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Agent Skill · 研究检索

feature-radar(特征雷达)

feature-radar 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。

feature-radar 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,权限为需要联网;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 64,068。

总安装 306周安装 13GitHub Stars 12下载 107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:feature-radar(特征雷达)
来源仓库:https://github.com/runkids/feature-radar
仓库路径:skills/feature-radar
安装命令:
npx skills add https://github.com/runkids/feature-radar --skill feature-radar
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/runkids/feature-radar --skill feature-radar

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。

发现并评估新功能机会,建立系统化探索机制。支持多阶段流程与路由规则,聚焦高潜力方向。需用户提供输入或选择机会编号,输出可行性分析。适用于创新团队持续扫描市场与技术趋势。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。

feature-radar 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/feature-radar

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/runkids/feature-radar --skill feature-radar;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

    它需要需要联网,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

feature-radar 怎么安装?

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

feature-radar 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。

feature-radar 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

feature-radar 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。

feature-radar 用的人多吗?

公开数据是累计安装 306 次,近一周安装 13 次,下载 107 次,GitHub 12 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。

feature-radar 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。

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。

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
feature-radar

特征雷达 · 本页

30612需要联网未明确通过

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

Feature Discovery & Prioritization

Mode Routing

ArgumentModePhases
(none) or fullfull1-6 (all)
quickquick1-3 only
evaluateevaluatereconciliation → 5-6 (skip 1-3)
#N (e.g. #2)focusRead opportunity N → Phase 5 (single item) → Phase 6

Route rules:

  • full: Follow normal workflow (Phase 1-6).
  • quick: Execute Phase 1-3, then skip to Completion Summary.
  • evaluate: Run "Subsequent Runs" reconciliation (steps 1-2), then jump directly to Phase 5-6.
  • focus (#N): Read .feature-radar/opportunities/{N}-*.md. If not found, list available opportunities and ask user to pick. Then run Phase 5 for that single opportunity, followed by Phase 6.

State the detected mode before proceeding: "Mode: {mode}"

Bootstrap (First Run)

If .feature-radar/ does not exist at the project root, create it:

.feature-radar/
├── base.md
├── archive/
├── opportunities/
├── specs/
└── references/

Then generate base.md by completing the following:

  1. Detect stack — read go.mod, package.json, Cargo.toml, pyproject.toml. Follow imports to understand the dependency graph. Don't just read the config — understand the architecture.
  2. Map structure — list top-level directories. For each, read at least one file to understand its purpose. Identify: entry points, core logic, tests, docs, configuration.
  3. Extract features — scan exports, commands, API routes, or public functions. Read the implementations, not just the names. Understand what each feature actually does.
  4. Find inspiration sources — read README, CONTRIBUTING, docs/ for related projects and communities
  5. Verify with user — present the generated base.md and ask: "Does this accurately describe your project?"

After presenting base.md, support iterative refinement per references/WORKFLOW-PATTERNS.md.

base.md Template

Generate base.md following the structure defined in references/SPEC.md (sections 2-5). Read references/SPEC.md first, then fill {placeholders} with project-specific analysis.

Key sections to generate:

  • Project Context — detected language, architecture, key feature areas, core philosophy, inspiration sources
  • Feature Inventory — implemented features table + value & innovation landscape table
  • Tracking Summary — counts per category (start at 0)
  • Directory Layout — tree view
  • Classification Rules — per references/SPEC.md §3.2-3.5
  • Maintenance Workflow — feature flow between directories
  • Archive Extraction Checklist — per references/SPEC.md §4.3

After creating the directory, ask the user: "Should I add .feature-radar/ to .gitignore?" (Recommended if the tracking data is internal and shouldn't be committed.)

Subsequent Runs

On subsequent runs (.feature-radar/ already exists):

  1. Read existing base.md — do NOT overwrite
  2. Run reconciliation per references/DEEP-READ.md steps 2-6
  3. Proceed to Mode Routing

Behavioral Directives

Additional directives for this skill:

  • Do not skip phases outside mode rules — follow the Mode Routing and Phase execution HARD-GATEs. For conditional phases, state the skip condition check result before deciding to skip.
  • Reconcile on subsequent runs — see "Subsequent Runs" section above.

Workflow

Execute phases in order.

full mode (default):

  • Phase 1-3: ALWAYS execute.
  • Phase 4: Skip ONLY if no documentation directory exists.
  • Phase 5-6: Skip ONLY if no open opportunities exist.

quick mode:

  • Phase 1-3: Execute. Stop after Phase 3 → Completion Summary.

evaluate mode:

  • Phase 1-4: Skip (reconciliation already done in Subsequent Runs).
  • Phase 5-6: Execute. Skip ONLY if no open opportunities exist.

focus mode (#N):

  • Phase 1-4: Skip.
  • Phase 5: Evaluate the single targeted opportunity only.
  • Phase 6: Propose for that opportunity only.

For each phase completed, state what was produced before moving to the next phase.

Phase 1: Scan & Classify

  1. Read source files (feature ideas, user feedback, ecosystem observations, creative proposals, issue trackers)
  2. Cross-reference each entry against the codebase
  3. Classify:

- Done / Covered / Rejected / N/A → archive - Open / Partially Done → opportunity - Cross-cutting pattern → specs - External observation → references

Checkpoint: Present classification results using this format, then ask "Continue to Phase 2?"

Phase 1 complete:
| Classification | Count | Items |
|---------------|-------|-------|
| Archive       | {n}   | {list} |
| Opportunity   | {n}   | {list} |
| Spec          | {n}   | {list} |
| Reference     | {n}   | {list} |

Phase 2: Archive Completed Features

For each archive candidate:

  1. Create archive/{nn}-{slug}.md
  2. Run the Archive Extraction Checklist (mandatory):

- Extract learnings → specs/ - Derive new opportunities → opportunities/ - Update references → references/ - Update ecosystem trends → specs/ecosystem-trends.md

  1. Mark the entry as processed in the source (strikethrough + status)

Phase 3: Organize Open Opportunities

  1. Create opportunities/{nn}-{slug}.md
  2. Assess Impact and Effort realistically
  3. Write an honest "Our Position" — do we actually want this?

Checkpoint: Present opportunities using this format, then ask "Continue to Phase 4?"

Phase 3 complete: {n} opportunities organized
| # | Opportunity | Impact | Effort | Our Position |
|---|------------|--------|--------|-------------|
| {nn} | {title} | High/Med/Low | High/Med/Low | {1-line stance} |

Phase 4: Gap Analysis

Find implemented features that docs don't mention:

  1. Scan documentation for coverage of implemented features
  2. For each gap: which feature, which page should cover it, standalone guide or section

Phase 5: Evaluate & Prioritize

CriterionQuestion
Real user demandAre users actually asking for this?
Value upliftDoes this meaningfully improve the user experience or unlock new possibilities?
Innovation potentialDoes this introduce a creative breakthrough or unique approach?
Effort / impact ratioIs the cost justified by the benefit?
Architectural fitDoes it align with our core philosophy?
Ecosystem timingIs the ecosystem ready?

Rank into tiers:

  • Build next: High value + strong demand or innovation potential + reasonable effort
  • Build soon: Good value + moderate demand
  • Monitor: Low demand or premature
  • Skip: Conflicts with philosophy or negligible value

Checkpoint: Present tier ranking using this format, then ask "Continue to Phase 6 (Propose)?"

Phase 5 complete:
| Tier | # | Opportunity | Demand | Value | Innovation | Effort/Impact | Fit | Timing |
|------|---|------------|--------|-------|------------|--------------|-----|--------|
| Build next | {nn} | {title} | {H/M/L} | {H/M/L} | {H/M/L} | {H/M/L} | {H/M/L} | {H/M/L} |
| Build soon | ... | | | | | | |
| Monitor    | ... | | | | | | |
| Skip       | ... | | | | | | |

Phase 6: Propose & Decide

For each "Build next" feature (top 1-3), present a proposal card:

### {nn}. {Title}
**Pitch**: {One paragraph — what value does this create?}
**Effort**: {N days} — {brief justification}
**Key decisions**:
- {decision 1}
- {decision 2}

After all cards, ask: "Should we enter plan mode for [feature]?"

Completion Summary

Follow the template in references/DIRECTIVES.md, with skill name "Complete" and an additional line: Top recommendation: {feature name} — {one-line pitch}

Guardrails

  • Don't copy blindly. Evaluate fit with YOUR architecture and users, not someone else's.
  • Don't overcount. 1 issue with no comments = weak signal.
  • Don't undercount. Multiple independent asks = strong signal.
  • Chase value, not features. Ask "what problem does this solve?" before "what does this do?"
  • Be honest about effort. Low < 1 day. Medium 1-3 days. High 1+ week.
  • Challenge deferred items. "Deferred" ≠ "forever" — re-evaluate each session.
  • Think creatively. The best features aren't always the obvious ones — look for novel angles.

平台分布

Codex

36.55%
按下载量换算39

Claude

30.31%
按下载量换算32

Cursor

20.27%
按下载量换算22

Gemini CLI

10.61%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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