Agent skill

A2a Status Check

by Leochens in Leochens/feishu-bot-chat-plugin

A2A 协作状态查询与进度汇报指南。仅在飞书群聊中使用,私聊时不适用. An agent skill from Leochens/feishu-bot-chat-plugin.

MITAuto-check passed

Install A2a Status Check

skills CLI
$ npx skills add Leochens/feishu-bot-chat-plugin --skill a2a-status-check -a claude-code

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

GitHub CLI
$ gh skill install Leochens/feishu-bot-chat-plugin a2a-status-check --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/Leochens/feishu-bot-chat-plugin.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/a2a-status-check .claude/skills/a2a-status-check && 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
a2a-status-check
GitHub stars
156
Token cost
~271 tokens
SKILL.md length
52 words
Files
1
Skills in repo
6
Repo updated
First seen
Licence
MIT

At a glance

A2A 协作状态查询与进度汇报指南。仅在飞书群聊中使用,私聊时不适用. An agent skill from Leochens/feishu-bot-chat-plugin.

  • Works in 3 steps: 确认是否阻塞 — 检查消息历史,是否已经 @ 过对方 → 尝试跟进 — 重新 @ 对方询问进度 → 汇报用户 — 如果跟进后仍无响应
  • SKILL.md covers 状态推断, 状态汇报模板, 阻塞识别 and 主动汇报时机, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

A2a Status Check is an agent skill from Leochens/feishu-bot-chat-plugin. A2A 协作状态查询与进度汇报指南。仅在飞书群聊中使用,私聊时不适用。 当以下情况时使用此 Skill: (1) 用户询问协作任务的进展 (2) 需要汇总多个 bot 的工作状态 (3) 需要识别协作中的阻塞点 (4) 用户说"进展如何"、"到哪了"、"谁还没完成"

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.

The repository describes itself as: OpenClaw plugin for bot-to-bot @ communication in Feishu group chats. The licence is MIT.

Example prompts

  • “/a2a-status-check”

Workflow steps

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

  1. 确认是否阻塞 — 检查消息历史,是否已经 @ 过对方
  2. 尝试跟进 — 重新 @ 对方询问进度
  3. 汇报用户 — 如果跟进后仍无响应

What it can do on your machine

Read from SKILL.md and the folder at commit 69b0fdc. 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

A2a Status Check loads about 271 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 52 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~271

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

The full file from Leochens/feishu-bot-chat-plugin at commit 69b0fdc, republished under its MIT licence (© Leochens). 52 words, ~271 tokens.

Download SKILL.mdSave it as .claude/skills/a2a-status-check/SKILL.md (or your agent's skills folder).
name
a2a-status-check
description
A2A 协作状态查询与进度汇报指南。**仅在飞书群聊中使用,私聊时不适用。** **当以下情况时使用此 Skill**: (1) 用户询问协作任务的进展 (2) 需要汇总多个 bot 的工作状态 (3) 需要识别协作中的阻塞点 (4) 用户说"进展如何"、"到哪了"、"谁还没完成"
alwaysActive
true

A2A 协作状态查询

状态推断

通过群聊消息历史推断各 bot 的状态:

消息特征推断状态
你 @ 了 bot,bot 尚未回复🔄 处理中
bot @ 回你并附带结果✅ 已完成
你 @ 了 bot,长时间无回复⏳ 等待中 / 可能阻塞
尚未 @ 的 bot(在等前置任务)🔜 待分配

状态汇报模板

## 协作进度

**任务**:{用户原始需求}

| Bot | 子任务 | 状态 |
|-----|--------|------|
| mac-产品 | 需求文档 | ✅ 已完成 |
| mac-后端 | 接口设计 | 🔄 处理中 |
| mac-前端 | 页面开发 | 🔜 待分配(等后端完成) |
| mac-测试 | 测试用例 | 🔜 待分配 |

**当前进度**:2/4 完成
**下一步**:等待后端完成接口设计后,分配给前端

阻塞识别

当某个 bot 长时间未响应时:

  1. 确认是否阻塞 — 检查消息历史,是否已经 @ 过对方
  2. 尝试跟进 — 重新 @ 对方询问进度
<at user_id="ou_xxxx">mac-后端</at> 之前分配的接口设计任务进展如何?用户在等结果。
  1. 汇报用户 — 如果跟进后仍无响应
后端暂时没有响应,可能正在处理中。要继续等待还是我先基于现有信息给一个初步方案?

主动汇报时机

不需要等用户问,以下情况可以主动汇报:

  • 收到关键 bot 的回传结果时,简要告知用户进度
  • 所有子任务完成时,立即汇总结果
  • 发现阻塞时,及时告知用户

注意事项

  • 状态汇报要简洁,用表格而非大段文字
  • 不确定的状态用"可能"标注,不要猜测
  • 如果用户只是随口问一句,给一句话回复即可,不需要完整表格

© Leochens, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/a2a-status-check of Leochens/feishu-bot-chat-plugin.

Open the folder on GitHubat commit 69b0fdc

Compare with similar skills

A2a Status Check 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.

A2a Status Check compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
A2a Status Check this skillLeochens/feishu-bot-chat-plugin156—~271Automated safety check: PassMIT
OmniRoute A2A CLIdiegosouzapw/OmniRoute74k—~423Automated safety check: PassMIT
A2a ProtocolBuilderIO/agent-native7.1k—~5.7kAutomated safety check: PassNone
A2a Protocolinternet-court/internet-court-skill6.5k1 repos~2.5kAutomated safety check: PassApache-2.0
OmniRoute A2A Agentsdiegosouzapw/OmniRoute74k—~794Automated safety check: PassMIT
Update A2a Protoa2aproject/a2a-java504—~738Automated safety check: PassApache-2.0

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Questions about A2a Status Check

What does A2a Status Check do?

A2A 协作状态查询与进度汇报指南。仅在飞书群聊中使用,私聊时不适用. An agent skill from Leochens/feishu-bot-chat-plugin. A2a Status Check is an agent skill from Leochens/feishu-bot-chat-plugin.

How do I install A2a Status Check in Claude Code?

Run `npx skills add Leochens/feishu-bot-chat-plugin --skill a2a-status-check -a claude-code`. Or copy the skill folder (skills/a2a-status-check in Leochens/feishu-bot-chat-plugin) into .claude/skills/a2a-status-check in your project. Claude Code loads it when a task matches its description.

How do I install A2a Status Check in Codex?

Run `npx skills add Leochens/feishu-bot-chat-plugin --skill a2a-status-check -a codex`. Or copy the skill folder (skills/a2a-status-check in Leochens/feishu-bot-chat-plugin) into .agents/skills/a2a-status-check in your project. Codex loads it when a task matches its description.

Can I use A2a Status Check 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 Leochens/feishu-bot-chat-plugin --skill a2a-status-check -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/a2a-status-check, .gemini/skills/a2a-status-check, .github/skills/a2a-status-check and .opencode/skills/a2a-status-check in your project.

What does A2a Status Check need to run?

SKILL.md names no scripts, command-line tools or credentials: A2a Status Check is instructions for the agent only.

Does A2a Status Check 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 A2a Status Check 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 A2a Status Check use?

A2a Status Check is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does A2a Status Check use?

About 271 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 A2a Status Check?

Skills that share tags, products or a category with A2a Status Check: OmniRoute A2A CLI (diegosouzapw/OmniRoute, 74k stars), A2a Protocol (BuilderIO/agent-native, 7.1k stars), A2a Protocol (internet-court/internet-court-skill, 6.5k stars) and OmniRoute A2A Agents (diegosouzapw/OmniRoute, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains A2a Status Check?

Leochens (a GitHub user) maintains it in Leochens/feishu-bot-chat-plugin, which has 156 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on June 18, 2026.

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