Autoresearch Feishu Three Table logo

Autoresearch Feishu Three Table

Community
bosprimigenious
autoresearch-feishu-three-table

在已获授权的飞书/Lark 多维表格中处理 AutoResearch 的领题、完成提交/验收和组长初检三表流转,核对当期题号、字段权限、证据和写后回读。用于领取题目、提交验收材料或回填初检结论;不用于绕过组织权限、恢复离职账号或替代任务 QA。

Overview

Publisherbosprimigenious
Repositoryautoresearch-skills
Skill nameautoresearch-feishu-three-table
Stars
57
Forks
6
Bundled files
7
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by bosprimigenious on GitHub. Read the source before you install it.

Installation

Install the Autoresearch Feishu Three Table AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/bosprimigenious/autoresearch-skills/tree/main/skills/autoresearch-feishu-three-table
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/bosprimigenious/autoresearch-skills.git /tmp/autoresearch-skills
mkdir -p .claude/skills
cp -r /tmp/autoresearch-skills/skills/autoresearch-feishu-three-table .claude/skills/autoresearch-feishu-three-table
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Autoresearch Feishu Three Table in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Autoresearch Feishu Three Table on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Autoresearch Feishu Three Table is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AutoResearch 飞书三表流转

把三张表视为有顺序的外部状态机,而不是三份可凭记忆填写的表单:当期领题表提供权威题号,完成提交/验收表绑定交付物,组长初检表记录复核结论。任何写入都只能使用当前已授权身份和当前期次的实时 schema;旧期导出、文件夹名、历史题号和聊天记录都不是权威源。

先识别当前动作

共同执行顺序

  1. 确认授权边界。 只使用用户当前可访问的 tenant、文档和连接器。先做只读探测,记录资源类型、当前期次、表/视图、字段 schema、记录主键和读写能力。页面可见不等于表可写,能写记录不等于能改 schema 或验收字段。
  2. 解析真实 schema。 通过当前资源的元数据、字段列表和状态枚举匹配语义字段;不硬编码列序号、视图位置或旧字段名。无法列字段时停止,不通过猜测构造请求。
  3. 建立跨表身份。 以当前期次的权威题号为主键,同时核对规范论文标识、精确标题和交付摘要。只按项目展示名或模糊搜索命中不能写入。
  4. 预演最小变更。 写出目标记录、拟改字段、旧值摘要、新值摘要和证据引用。除用户明确要求外,不新增字段、改状态枚举、覆盖他人、删除记录或批量更新。
  5. 按职责写入。 领取人只填领取范围,提交人只填材料与自检,验收人或组长才填其受保护结论。用户要求提交材料不等于授权代替审核者判定。
  6. 写后回读。 重新读取目标记录,逐字段比较规范化值,并确认关联记录仍指向同一期次和题号。接口成功但回读不一致时记 CONFLICT,不得报告完成。
  7. 保存私有操作账本。 记录时间、资源逻辑名、记录主键的本地别名、字段变化、回执、证据哈希和未完成项。真实 URL、base/table token、record ID、用户 ID、姓名、邮箱和附件 capability URL 不得进入公开仓库、公开日志或 skill 示例。

权限失败

权限不足、账号失效、资源已转移或用户已经离开原组织时,不循环登录、不复用旧凭据、不请求扩大权限,也不尝试通过旧分享链接绕过访问控制。保留脱敏错误类别和请求阶段,结论写 INCOMPLETE_PERMISSION。替代路径只能是:由当前资源所有者授权新身份、由仍有权限的负责人代填经过复核的字段草稿,或迁移到用户当前控制且被流程认可的新表。

如果旧表不可访问,新表尚未被明确指定为权威源,则只能生成待填草稿和证据清单,不能宣称“已领取”“已提交”“验收通过”或“初检完成”。

完成条件

仅当目标记录唯一、题号来自当期权威表、字段与角色权限匹配、写入有成功回执且写后回读一致时,才能报告对应动作完成。三表是独立门禁:领题成功不证明提交成功,提交成功不证明验收通过,QA 通过也不自动等于组长已回填。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Autoresearch Feishu Three Table AI skill do?

在已获授权的飞书/Lark 多维表格中处理 AutoResearch 的领题、完成提交/验收和组长初检三表流转,核对当期题号、字段权限、证据和写后回读。用于领取题目、提交验收材料或回填初检结论;不用于绕过组织权限、恢复离职账号或替代任务 QA。

Why use Autoresearch Feishu Three Table on TypingMind?

Because you install it once and use it with any model. Autoresearch Feishu Three Table is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Autoresearch Feishu Three Table in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bosprimigenious/autoresearch-skills/tree/main/skills/autoresearch-feishu-three-table. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Autoresearch Feishu Three Table?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Autoresearch Feishu Three Table?

As many as you like. As long as a model supports skills, you can use Autoresearch Feishu Three Table with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Autoresearch Feishu Three Table AI skill free?

Yes. It is published on GitHub by bosprimigenious under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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