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Agent Skill · 研究检索

fpf-simple(fpf 简单)

fpf-simple 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。

fpf-simple 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 50,054。

总安装 630周安装 26GitHub Stars 15下载 206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:fpf-simple(fpf 简单)
来源仓库:https://github.com/codealive-ai/fpf-simple-skill
仓库路径:skills/fpf-simple
安装命令:
npx skills add https://github.com/codealive-ai/fpf-simple-skill --skill fpf-simple
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/codealive-ai/fpf-simple-skill --skill fpf-simple

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。

fpf-simple 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。可通过 npx skills add 命令从指定仓库安装并使用。安装前需确认权限范围、维护状态及是否触发联网或文件操作。

建议结合原始 README 核验具体用法和功能细节。

来源仓库内路径:skills/fpf-simple

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/codealive-ai/fpf-simple-skill --skill fpf-simp…;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

fpf-simple 怎么安装?

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

fpf-simple 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。

fpf-simple 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。

fpf-simple 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。

fpf-simple 用的人多吗?

公开数据是累计安装 630 次,近一周安装 26 次,下载 206 次,GitHub 15 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。

fpf-simple 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
fpf-simple

fpf 简单 · 本页

63015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

First Principles Framework (FPF)

An "Operating System for Thought" — a transdisciplinary architecture for reasoning, written in human- and machine-readable pseudo-code. FPF turns raw intelligence (human or machine) into organisationally usable reasoning: explicit bounded contexts, auditable artefacts, multi-view descriptions, and disciplined hand-offs between specialised actors.

Use cases

Use FPF whenever you need to think more rigorously than the situation's default.

  • Decompose a messy, cross-domain problem into parts that can be reasoned about independently
  • Make a high-stakes decision with incomplete evidence — and know what evidence is still missing
  • Get a mixed team to reason together without vocabulary collisions or hidden assumptions
  • Audit whether a conclusion is well-founded or just plausible
  • Transfer an insight across domains without losing precision or introducing category errors
  • Structure a proposal that must survive scrutiny from multiple expert perspectives
  • Generate alternatives systematically instead of anchoring on the first idea
  • Define what "better" means before comparing options

How to navigate

The use cases above help decide WHETHER to invoke FPF. The router below decides WHERE to go once invoked.

Step 1 — Match the thinking need to a starting point

What you need to doStart here
Decompose a complex whole into bounded parts04 Kernel → A.1 Holons, A.1.1 Bounded Contexts, A.14 Mereology
Assign roles and responsibilities04 Kernel → A.2 Roles, A.15 Role-Method-Work Alignment
Set boundaries on what statements mean05 Signature Stack → classify as definitions, gates, duties, or evidence
Prevent category errors (role vs. function, method vs. work)06 Constitutional Principles → A.7 Strict Distinction
Evaluate confidence in a claim or artifact07 Part B → B.3 Trust & Assurance; 08 Part C → C.2 F-G-R scoring
Compose parts into wholes preserving properties07 Part B → B.1 Gamma algebra; 08 Part C → C.13 Compose-CAL
Reason through a problem systematically07 Part B → B.5 Reasoning Cycle, B.5.2 Abductive Loop
Generate alternatives / explore solution space08 Part C → C.18 NQD Open-Ended Search, C.19 Explore-Exploit
Measure and compare options rigorously06 A.V → A.17-A.19 Characteristics & CSLC; 08 Part C → C.16 MM-CHR
Score knowledge quality (formality, scope, reliability)08 Part C → C.2 KD-CAL, C.2.2 Reliability, C.2.3 Formality
Resolve conflicts across stakeholders or values09 Part D → Ethics & Conflict
Unify vocabulary across teams or domains13 F.I Context of Meaning → 14-15 UTS tables → 20 Lexical Debt
Document for multiple audiences11 E-I Constitution → E.17 Multi-View Publication Kit
Survey a discipline and build a reusable toolkit16 Part G → SoTA Packs, TraditionCards, OperatorCards
Trace provenance of a claim06 A.V → A.10 Evidence Graph; 16 Part G → G.6 Provenance Ledger

For complex problems, follow paths across multiple sections — the router shows where to start, not where to stop.

Step 2 — Read the _index.md, then the sub-section

  1. Open the _index.md of the target section folder — it lists all sub-sections with line counts and descriptions.
  2. Read only the specific sub-section file you need.
  3. Do NOT load entire sections. Pick the narrowest file that serves the user's question.

Step 3 — Apply in plain language

Use plain language for the user. Introduce FPF-internal names (U.Holon, Gamma, F-G-R) only when they add precision the user needs.

Step 4 — Compose findings across sections

When a problem draws from multiple sections:

  1. State each pattern's contribution in one line (e.g., "Bounded Contexts gives us the parts; Trust Calculus scores our confidence in each").
  2. If patterns from different sections appear to conflict, check for category errors via A.7 Strict Distinction — the conflict is usually a level confusion (role vs. function, method vs. work), not a real contradiction.
  3. Synthesize in natural order: decomposition first (what are the parts?), then evaluation (how confident are we?), then resolution (what do we do about gaps?).
  4. Do not just list FPF patterns — weave them into a coherent answer to the user's actual question.

Starter prompt (example — adapt to the user's actual role and need)

You have the FPF specification loaded. Help me structure my project / problem / programme. Use plain language for an engineer-manager. Propose: (1) bounded contexts / specialisations, (2) decision criteria, (3) key alternatives, (4) hand-offs, and (5) missing evidence or tests before commitment. Introduce internal FPF names only when they add precision.

Section INDEX

Structural reference. Each entry is a folder — read its _index.md first, then pick the sub-section.

#SectionSubWhen to use
01Title page0Authorship, version date, top-level identity.
02Table of Content0Navigate the spec, locate a pattern, trace inter-section dependencies.
03Preface17Onboard: reading paths by role, FPF philosophy, purpose and non-goals.
04Part A — Kernel19Decompose and assign: holons, bounded contexts, roles, transformers, method/work separation.
05A.IV.A — Signatures18Set boundaries: classify statements as definitions, gates, duties, or evidence.
06A.V — Principles29Prevent confusion: category errors, measuring, comparing, evidence graphs.
07Part B — Reasoning24Compose and evaluate: aggregation (Gamma), trust scores, emergence, reasoning cycles.
08Part C — Extensions30Score and search: epistemic quality (F-G-R), kinds, measurement, open-ended search.
09Part D — Ethics1Resolve conflicts: ethical trade-offs, bias auditing, safety overrides.
10Part E — Constitution0Entry point for Part E subsections.
11E-I — Constitution29Govern and publish: 11 Pillars, guard-rails, multi-view publication (MVPK).
12Part F — Unification0Entry point for Part F subsections.
13F.I — Meaning19Align vocabulary: semantic drift, homonym collisions, Alignment Bridges.
14UTS Layout A0Map concepts across standards (BPMN, PROV-O, ITIL).
15UTS Layout B1Map concepts across disciplines (operations, physics, math).
16Part G — SoTA Kit15Harvest disciplines: SoTA Packs, TraditionCards, OperatorCards, benchmarks.
17Part H — Glossary0Look up terms: canonical definitions, four-register naming, cross-references.
18Part I — Annexes0Walkthroughs, change log, external standards mappings.
19Part J — Indexes0Concept-to-pattern, pattern-to-example, principle-trace indexes.
20Part K — Lexical Debt2Fix terminology: mandatory replacements and migration debt.

平台分布

Codex

33.81%
按下载量换算70

Claude

30.32%
按下载量换算62

Cursor

19.33%
按下载量换算40

Gemini CLI

10.48%
按下载量换算22

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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