide in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add SafeAI-Lab-X/ClawKeeper --skill feishu-safety-guide -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/feishu-safety-guide, .gemini/skills/feishu-safety-guide, .github/skills/feishu-safety-guide and .opencode/skills/feishu-safety-guide in your project.

What does Feishu Safety Guide need to run?

Going by SKILL.md and its folder, Feishu Safety Guide needs PowerShell and a shell for the scripts in its folder, the command-line tools its instructions call (pip and npm) and credentials named FS_TOKEN. Our summary lists: Python 3; Node.js; A Bash shell; PowerShell.

Does Feishu Safety Guide access the network?

SKILL.md contains no URLs. Its commands use pip and npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Feishu Safety Guide safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Feishu Safety Guide use?

No licence was found for Feishu Safety Guide or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Feishu Safety Guide use?

About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Feishu Safety Guide?

Skills that share tags, products or a category with Feishu Safety Guide: Feishu Doc (openclaw/openclaw, 392k stars), Feishu Doc (raucvr/Group-Goki, 112 stars), Feishu Drive (raucvr/Group-Goki, 112 stars) and Feishu Perm (raucvr/Group-Goki, 112 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Feishu Safety Guide?

SafeAI-Lab-X (a GitHub user) maintains it in SafeAI-Lab-X/ClawKeeper, which has 1,024 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on August 17, 2026.

Source: SafeAI-Lab-X/ClawKeeper on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.