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Agent Skill · 研究检索

idea-evaluator(想法评估员)

idea-evaluator 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。

idea-evaluator 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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 71,838。

总安装 192周安装 8GitHub Stars 484下载 64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:idea-evaluator(想法评估员)
来源仓库:https://github.com/hkustdial/supervisor-skills
仓库路径:skills/idea-evaluator
安装命令:
npx skills add https://github.com/hkustdial/supervisor-skills --skill idea-evaluator
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/hkustdial/supervisor-skills --skill idea-evaluator

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。

idea-evaluator 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。适用于项目可行性分析、风险评估或优先级排序场景。通过关键词搜索和来源分析,帮助 Agent 快速获取评估标准、历史案例或专家意见。

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。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/idea-evaluator

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/hkustdial/supervisor-skills --skill idea-evalu…;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

idea-evaluator 怎么安装?

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

idea-evaluator 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。

idea-evaluator 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。

idea-evaluator 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。

idea-evaluator 用的人多吗?

公开数据是累计安装 192 次,近一周安装 8 次,下载 64 次,GitHub 484 星。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。

idea-evaluator 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 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
idea-evaluator

想法评估员 · 本页

192484只读未明确通过

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

Idea Evaluator

Overview

This skill evaluates a preliminary research idea from the combined perspective of a top-venue reviewer and an experienced advisor. It scores the idea against five improvement dimensions from the idea-generation guide (Higher, Faster, Stronger, Cheaper, Broader), matches the idea's lifecycle against the user's actual capability and available hours per week, probes whether the idea has paradigm-shift potential, flags fatal flaws, and returns one of three verdicts: Strong Accept, Accept with Revisions, or Reject and Pivot.

The goal is to kill weak ideas before the student invests months, and to shape promising-but-underdeveloped ideas into stronger forms before writing begins.

When to use this skill

  • The user has a draft idea and asks whether it is worth pursuing.
  • The user asks for novelty check, feasibility assessment, or scoring.
  • Before the user commits to a paper scope or starts implementation.
  • The user is comparing two or three candidate ideas and needs a structured trade-off.
  • The user suspects scope creep and wants an external check.
  • The user mentions 'evaluate this idea', 'score this idea', 'assess feasibility', or 'is this a good research direction'.

When NOT to use this skill

  • The user has already implemented the idea and is writing the paper. Use intro-drafter, tech-paper-template, or benchmark-paper-template (separate plugin) instead.
  • The user explicitly wants brainstorming of new ideas from scratch. Use plain conversation; see handbook 2.3 for a disruptive-innovation playbook.
  • The user asks for review of an existing manuscript. Use pre-submission-reviewer.
  • The user asks to evaluate a benchmark contribution specifically. Use benchmark-paper-template (separate plugin) in targeted mode.

Core procedure

Step 1: First impression and paper-type positioning

Read the user's idea description. In one paragraph, state whether the idea reads as Novel Problem, Novel Method, or New Setting. Is the story compelling in one sentence? If you cannot write that sentence, the idea itself is probably not yet clear enough for evaluation; ask the user to restate.

Step 2: Fatal-flaws audit (early gate)

See: references/fatal-flaws.md for the ten canonical fatal flaws, each with a detection rule and a defense strategy.

Run the fatal-flaws audit before the scoring steps rather than after them. Identify at most two fatal flaws. For each, state the flaw, cite the detection rule, and recommend a concrete defense.

Short-circuit rule. If any fatal flaw is tagged CRITICAL in the severity taxonomy (single-handedly causes rejection, unfixable within the lifecycle), stop here and emit the verdict directly:

  • Verdict: Reject and Pivot.
  • Output sections 1 (First impression), 2 (Fatal flaws with the CRITICAL flaw), and 8 (Verdict with the flaw-driven rationale) only.
  • Do not run the five-dimension scoring, paradigm-shift probe, feasibility check, or integrity gate. Those would be decoration on a rejection.

If no CRITICAL flaw is found, continue to Step 3.

Step 3: Lifecycle and capability matching

See: references/lifecycle-capability-matching.md for the six-category lifecycle matrix, capability self-assessment rubric, and mismatch recovery strategies.

Map the idea onto one of six categories (Application, Foundational Theory, Cross-Disciplinary, Frontier Exploration, Data-Intensive, Innovative Technique). Match against the user's declared capability (effective hours per week, skill depth, theoretical versus applied strength). Output a mismatch flag if lifecycle is shorter than the user's realistic execution window.

Step 4: Five-dimension scoring

See: references/five-dimensions.md for each dimension's entry strategies, scoring rubric, and worked examples.

Score the idea on each of:

  • Higher: effectiveness and accuracy gains.
  • Faster: efficiency and cost reduction.
  • Stronger: robustness, noise tolerance, generalisation.
  • Cheaper: data, annotation, or solution cost reduction.
  • Broader: cross-domain transplantation or unification.

Score each 1-10 with explicit evidence from the user's stated contribution. Identify the two or three dimensions where the idea has the highest ceiling and recommend emphasising those in the paper.

Step 5: Paradigm-shift probe

See: references/paradigm-shift-probe.md for the four probing principles (First Principles, Elephant in the Room, Technology Cycle, Hamming's Rule) and the cross-reference to handbook section 2.3 when deeper disruptive-innovation exploration is needed.

Test the idea against four questions:

  1. Does it challenge a hidden assumption the field takes for granted?
  2. Does it address an elephant-in-the-room problem everyone sees but nobody wants to touch?
  3. Does it ride a technology-cycle shift (for example, LLMs making a previously impractical approach now feasible)?
  4. If this problem solved itself, would the field change meaningfully? (Hamming's Rule)

Two or more yes answers means the idea has disruptive potential. Note that, and recommend reading handbook 2.3 to deepen the thinking on disruptive-innovation dimensions.

Step 6: Feasibility check

Against the user's stated resources (hardware, data access, team size, engineering skills, timeline), assess:

  • Compute risk: does the experiment fit on stated hardware?
  • Data risk: is the required data accessible, or does it need expensive annotation or private sources?
  • Engineering risk: does the implementation match the user's skill stack?
  • Timeline risk: does the estimated end-to-end duration (coding, experiments, writing, revision) fit within the idea's lifecycle?

If any risk is high, flag it explicitly with a suggested mitigation.

Step 7: Integrity gate

Before emitting the verdict, run the checks in the Integrity gate section below.

Step 8: Final verdict

Issue one of three verdicts:

  • Strong Accept: execute now. Two or more dimensions at 8+, no fatal flaws, capability match green, lifecycle fit.
  • Accept with Revisions: pivot the scope per recommendations before starting. Some dimensions weak, fixable flaws, or lifecycle mismatch that can be shortened.
  • Reject and Pivot: do not pursue this version. Dominated by a prior benchmark or method, unfixable capability mismatch, or more than one fatal flaw.

Emit the evaluation in the Output format below.

Integrity gate

Each bullet is tagged with an enforceability class. [inspection] means the LLM can verify the bullet from the produced output alone. [attestation] means the LLM states it has done the check, but the user remains responsible for verification. [user-attest] means the bullet is a user-side rule the skill cannot confirm.

Before returning the verdict:

  1. [inspection] Every dimension score cites specific evidence from the user's stated contribution; no score is "gut feeling".
  2. [inspection] Feasibility claims reference the user's stated resources, not generic assumptions.
  3. [inspection] Novelty claims either cite specific prior work or are labelled "unverified; literature check required".
  4. [inspection] Fatal flaws are specific and actionable; "this might not work" is not a flaw statement.
  5. [inspection] Verdict is consistent with scoring: Strong Accept requires at least two dimensions at 8+ and zero CRITICAL flaws.
  6. [inspection] Paradigm-shift claim cites which probing question was answered positively.
  7. [attestation] Lifecycle prediction is reasoned from the field's recent pace; the user should sanity-check against their own knowledge of the subfield before acting on it.

If any [inspection] check fails, downgrade the verdict and mark the corresponding output section as "needs user attention". For [attestation] bullets, the skill states the check was run and the user confirms the result.

Output format

1. First impression

  • Paper type:
  • One-sentence story: <...>

2. Fatal-flaws audit (early gate)

#FlawSeverityDefense
1...CRITICAL or MAJOR...

*If any CRITICAL flaw is present, skip sections 3-7 and go to section 8 with verdict Reject and Pivot.*

3. Lifecycle and capability match

AspectUser's inputAssessment
Idea category......
Lifecycle... months...
Weekly effective hours......
Fit...Green or Yellow or Red

4. Five-dimension radar

DimensionScore 1-10EvidenceLift suggestion
Higher.........
Faster.........
Stronger.........
Cheaper.........
Broader.........

5. Paradigm-shift probe

ProbeYes or NoRationale
First Principles......
Elephant in the Room......
Technology Cycle......
Hamming's Rule......

Disruptive potential: <none, possible, strong>.

6. Feasibility

RiskLevelMitigation
Compute......
Data......
Engineering......
Timeline......

7. Integrity gate result

  • Gate 1 through 7:

8. Verdict

****

Top three actions to take first:

  1. ...
  2. ...
  3. ...

平台分布

Codex

35.05%
按下载量换算22

Claude

29.98%
按下载量换算19

Cursor

17.97%
按下载量换算12

Gemini CLI

8.4%
按下载量换算5

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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