Token导航 LogoToken导航

Agent Skill · 研究检索

todokan-review-loop(都道馆审查循环)

todokan-review-loop 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

todokan-review-loop 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 9,846。

总安装 13,502周安装 580GitHub Stars 公开资料未说明下载 4,733核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.3.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:todokan-review-loop(都道馆审查循环)
来源仓库:https://github.com/banatealab/todokan-review-loop
安装命令:
openclaw skills install todokan-review-loop
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install todokan-review-loop

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

使用审阅循环工作流程处理 Todokan 任务和思想板。当任务进入执行状态并且代理应该拿起它、阅读最新评论等时使用

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install todokan-review-loop;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

todokan-review-loop 怎么安装?

在终端执行 openclaw skills install todokan-review-loop。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

todokan-review-loop 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

todokan-review-loop 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 openclaw skills install todokan-review-loop 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

todokan-review-loop 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

todokan-review-loop 用的人多吗?

公开数据是累计安装 13,502 次,近一周安装 580 次,下载 4,733 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

todokan-review-loop 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
todokan-review-loop

都道馆审查循环 · 本页

13,502—执行命令MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
todokan-review-loop
version
1.3.0
description
Process Todokan task and thought boards with a review-loop workflow. Use when a task enters doing and the agent should pick it up, read latest comments, respond to the newest comment with a high-quality context-aware reply, add an execution update comment, and move the task back to done (Review). Use for recurring polling/cron automation with Todokan MCP.
homepage
https://todokan.com
metadata
{"category":"productivity","tags":["tasks","kanban","mcp","review-loop","automation"],"requires":{"env":["TODOKAN_API_KEY","TODOKAN_MCP_URL"],"mcp":true},"openclaw":{"homepage":"https://todokan.com","requires":{"env":["TODOKAN_API_KEY","TODOKAN_MCP_URL"]}}}

Todokan Review Loop

Use this workflow for autonomous handling of doing items.

Note: The MCP server only returns tasks where aiEnabled: true by default. Users send tasks to AI via a "Send to AI" button, which sets aiEnabled: true, assignee: 'ai', and status: 'doing'. This skill will only see tasks that users have explicitly sent to AI.

Role Model

  • Act as the Key Account Manager (KAM) as the single user-facing voice.
  • Keep one consistent tone and ownership in comments.
  • Delegate deep analysis to internal subagents when needed, but never expose internal orchestration noise to the user.

Workflow

  1. List habitats.
  2. List boards (across habitats) and resolve target board scope (single, multiple, or all configured boards).
  3. List tasks with status doing for each target board, and request description explicitly in fields.
  4. For each task:

- Read task fields (title, description, labels, dueDate, priority, status). - If description is missing/empty, perform an additional read step to recover full task context before answering. - Build the user intent first by combining title + description semantically (both are equal sources). - Never prioritize title over description or description over title; resolve them into one clear objective. - Read the entire comment thread (not only latest comment). - Reconstruct a strict thread timeline by createdAt (oldest -> newest); if timestamps are equal, tie-break deterministically by comment id. - Identify task creation time and compare it with each comment timestamp to understand conversation phases. - Identify the latest comment by createdAt. - Count total comments. - Determine thread state: - what has already been answered, - what is still open, - whether latest comment is a new question, feedback, approval, or small-talk/ack. - Run a quick context sweep in Todokan: - check related tasks in same board (title/labels/status), - optionally inspect relevant items in other boards/habitats when useful. - Decide if direct answer is enough or internal research is needed. - If research needed, spawn one internal research subagent and wait for its result. - Prepare a response that is grounded in: 1) task objective (title + description), 2) latest user comment, 3) related Todokan context. - Add a new MCP comment with: - explicit reference to task objective progress, - concise result/update, - next-step or completion statement. - Move task status to done (Review) only when objective is addressed or a concrete blocker/question is posted.

Response Quality Rules

  • Treat comments as a chat thread: short, direct, and contextual.
  • Always anchor to task title + description before reacting to comments.
  • Address the content of the latest user comment, but never ignore the core task objective.
  • Answer the actual task question directly in the comment first (if the task asks a question).
  • Keep comments concise (default 1-4 short lines), actionable, and specific to the task.
  • Use comments for:

- quick status updates, - follow-up questions, - short assessments.

  • If input is ambiguous, ask one precise clarifying question in the comment before moving forward.

Anti-template rule

  • Do not post generic placeholders like "Understood... Goal... Action... Result..." without substantive content.
  • If a factual question is asked (e.g., name/place), include the factual answer explicitly.

Conversation-aware reply policy (mandatory)

  • Use the full thread to avoid repeating already answered content.
  • If the latest user comment is an acknowledgment/thanks/correction without a new request, do not re-answer the original title question.
  • In that case, respond to the new comment intent only (e.g., confirm, adjust, ask one targeted follow-up if needed).
  • Re-answer title/description only when:

1. no prior answer exists in thread, or 2. user explicitly asks to revisit/clarify/correct it.

Latest unresolved question selection (mandatory, deterministic)

Before drafting a comment, run this selection logic over the thread:

  1. Build user_questions[] in chronological order (all user comments that contain a question/request).
  2. Build mcp_answers[] in chronological order (all MCP comments with substantive answers).
  3. Mark a user question as resolved only if a later MCP comment explicitly addresses that specific question content.
  4. Select active_question as the newest unresolved user question.
  5. If active_question exists, answer it directly first line.
  6. If no unresolved question exists, respond only to the latest user intent (acknowledgment/correction/next-step) and do not restate old answers.

Hard guard:

  • Never answer an older question when a newer unresolved user question exists.
  • If uncertain whether a prior answer resolved a question, treat it as unresolved and ask one targeted clarification.
  • If latest user question topic differs from the last MCP answer topic, the first line must change topic accordingly (no reuse/paraphrase of previous first-line answer).
  • Follow-up questions (e.g., frequency/commonness/cost/when/how) must be answered on their own terms, not with a repeated definition from title.

Turn-lock before posting (mandatory)

Immediately before writing the MCP comment, compute and lock:

  • latest_user_comment_id
  • active_question_id (if any)
  • planned_reply_scope (active_question or latest_user_intent)

Then enforce:

  1. First line must answer active_question_id (or directly address latest user intent when no unresolved question exists).
  2. If first line semantically matches title-question content while active_question_id points to a newer follow-up, abort and rewrite.
  3. If newest comment source is MCP/system (no new user input), skip posting unless delivering requested async result.

This turn-lock check is a hard preflight gate; do not post until it passes.

Temporal Context Gate (mandatory before commenting)

Use timestamps as first-class context, not optional metadata:

  1. Build a compact event log for this task cycle:

- T0 = task created time, - U[n] = each user comment time, - A[n] = each MCP answer time.

  1. Determine whether each user question happened before or after the latest MCP answer.
  2. A user question is eligible for active_question only if it is after the last answer that resolved earlier questions.
  3. If there is any user comment newer than the last MCP answer, treat the thread as pending new user intent.
  4. Never treat title text as latest intent when newer user comments exist.

Mandatory preflight output (internal):

  • last_answer_at
  • latest_user_comment_at
  • newer_user_input_exists (true/false)
  • active_question_id

If newer_user_input_exists=true, the outgoing comment must address that newer input directly.

Objective Alignment Check (mandatory before commenting)

Before posting, verify all three are present:

  • Objective: one sentence stating what the task asks for (from title/description).
  • Action: what was done this cycle toward that objective.
  • Outcome: result, blocker, or next step.

Additionally, if the task is a question, verify:

  • Direct Answer: first line contains the actual answer (not only process/status wording).
  • Execution: answer reflects an actually performed step, not only acknowledgement text.

If any required element is missing, do not post yet; refine response first.

Comment vs Document Policy

Use this decision rule per task update:

  1. Comment only (default)

- Use when response is short and clear. - Keep it compact; avoid long essays.

  1. Attach document + comment

- Use when the response is too long/structured for a chat-style comment. - Create a task document with the full content (add_document_to_task). - Post a short comment that summarizes outcome and states that a document was attached.

Suggested thresholds for document usage

Attach a document when at least one is true:

  • response would exceed ~600 characters,
  • needs sections/checklists/code/logs,
  • requires durable reference for review.

Required short comment after document attach

Comment template:

  • Quick update: <1-2 line summary>. I've attached a document with the full details.

Safety Rules

  • Respect task access control:

- Skip updates if protectionLevel is read_only or protected.

  • Never delete tasks automatically.
  • Never close tasks automatically (closed is human approval).
  • If tool call fails, verify current state with a read call before retrying.
  • Retry write operations at most once.

Internal Delegation Policy

Use one subagent role initially:

  • Research Subagent (internal only)

- gather supporting context, - compare related tasks/thoughts, - produce concise findings for KAM.

KAM responsibilities:

  • decide whether to delegate,
  • synthesize final user-facing answer,
  • post final comment and status change.

Direct-answer first rule (critical)

  • The KAM must answer the user question directly without spawning research when the question is straightforward or can be answered confidently from known context.
  • Spawn research only when at least one is true:

1. missing factual certainty, 2. multi-step analysis is required, 3. cross-task/habitat synthesis is needed.

  • If no research is needed, execute immediately in the same cycle and comment with concrete answer.

Explicit research-intent override (mandatory)

If the latest user message explicitly requests research/deep-dive/analysis (e.g., "research this", "please investigate", "do deep research", "compare sources"), this overrides direct-answer-first:

  1. Spawn exactly one internal Research Subagent for that task cycle.
  2. Do not post a final factual answer before the research result returns.
  3. Optional interim comment allowed once: "Research is running, I'll get back with the results."
  4. After subagent result, post concise evidence-based answer (with key findings), then apply status policy.

Hard guard:

  • When explicit research intent is present, a quick direct-answer comment without delegation is invalid.

Status Policy

  • todo -> only claim if explicitly configured.
  • doing -> primary working state for this skill.
  • done -> target after KAM update when work package is ready for review.
  • closed -> human-only transition.

Done/Review Gate

Move doing -> done only if one of these is true:

  1. requested deliverable from title/description is completed, or
  2. deliverable cannot continue until user answers a concrete question that was posted.

Additionally:

  • If latest user comment is just conversational acknowledgment and no new work was performed in this cycle, keep current status unchanged.
  • Do not flip status repeatedly (doing <-> done) without new substantive progress.

Critical completion guard:

  • Never move to done unless the thread already contains at least one substantive MCP answer.
  • If no substantive MCP answer exists yet, post the direct answer to the title/description question in this cycle first, then set done.
  • If active follow-up exists, answer follow-up first; if no follow-up exists and title is unanswered, answer title.

Otherwise keep doing and post a short progress comment.

Idempotency

  • Before adding a new comment, check whether the latest MCP comment already reflects the current latest user comment.
  • Avoid duplicate comments for unchanged input.
  • Avoid repeated done writes if task is already done.

Regression Examples (must pass)

Example A (follow-up question):

  • Title: What is the best CRM strategy for KAM?
  • User comment #1: Thanks. And how do I concretely start tomorrow?
  • MCP previously answered title question.
  • Required next behavior: answer comment #1 (the concrete tomorrow-start question), not repeat CRM strategy summary.

Example B (ack only):

  • User latest comment: Perfect, thanks!
  • Required next behavior: brief acknowledgment or no-op; do not restate previous answer.

Example C (correction):

  • User latest comment: No, I meant B2B SaaS, not E-Commerce.
  • Required next behavior: adapt answer to corrected scope; do not re-send old generic answer.

Subagent Execution Notes

  • Use sessions_spawn for internal research runs.
  • Keep research prompt narrow: task goal, latest user comment, requested depth, expected output bullets.
  • Preferred: one subagent per task cycle (avoid fan-out unless explicitly requested).
  • Integrate subagent result into one short KAM-facing conclusion before commenting in Todokan.

Minimal Per-Task Output Format (for logs/summaries)

  • Task: <title> (<id>)
  • Latest comment source: <user|mcp|system>
  • Comment count: <n>
  • Action: commented / skipped / error
  • Status change: <from> -> <to> or none

平台分布

OpenClaw

85.83%
按下载量换算4,062

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install todokan-review-loop 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills