Agent skill

Agent Comm

by hyperlist in hyperlist/feishu-multi-agent

跨 Agent 通信。当用户说"问XX"、"让XX做"、"发给XX"、"check agent status"时使用. An agent skill from hyperlist/feishu-multi-agent.

No licenceAuto-check passedProductivity & Automation

Install Agent Comm

skills CLI
$ npx skills add hyperlist/feishu-multi-agent --skill agent-comm -a claude-code

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

GitHub CLI
$ gh skill install hyperlist/feishu-multi-agent agent-comm --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/hyperlist/feishu-multi-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agent-comm .claude/skills/agent-comm && 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
agent-comm
GitHub stars
273
Token cost
~274 tokens
SKILL.md length
75 words
Files
1
Skills in repo
5
Repo updated
First seen
Licence
None found

At a glance

跨 Agent 通信。当用户说"问XX"、"让XX做"、"发给XX"、"check agent status"时使用. An agent skill from hyperlist/feishu-multi-agent.

  • Works in 4 steps: 用户说「问 coder 这个 bug 怎么回事」 → sessions_list → 找到 coder 的 sessionKey → sessions_send(sessionKey,… → …
  • Productivity & Automation work in your project
  • SKILL.md covers Session Key 格式, 工具, 工作流程 and 注意事项
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Agent Comm is an agent skill from hyperlist/feishu-multi-agent. 跨 Agent 通信。当用户说"问XX"、"让XX做"、"发给XX"、"check agent status"时使用。

Its SKILL.md is about 270 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation. The repository describes itself as: 飞书多 Agent 协作方案 - 基于 OpenClaw.

When your agent uses it

  • Productivity & Automation work in your project

Example prompts

  • “check agent status”
  • “/agent-comm”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. 用户说「问 coder 这个 bug 怎么回事」
  2. sessions_list → 找到 coder 的 sessionKey
  3. sessions_send(sessionKey, message="这个bug怎么回事: ...") → 等待回复
  4. 将 coder 的回复转发给用户

What it can do on your machine

Read from SKILL.md and the folder at commit 9a2cb9c. 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

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

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

  • Credentials

    Names no API keys, tokens, secrets or passwords.

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

Context cost

Agent Comm loads about 274 tokens when it runs. Until then it costs about 18 tokens; SKILL.md has 75 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~18
When it runs · the whole SKILL.md, loaded when a task matches
~274

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); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 75 words (~274 tokens).

name
agent-comm

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/agent-comm of hyperlist/feishu-multi-agent.

Open the folder on GitHubat commit 9a2cb9c

Compare with similar skills

Agent Comm 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.

Agent Comm compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Comm this skillhyperlist/feishu-multi-agent273—~274Automated safety check: PassNone
Agent Browserquran/quran.com-frontend-next1.9k41 repos~3.3kAutomated safety check: PassNone
Process Inboxtelegramdesktop/tdesktop33k2 repos~4.5kAutomated safety check: PassGPL-3.0
Perform Tasktelegramdesktop/tdesktop33k2 repos~3kAutomated safety check: PassGPL-3.0
Brave Searchbadlogic/pi-skills2.6k6 repos~592Automated safety check: PassMIT
Continuetelegramdesktop/tdesktop33k2 repos~9.4kAutomated safety check: PassGPL-3.0

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  • Feishu Chat

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    273 GitHub stars~452 tokensUpdated 7 mo ago
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Questions about Agent Comm

What does Agent Comm do?

跨 Agent 通信。当用户说"问XX"、"让XX做"、"发给XX"、"check agent status"时使用. An agent skill from hyperlist/feishu-multi-agent. Agent Comm is an agent skill from hyperlist/feishu-multi-agent.

When should I use Agent Comm?

Agent Comm fits situations like: productivity & Automation work in your project.

How do I install Agent Comm in Claude Code?

Run `npx skills add hyperlist/feishu-multi-agent --skill agent-comm -a claude-code`. Or copy the skill folder (skills/agent-comm in hyperlist/feishu-multi-agent) into .claude/skills/agent-comm in your project. Claude Code loads it when a task matches its description.

How do I install Agent Comm in Codex?

Run `npx skills add hyperlist/feishu-multi-agent --skill agent-comm -a codex`. Or copy the skill folder (skills/agent-comm in hyperlist/feishu-multi-agent) into .agents/skills/agent-comm in your project. Codex loads it when a task matches its description.

Can I use Agent Comm 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 hyperlist/feishu-multi-agent --skill agent-comm -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-comm, .gemini/skills/agent-comm, .github/skills/agent-comm and .opencode/skills/agent-comm in your project.

What does Agent Comm need to run?

SKILL.md names no scripts, command-line tools or credentials: Agent Comm is instructions for the agent only.

Does Agent Comm access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Agent Comm 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. Review the folder before installing.

What licence does Agent Comm use?

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

How many tokens does Agent Comm use?

About 274 tokens (SKILL.md is roughly 1.1k 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 Agent Comm?

Skills that share tags, products or a category with Agent Comm: Agent Browser (quran/quran.com-frontend-next, 1.9k stars), Process Inbox (telegramdesktop/tdesktop, 33k stars), Perform Task (telegramdesktop/tdesktop, 33k stars) and Brave Search (badlogic/pi-skills, 2.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Comm?

hyperlist (a GitHub user) maintains it in hyperlist/feishu-multi-agent, which has 273 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on March 10, 2026.

Source: hyperlist/feishu-multi-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.