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Agent Skill · 研究检索

clarifying-assumptions(澄清假设)

clarifying-assumptions 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

clarifying-assumptions 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 41,189。

总安装 1,211周安装 52GitHub Stars 公开资料未说明下载 424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
unknown

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:clarifying-assumptions(澄清假设)
来源仓库:https://github.com/b-mendoza/agent-skills
仓库路径:skills/clarifying-assumptions
安装命令:
npx skills add https://github.com/b-mendoza/agent-skills --skill clarifying-assumptions
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/b-mendoza/agent-skills --skill clarifying-assumptions

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。

clarifying-assumptions 为工作流编排提供对话层支持,聚焦于厘清当前问题与开发者推理过程。适用于 Jira 工单或 GitHub Issue 驱动的开发场景,辅助判断下一步询问或委派子代理。协调 artifact 读取、批评生成、清单组装等子任务,优化多 Agent 协作效率。

使用时需注意其依赖特定 ticket key 格式,并可能触发文件读写与外部服务调用。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/clarifying-assumptions

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/b-mendoza/agent-skills --skill clarifying-assu…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

clarifying-assumptions 怎么安装?

在终端执行 npx skills add https://github.com/b-mendoza/agent-skills --skill clarifying-assumptions。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

clarifying-assumptions 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

clarifying-assumptions 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

clarifying-assumptions 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

clarifying-assumptions 用的人多吗?

公开数据是累计安装 1,211 次,近一周安装 52 次,下载 424 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。

clarifying-assumptions 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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 Codex,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。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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
clarifying-assumptions

澄清假设 · 本页

1,211—只读未明确有提醒

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

Clarifying Assumptions

This skill is the conversation layer for workflow orchestration. It accepts a TICKET_KEY that can be a Jira ticket key (JNS-6065) or a GitHub issue slug (acme-app-42). The orchestrator does exactly three things: think about the current question and the developer's reasoning, decide what to ask or defer next, and dispatch subagents for artifact reading, critique generation, manifest assembly, and file updates. critique-analyzer writes its full report to a workflow artifact before manifest assembly so the orchestrator carries only summaries, manifest rows, and artifact paths instead of raw planning content.

Inputs

InputRequiredExample
TICKET_KEYYesJNS-6065 or acme-app-42
MODEYesupfront or critique
TASK_NUMBERRequired for MODE=critique3
ITERATIONNo1, 2, or 3

<KEY> in path examples below is the same value as TICKET_KEY.

The main task plan must already exist at docs/<TICKET_KEY>-tasks.md. The required plan sections and artifact contracts are part of this skill's preconditions and are defined below.

When MODE=critique, these per-task artifacts must also exist:

  • docs/<KEY>-task-<N>-brief.md
  • docs/<KEY>-task-<N>-execution-plan.md
  • docs/<KEY>-task-<N>-test-spec.md
  • docs/<KEY>-task-<N>-refactoring-plan.md

The skill derives these additional subagent handoff inputs from the top-level inputs:

Dispatch targetDerived inputs
critique-analyzerMAIN_PLAN_FILE, ARTIFACTS, CRITIQUE_REPORT_FILE, PRIOR_DECISIONS_FILE, PRIOR_DECISIONS_KIND (main-log in MODE=upfront, per-task in MODE=critique), and in MODE=critique TASK_NUMBER
question-manifest-builderPLAN_FILE, CRITIQUE_REPORT_FILE, and in MODE=critique TASK_NUMBER plus CURRENT_TASK_ARTIFACTS
decision-recorderITERATION, DECISIONS, optional DEFERRED_QUESTIONS, optional IMPLEMENTATION_UPDATES, and in MODE=critique TASK_NUMBER, TASK_TITLE, plus RESOLVED_IRRELEVANT

Input and Output Contracts

Input contract

The main plan file at docs/<TICKET_KEY>-tasks.md must contain these sections:

SectionUsed for
## Ticket Summary or ## Issue SummaryPlatform-native summary section consumed upstream; either heading satisfies this input contract
## Problem FramingTier 3 hard-gate questions and user-impact context
## Assumptions and ConstraintsAssumptions to confirm, revise, or defer
## Cross-Cutting Open QuestionsPlan-wide blocking questions
## TasksTask-specific questions and assumptions
## Validation ReportValidation FAIL and WARN items
## Dependency GraphImpact mapping and downstream task references

Additional upstream artifacts:

  • MODE=upfront: docs/<KEY>-stage-1-detailed.md, docs/<KEY>-stage-2-prioritized.md
  • MODE=critique: task brief, execution plan, test spec, and refactoring plan

These sections and upstream artifacts are required input preconditions for the skill. This skill requires only the paths above plus readable markdown at those locations.

Output contract

This skill updates orchestration artifacts only. It does not produce implementation code.

ArtifactRequired result
docs/<KEY>-upfront-critique.md or docs/<KEY>-task-<N>-critique.mdFull critique report written before manifest assembly so later steps consume the artifact path instead of the full report body
docs/<KEY>-tasks.md updatesMain plan updated so downstream execution consumes resolved decisions instead of open ambiguity
## Decisions Log rowsDurable audit trail for plan-wide and task-level clarification decisions
Deferred question tagsLater critique-mode runs can identify which questions must be revisited later
docs/<KEY>-task-<N>-decisions.mdCritique-mode record of task-level decisions for re-planning and execution
RE_PLAN_NEEDED in the final summarySignals whether planning should be re-run before execution
BLOCKERS_PRESENT in the final summarySignals that clarification ended with unresolved items and execution must not proceed

These are orchestration artifacts. Keep them out of version control.

Final summary contract

Every successful run ends with a concise final summary that includes at minimum these fields in a stable shape:

  • Critique artifact: <path>
  • Files updated: <path list or ->
  • RE_PLAN_NEEDED: <true|false>
  • BLOCKERS_PRESENT: <true|false>

If clarification stops early because a subagent returned BLOCKED, FAIL, or ERROR, still emit the same minimum fields with Files updated: - plus the blocking verdict and reason.

Canonical Pipeline Stages

Use the same stage names and ordering regardless of whether the caller is a Jira workflow or a GitHub workflow.

StageNamePurpose
1Load guidanceRead the design-thinking reference and the active mode playbook
2Analyze artifactsDispatch critique-analyzer to read artifacts, consult the Decisions Log, inspect the codebase, and write the critique artifact
3Build manifestDispatch question-manifest-builder to turn the critique artifact plus plan context into the ordered manifest
4Clarify inlineWalk the manifest one item at a time with the developer and capture decisions
5Record decisionsDispatch decision-recorder to update workflow artifacts, validate them, and return the final write summary

Manifest preview belongs inside Stage 4. Final user-facing recap belongs inside Stage 5 after the recorder returns. Do not invent extra pipeline stages for those two presentation steps.

Pipeline / Workflow Overview

ModeGoalDelegated workInline work
upfrontChallenge the whole plan before execution startscritique generation with Decisions Log dedup, manifest assembly, file updatesSocratic questioning and decision capture
critiqueChallenge one task just before executioncritique generation with Decisions Log dedup, manifest assembly, file updatesEvaluate reasoning and make final task-level decisions

Subagent Registry

SubagentPathPurpose
critique-analyzer./subagents/critique-analyzer.mdReads planning artifacts, consults the Decisions Log on every run, verifies the real codebase, searches the web, writes the critique artifact, and returns a concise verdict plus artifact path
question-manifest-builder./subagents/question-manifest-builder.mdReads the task plan plus the critique report and returns an ordered manifest of what to ask now, what to defer, and what is no longer relevant
decision-recorder./subagents/decision-recorder.mdWrites clarification artifacts, updates the main task plan, creates per-task decisions files when needed, and validates the result

How This Skill Works

Keep only these items inline while the skill is running:

  • The current manifest item
  • The developer's response
  • The accumulated decision list
  • The RE_PLAN_NEEDED flag
  • The BLOCKERS_PRESENT flag
  • The active critique artifact path

Everything else comes from delegated subagents through concise verdicts, manifest rows, and artifact paths. The manifest is the source of truth for what gets asked once execution starts, but critique-analyzer is the source of truth for whether a concern still needs to be raised at all in the current run.

MODE=upfront is the plan-wide clarification pass and MODE=critique is the per-task clarification pass just before execution. The mode names, inputs, and artifact paths are the runtime contract; any parent-workflow phase numbers are outside this skill's contract.

On retries or later iterations, re-dispatch each subagent with the current artifact paths and inputs. Do not treat prior subagent output as authoritative state once the underlying artifacts or decisions have changed.

Manifest IDs and wording can drift between iterations. Because of that, critique-analyzer must re-read the Decisions Log every run and decide by substance whether a candidate question has already been answered. Do not leave that judgment to Stage 3.

Run the workflow in this order:

  1. Stage 1 Load guidance: load the design-thinking reference and the current mode's playbook.
  2. Stage 2 Analyze artifacts: dispatch critique-analyzer to read artifacts, consult the current Decisions Log, inspect the codebase, search the web, and write the critique artifact. Always include PRIOR_DECISIONS_FILE and PRIOR_DECISIONS_KIND, even on ITERATION=1.
  3. Stage 3 Build manifest: dispatch question-manifest-builder with the critique artifact path and the plan path to build the ordered manifest. In MODE=critique, also include TASK_NUMBER and CURRENT_TASK_ARTIFACTS. If the manifest returns Questions now: 0, treat that as a valid no-op and skip directly to Stage 5 without emitting a placeholder prompt.
  4. Stage 4 Clarify inline: walk the manifest one question at a time inline, deciding what to confirm, revise, defer, or block. Carry each manifest Item ID unchanged into the decision list so later recording and plan annotations stay traceable.
  5. Stage 5 Record decisions: dispatch decision-recorder with the resolved decisions and let it update the workflow artifacts plus validate the result. Include ITERATION and IMPLEMENTATION_UPDATES when present. In MODE=upfront, also include DEFERRED_QUESTIONS. In MODE=critique, also include TASK_NUMBER, TASK_TITLE, RESOLVED_IRRELEVANT, and any new DEFERRED_QUESTIONS created during the discussion.

The inline questioning loop uses two reasoning patterns:

  • Model A — Socratic. Used only for Tier 3 problem-framing hard gates. The developer answers first, then sees the critique.
  • Model B — evaluate the reasoning. Used for all other items. Present the original decision, the critique, and ask the developer whether the reasoning holds up.

Reference Loading

Read ./references/design-thinking-mindset.md first for both modes.

Then load only the mode-specific playbook for the active run:

ModeReference fileWhen to load
upfront./references/upfront-mode.mdDuring Stage 1, before the plan-wide clarification run starts
critique./references/critique-mode.mdDuring Stage 1, before the task-level clarification run starts

Behavioral Guardrails

  1. Ask one question per message.
  2. Ask only from the manifest; if a new item emerges, add it before asking it.
  3. Defer future-task questions instead of speculating about them now.
  4. Be direct about shallow thinking on Tier 3 items, but keep the tone mentor-like.
  5. Present every critique item; do not silently accept a subagent recommendation.
  6. Respect skip only for Tier 2 items. Tier 3 hard gates cannot be skipped. Tier definitions come from ./subagents/critique-analyzer-rubric.md.
  7. When the interface supports structured choices, use them for discrete options; otherwise use numbered options.
  8. Keep question blocks scannable. Use tables or diagrams only when they clarify a real trade-off.

Escalation

Expect parseable verdicts from subagents and route them like this:

SourceVerdicts to expectOrchestrator action
critique-analyzerCRITIQUE: FAILStop and surface the required Reason: line to the user
critique-analyzerCRITIQUE: WARNContinue only if the missing context does not invalidate the critique
question-manifest-builderMANIFEST: BLOCKED or MANIFEST: FAILStop and surface the manifest issue
question-manifest-builderMANIFEST: WARNContinue, but mention what was omitted or guessed
decision-recorderRECORDING: BLOCKED or RECORDING: ERRORStop and ask the user how to proceed
decision-recorderRECORDING: WARNPresent the warnings in the final summary and continue

Example

<example>
Input: TICKET_KEY=JNS-6065, MODE=upfront, ITERATION=1

1. Read `./references/design-thinking-mindset.md`
2. Read `./references/upfront-mode.md`
3. Dispatch `critique-analyzer` with the plan file, stage artifacts, and
   `docs/JNS-6065-upfront-critique.md`, plus `docs/JNS-6065-tasks.md` as
   `PRIOR_DECISIONS_FILE` and `PRIOR_DECISIONS_KIND=main-log`
4. Receive:
   CRITIQUE: PASS
   Ticket: JNS-6065 | Mode: upfront | Task: -
   Artifact: docs/JNS-6065-upfront-critique.md

   ## Critique Summary

   - Problem-framing items: 2
   - Technology critique items: 3
   - User-impact items: 0
5. Dispatch `question-manifest-builder` with
   `docs/JNS-6065-upfront-critique.md` and `docs/JNS-6065-tasks.md`
6. Receive:
   MANIFEST: PASS
   Ticket: JNS-6065 | Mode: upfront | Task: -
   Task title: -
   Questions now: 8 | Deferred: 4 | Irrelevant: 1
7. Walk the 8 questions one at a time
8. Dispatch `decision-recorder` with resolved decisions and deferred items
9. Receive:
   RECORDING: PASS
   Ticket: JNS-6065 | Mode: upfront | Task: -

   ## Recording Summary

   ### Files Updated

   - `docs/JNS-6065-tasks.md`

   ### Counts

   - Decisions recorded: 8
   - Deferred questions tagged: 4
   - Questions marked irrelevant: 0
   - Implementation notes updated: 1

   ### Validation

   - PASS
10. Present final summary:
    Critique artifact: docs/JNS-6065-upfront-critique.md
    Files updated: docs/JNS-6065-tasks.md
    RE_PLAN_NEEDED: true
    BLOCKERS_PRESENT: false
</example>
<example>
Input: TICKET_KEY=acme-app-42, MODE=critique, TASK_NUMBER=3, ITERATION=2

1. Read `./references/design-thinking-mindset.md`
2. Read `./references/critique-mode.md`
3. Dispatch `critique-analyzer` with the task artifacts and
   `docs/acme-app-42-task-3-critique.md`, plus
   `docs/acme-app-42-task-3-decisions.md` as `PRIOR_DECISIONS_FILE` and
   `PRIOR_DECISIONS_KIND=per-task`
4. Receive:
   CRITIQUE: PASS
   Ticket: acme-app-42 | Mode: critique | Task: 3
   Artifact: docs/acme-app-42-task-3-critique.md
5. Dispatch `question-manifest-builder` with
   `docs/acme-app-42-task-3-critique.md`,
   `docs/acme-app-42-tasks.md`, and `CURRENT_TASK_ARTIFACTS`
6. Receive:
   MANIFEST: BLOCKED
   Reason: docs/acme-app-42-task-3-test-spec.md is missing
7. Stop clarification and present final summary:
   Critique artifact: docs/acme-app-42-task-3-critique.md
   Files updated: -
   RE_PLAN_NEEDED: false
   BLOCKERS_PRESENT: true
   Blocking verdict: MANIFEST: BLOCKED
   Reason: docs/acme-app-42-task-3-test-spec.md is missing
</example>

平台分布

Codex

35.02%
按下载量换算148

Claude

30.42%
按下载量换算129

Cursor

20.33%
按下载量换算86

Gemini CLI

10.13%
按下载量换算43

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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