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Agent Skill · 研究检索

speckit-analyze(斑点分析)

speckit-analyze 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。

speckit-analyze 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 61,129。

总安装 356周安装 15GitHub Stars 公开资料未说明下载 125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:speckit-analyze(斑点分析)
来源仓库:https://github.com/h3y6e/speckit-skills
仓库路径:skills/speckit-analyze
安装命令:
npx skills add https://github.com/h3y6e/speckit-skills --skill speckit-analyze
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/h3y6e/speckit-skills --skill speckit-analyze

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。

speckit-analyze 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中分析项目需求时使用。提供覆盖率统计、歧义检测和重复任务合并,帮助优化任务清单和架构设计。

通过 github 安装,命令为 npx skills add https://github.com/h3y6e/speckit-skills --skill speckit-analyze。安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。建议在增量分析模式下使用,避免输出过长影响令牌效率。

来源仓库内路径:skills/speckit-analyze

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/h3y6e/speckit-skills --skill speckit-analyze;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

speckit-analyze 怎么安装?

在终端执行 npx skills add https://github.com/h3y6e/speckit-skills --skill speckit-analyze。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

speckit-analyze 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。

speckit-analyze 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。

speckit-analyze 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。

speckit-analyze 用的人多吗?

公开数据是累计安装 356 次,近一周安装 15 次,下载 125 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。

speckit-analyze 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
speckit-analyze

斑点分析 · 本页

356—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

Speckit Analyze Skill

Goal

Identify inconsistencies, duplications, ambiguities, and underspecified items across the three core artifacts (spec.md, plan.md, tasks.md) before implementation. This command MUST run only after /speckit.tasks has successfully produced a complete tasks.md.

Operating Constraints

STRICTLY READ-ONLY: Do not modify any files. Output a structured analysis report. Offer an optional remediation plan (user must explicitly approve before any follow-up editing commands would be invoked manually).

Constitution Authority: The project constitution (specs/constitution.md) is non-negotiable within this analysis scope. Constitution conflicts are automatically CRITICAL and require adjustment of the spec, plan, or tasks—not dilution, reinterpretation, or silent ignoring of the principle. If a principle itself needs to change, that must occur in a separate, explicit constitution update outside /speckit.analyze.

Execution Steps

1. Initialize Analysis Context

Run scripts/check-prerequisites.sh --json --require-tasks --include-tasks once from repo root and parse JSON for FEATURE_DIR and AVAILABLE_DOCS. Derive absolute paths:

  • SPEC = FEATURE_DIR/spec.md
  • PLAN = FEATURE_DIR/plan.md
  • TASKS = FEATURE_DIR/tasks.md

Abort with an error message if any required file is missing (instruct the user to run missing prerequisite command). For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'''m Groot' (or double-quote if possible: "I'm Groot").

2. Load Artifacts (Progressive Disclosure)

Load only the minimal necessary context from each artifact:

From spec.md:

  • Overview/Context
  • Functional Requirements
  • Non-Functional Requirements
  • User Stories
  • Edge Cases (if present)

From plan.md:

  • Architecture/stack choices
  • Data Model references
  • Phases
  • Technical constraints

From tasks.md:

  • Task IDs
  • Descriptions
  • Phase grouping
  • Parallel markers [P]
  • Referenced file paths

From constitution:

  • Load specs/constitution.md for principle validation

3. Build Semantic Models

Create internal representations (do not include raw artifacts in output):

  • Requirements inventory: Each functional + non-functional requirement with a stable key (derive slug based on imperative phrase; e.g., "User can upload file" → user-can-upload-file)
  • User story/action inventory: Discrete user actions with acceptance criteria
  • Task coverage mapping: Map each task to one or more requirements or stories (inference by keyword / explicit reference patterns like IDs or key phrases)
  • Constitution rule set: Extract principle names and MUST/SHOULD normative statements

4. Detection Passes (Token-Efficient Analysis)

Focus on high-signal findings. Limit to 50 findings total; aggregate remainder in overflow summary.

A. Duplication Detection
  • Identify near-duplicate requirements
  • Mark lower-quality phrasing for consolidation
B. Ambiguity Detection
  • Flag vague adjectives (fast, scalable, secure, intuitive, robust) lacking measurable criteria
  • Flag unresolved placeholders (TODO, TKTK,???, <placeholder>, etc.)
C. Underspecification
  • Requirements with verbs but missing object or measurable outcome
  • User stories missing acceptance criteria alignment
  • Tasks referencing files or components not defined in spec/plan
D. Constitution Alignment
  • Any requirement or plan element conflicting with a MUST principle
  • Missing mandated sections or quality gates from constitution
E. Coverage Gaps
  • Requirements with zero associated tasks
  • Tasks with no mapped requirement/story
  • Non-functional requirements not reflected in tasks (e.g., performance, security)
F. Inconsistency
  • Terminology drift (same concept named differently across files)
  • Data entities referenced in plan but absent in spec (or vice versa)
  • Task ordering contradictions (e.g., integration tasks before foundational setup tasks without dependency note)
  • Conflicting requirements (e.g., one requires Next.js while other specifies Vue)

5. Severity Assignment

Use this heuristic to prioritize findings:

  • CRITICAL: Violates constitution MUST, missing core spec artifact, or requirement with zero coverage that blocks baseline functionality
  • HIGH: Duplicate or conflicting requirement, ambiguous security/performance attribute, untestable acceptance criterion
  • MEDIUM: Terminology drift, missing non-functional task coverage, underspecified edge case
  • LOW: Style/wording improvements, minor redundancy not affecting execution order

6. Produce Compact Analysis Report

Output a Markdown report (no file writes) with the following structure:

Specification Analysis Report

IDCategorySeverityLocation(s)SummaryRecommendation
A1DuplicationHIGHspec.md:L120-134Two similar requirements...Merge phrasing; keep clearer version

(Add one row per finding; generate stable IDs prefixed by category initial.)

Coverage Summary Table:

Requirement KeyHas Task?Task IDsNotes

Constitution Alignment Issues: (if any)

Unmapped Tasks: (if any)

Metrics:

  • Total Requirements
  • Total Tasks
  • Coverage % (requirements with >=1 task)
  • Ambiguity Count
  • Duplication Count
  • Critical Issues Count

7. Provide Next Actions

At end of report, output a concise Next Actions block:

  • If CRITICAL issues exist: Recommend resolving before /speckit.implement
  • If only LOW/MEDIUM: User may proceed, but provide improvement suggestions
  • Provide explicit command suggestions: e.g., "Run /speckit.specify with refinement", "Run /speckit.plan to adjust architecture", "Manually edit tasks.md to add coverage for 'performance-metrics'"

8. Offer Remediation

Ask the user: "Would you like me to suggest concrete remediation edits for the top N issues?" (Do NOT apply them automatically.)

Operating Principles

Context Efficiency

  • Minimal high-signal tokens: Focus on actionable findings, not exhaustive documentation
  • Progressive disclosure: Load artifacts incrementally; don't dump all content into analysis
  • Token-efficient output: Limit findings table to 50 rows; summarize overflow
  • Deterministic results: Rerunning without changes should produce consistent IDs and counts

Analysis Guidelines

  • NEVER modify files (this is read-only analysis)
  • NEVER hallucinate missing sections (if absent, report them accurately)
  • Prioritize constitution violations (these are always CRITICAL)
  • Use examples over exhaustive rules (cite specific instances, not generic patterns)
  • Report zero issues gracefully (emit success report with coverage statistics)

平台分布

Codex

34.2%
按下载量换算43

Claude

30.54%
按下载量换算38

Cursor

18.92%
按下载量换算24

Gemini CLI

9.49%
按下载量换算12

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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