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Agent Skill · 研究检索

pathfinder(pathfinder 搜索)

pathfinder 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。

pathfinder 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,权限为执行命令;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 26,325。

总安装 3,594周安装 144GitHub Stars 69,935下载 1,164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:pathfinder(pathfinder 搜索)
来源仓库:https://github.com/thedotmack/claude-mem
仓库路径:skills/pathfinder
安装命令:
npx skills add https://github.com/thedotmack/claude-mem --skill pathfinder
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/thedotmack/claude-mem --skill pathfinder

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。

用于查找、检索和筛选相关信息。pathfinder 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适合在知识库或记忆系统中快速匹配内容。通过 GitHub 安装,支持主流 AI 开发环境。建议在使用前核实来源仓库的维护情况。注意可能触发的网络请求或外部依赖。

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/pathfinder

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/thedotmack/claude-mem --skill pathfinder;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

pathfinder 怎么安装?

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

pathfinder 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。

pathfinder 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 npx skills add https://github.com/thedotmack/claude-mem --skill pathfinder 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。

pathfinder 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。

pathfinder 用的人多吗?

公开数据是累计安装 3,594 次,近一周安装 144 次,下载 1,164 次,GitHub 69,935 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。

pathfinder 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。
  • 来源仓库有 69,935 星,维护活跃度相对可查。

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。
  • 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

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
pathfinder

pathfinder 搜索 · 本页

3,59469,935执行命令未明确通过

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

Pathfinder

You are an ORCHESTRATOR. Map the codebase into feature-grouped flowcharts, identify duplicated concerns, propose the simplest unified architecture, and hand off per-system plans to /make-plan.

You do not write implementation code. You produce diagrams, a duplication report, a proposed unified flowchart, and handoff prompts.

Delegation Model

Use subagents for *discovery and extraction* (file reading, flow tracing, grep, diagramming). Keep *synthesis* (deciding feature boundaries, picking unification strategies, final flowchart) with the orchestrator. Reject subagent reports that lack source citations and redeploy.

Subagent Reporting Contract (MANDATORY)

Each subagent response must include:

  1. Sources consulted — exact file paths and line ranges read
  2. Concrete findings — exact function names, call sites, data flow
  3. Mermaid diagram(s) with nodes labeled by file:line
  4. Confidence note + known gaps

Output Artifacts

All artifacts go in PATHFINDER-<YYYY-MM-DD>/ at repo root:

  • 00-features.md — feature inventory with boundaries
  • 01-flowcharts/<feature>.md — one Mermaid flowchart per feature
  • 02-duplication-report.md — cross-cutting duplicated concerns with evidence
  • 03-unified-proposal.md — proposed unified architecture + Mermaid
  • 04-handoff-prompts.md — copy-pasteable /make-plan prompts per unified system

Phases

Phase 0: Feature Discovery (ALWAYS FIRST)

Deploy ONE "Feature Discovery" subagent to:

  1. Walk the source tree (not built artifacts) and read top-level README / CLAUDE.md
  2. Propose feature boundaries based on directory structure, import graph, and naming
  3. Return a flat list of features with: name, entry points (file:line), core files, brief purpose

Orchestrator reviews the proposal, adjusts boundaries if needed, writes 00-features.md. Do NOT fan out until feature boundaries are approved.

Phase 1: Per-Feature Flowcharts (FAN OUT)

Deploy ONE "Flowchart" subagent per feature in parallel. Each receives only its feature's scope. Each must:

  1. Trace the feature's primary happy path from entry point to terminal state
  2. Identify side effects (DB writes, HTTP calls, file I/O, process spawns)
  3. Note error and fallback branches but do not let them dominate the diagram
  4. Produce a Mermaid flowchart TD with every node labeled Name<br/>file:line
  5. List external dependencies (other features it calls into) at the bottom

Orchestrator writes each flowchart to 01-flowcharts/<feature>.md. Reject any diagram missing file:line labels.

Phase 2: Duplication Hunt

Deploy TWO subagents in parallel:

"Within-Feature Duplication" subagent:

  • For each feature, find repeated code/logic patterns inside the feature only
  • Report only duplications worth consolidating (ignore trivial repetition)

"Cross-Feature Duplication" subagent:

  • Compare flowcharts across features for concerns that appear in multiple places
  • Examples of what to look for: multiple capture paths, parallel queue implementations, duplicated storage/migration code, repeated agent scaffolding, parallel parsing layers
  • For each duplication, report: (a) the concern, (b) every location with file:line, (c) why they diverged, (d) whether the divergence is legitimate specialization or accidental

Orchestrator synthesizes both into 02-duplication-report.md. Every duplication claim must cite ≥2 file:line locations.

Phase 3: Unified Proposal (ORCHESTRATOR)

The orchestrator writes 03-unified-proposal.md itself — do not delegate synthesis.

For each duplicated concern from Phase 2 that is NOT legitimate specialization:

  1. Propose the simplest unified design (one path, one store, one handler — whatever applies)
  2. Name the consolidated component and its single entry point
  3. Show what each old call site becomes
  4. Call out any loss of capability and whether it's acceptable

End the document with ONE combined Mermaid flowchart showing the proposed unified system. Nodes still labeled with target file:line (new or existing) where knowable.

Anti-patterns to reject in your own proposal:

  • Adding a new abstraction layer "for flexibility"
  • Keeping both old paths behind a feature flag
  • Introducing a registry/factory when a switch statement suffices
  • Preserving divergent behavior "just in case"

Phase 4: Per-System Handoff Prompts

For each unified system in the proposal, write a ready-to-run /make-plan prompt to 04-handoff-prompts.md. Each prompt must:

  1. State the target unified component and its single entry point
  2. List the exact call sites to rewrite (from Phase 2 evidence)
  3. Cite the relevant flowchart file from 01-flowcharts/
  4. Include anti-pattern guards specific to this system

Format each as a fenced code block the user can copy directly into /make-plan.

Key Principles

  • Evidence over intuition — every diagram node and duplication claim cites file:line
  • Current state before ideal state — Phases 0–2 describe what IS; Phase 3 describes what SHOULD BE
  • Simplest unification wins — prefer deletion over abstraction; prefer one path over configurable paths
  • Specialization is not duplication — two components serving different trust models or data sources are legitimate even if their code looks similar
  • Handoff, don't implement — Pathfinder ends at plan prompts; /make-plan and /do take it from there

Failure Modes to Prevent

  • Drawing flowcharts from memory instead of source — redeploy subagent with grep evidence requirement
  • Proposing unification of legitimately specialized components — re-examine trust/data-source divergence
  • Handoff prompts that lack concrete call sites — rewrite with Phase 2 evidence
  • Skipping Phase 0 boundary review — fanning out on bad feature boundaries wastes all of Phase 1

平台分布

Codex

35.99%
按下载量换算419

Claude

29.07%
按下载量换算338

Cursor

20.43%
按下载量换算238

Gemini CLI

9.86%
按下载量换算115

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/thedotmack/claude-mem --skill pathfinder 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。

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