Overview
- Skill Key
- 4ier/feishu-contacts-sync
- Author
- 4ier
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/4ier/feishu-contacts-sync
- Latest Commit SHA
- 73a7e7bacdad735166881aacb598dbe54bcaa319
Sync Feishu (Lark) contacts into USER.md so the agent can identify DM senders by name. Use when setting up Feishu identity recognition, updating contacts after HR changes, or configuring multi-user agent access. Feishu DMs only include open_id (no sender name), so this skill embeds an open_id→name lookup table directly in USER.md for zero-tool-call identification.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 feishu-contacts 技能。 若已安装,则直接安装 feishu-contacts 技能。
# Feishu Contacts Sync ## Problem Feishu (Lark) DM messages only include the sender's `open_id` — no name. Group messages include `Sender metadata` with the name, but DMs don't. Without a lookup table, the agent will either: - Assume all DMs are from the person in USER.md (wrong) - Fail to identify the sender entirely ## Solution Embed the full contacts table directly in USER.md. Since workspace files are injected into the system prompt at gateway startup, the agent can match `open_id` from inbound metadata against the table — zero tool calls needed. ## Important: open_id is per-app Feishu `open_id` is scoped to each app. The same person has different open_ids across different Feishu apps. Each OpenClaw instance using a different Feishu app **must pull contacts with its own app credentials**. ## Setup ### 1. Ensure Feishu app has contacts permission The app needs `contact:user.employee_id:readonly` or `contact:user.base:readonly` scope to list users via the contacts API. ### 2. Run the sync script ```bash python3 scripts/sync_feishu_contacts.py <openclaw_config_path> <feishu_account_name> <user_md_path> ``` Example: ```bash python3 scripts/sync_feishu_contacts.py ~/.openclaw/openclaw.json my_app ~/workspace/USER.md ``` Arguments: - `openclaw_config_path`: Path to your openclaw.json (contains Feishu app credentials) - `feishu_account_name`: The account name under `channels.feishu.accounts` in your config - `user_md_path`: Path to your USER.md file ### 3. USER.md format The script expects USER.md to contain a contacts section with this format: ```markdown ## 飞书通讯录 (App Name) 飞书 DM 不携带发送者姓名。用 inbound metadata 的 chat_id(格式 `user:ou_xxx`)匹配下表识别发送者。 | 姓名 | open_id | |------|---------| | Alice | ou_abc123 | | Bob | ou_def456 | ``` On first run, if no contacts section exists, add the section header and description line manually, then run the script to populate the table. ### 4. Add sender identification to AGENTS.md Add t...
capt-marbles
Task Router
captchasco
OpenClaw integration guidance for CAPTCHAS Agent API, including OpenResponses tool schemas and plugin tool registration.
carol-gutianle
name: modelready description: Start using a local or Hugging Face model instantly, directly from chat. metadata: {"openclaw":{"requires":{"bins": "bash", "curl" }, "env": "URL" }}
cartoonitunes
Read-only factual data about historical Ethereum mainnet contracts. Use when the user asks about a specific contract address, early Ethereum contracts, deployment era, deployer, bytecode, decompiled code, or documented history (what a contract is and is not). Data is non-opinionated and includes runtime bytecode, decompiled code, and editorial history when available. Base URL https://ethereumhistory.com (or set BASE_URL for local/staging).
cassh100k
Portable agent identity encoding. Compress SOUL.md/MEMORY.md into transferable DNA fingerprints, detect identity drift between snapshots, and port personality across platforms (OpenClaw, Claude, GPT, CrewAI). Pure Python, zero dependencies. Use when migrating agents between platforms, detecting personality drift, or backing up agent identity.
camopel
One-command disk cleanup for macOS and Linux — trash, caches, temp files, old kernels, snap revisions, Homebrew, Docker, and Xcode artifacts. Use when user asks to free storage, clean up disk, reclaim space, reduce disk usage, or encounters low disk / "disk full" warnings. Safe by default with dry-run mode. No dependencies beyond bash and awk.