fpf-problem-solving

fpf-problem-solving is a skill for Claude Code from CodeAlive-AI/ai-driven-development. It costs 221 tokens per session (4,287 once invoked), scanned A, original, MIT.

A first-principles problem-solving framework for breaking down difficult questions, comparing options, and recording the reasoning behind decisions.

In plain words
What is it for?
Use it to decompose complex problems, define what success means, evaluate alternatives, coordinate different viewpoints, and test whether a conclusion is well founded.
Why use it?
It makes assumptions, missing evidence, trade-offs, and conclusions easier to inspect instead of relying on an unsupported first answer.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 scripts/find_pattern.py C.11.DUA # card: use when / not when, family, section lines.

Part of the ai-driven-development plugin — 23 skills, 1 agent shipped together

Good fit Use it to decompose complex problems, define what success means, evaluate alternatives, coordinate different viewpoints, and test whether a conclusion is well founded.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/CodeAlive-AI/ai-driven-development
agentmods
npx agentmods add skills/codealive-ai/ai-driven-development/fpf-problem-solving

Made for: Claude Code.

Or install ai-driven-development, the plugin that ships this one along with the rest of its 23 skills, 1 agent.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for fpf-problem-solving

README.md
[![agentmods](https://agentmods.dev/badge/skills/codealive-ai/ai-driven-development/fpf-problem-solving/github.svg)](https://agentmods.dev/skills/codealive-ai/ai-driven-development/fpf-problem-solving)
Your own site
<a href="https://agentmods.dev/skills/codealive-ai/ai-driven-development/fpf-problem-solving"><img src="https://agentmods.dev/badge/skills/codealive-ai/ai-driven-development/fpf-problem-solving/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for fpf-problem-solving

Your own site · 80×15
<a href="https://agentmods.dev/skills/codealive-ai/ai-driven-development/fpf-problem-solving"><img src="https://agentmods.dev/badge/skills/codealive-ai/ai-driven-development/fpf-problem-solving.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 221 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,287 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00221 $0.04287
Opus 5.5 $0.00088 $0.01715
Sonnet 5.5 $0.00044 $0.00857
Haiku 4.5 $0.00022 $0.00429

Measured yesterday against content hash 413a4f43ca8b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

fpf-problem-solving scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/fpf-problem-solving/SKILL.md · 190 lines

How it starts

The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.

First Principles Framework (FPF) Library

A transdisciplinary architecture for reasoning — an "Operating System for Thought" that turns raw intelligence, human or machine, into organisationally usable reasoning: bounded contexts, auditable artefacts, multi-view descriptions and disciplined hand-offs.

The Library has two layers, both stored locally:

  • FPF Core (sections/) — transdisciplinary patterns with IDs such as A.7, C.11.DUA, F.19.
  • 36 domain frameworks (DPFs) (dpfs/) — methods of one field, with IDs such as GOALS.7, STR.18, RMP.7, most of them grouped into four Suites (Management, Engineering, Foundational Thinking, Human Capability Engineering). A DPF method builds on the Core patterns it names.

When to use

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

  • Apply a named FPF or DPF pattern (F.19, C.11.DUA, GOALS.7) to the current text, answer or task
  • Repair a recurring trouble in work with an agent: hedging instead of judgment, a lost original question, restarting after a handoff, look-alike alternatives, a plan passed off as done work
  • Answer a field question — strategy, OKR, operations, research, engineering, teaching — with that field's framework
  • Decompose a messy, cross-domain problem; identify the system that acts or changes; keep a plan, a description and a running system apart
  • Decide under uncertainty: real alternatives, quality defined before comparing, causal claims checked, a decision reconsidered when its basis changes
  • Find, qualify, steer or improve a way of working: methods, the next action, resuming work, removing ceremony, checklists, capability
  • Architect systems and compare structures; rewrite, shorten, explain or publish an account without losing what matters
  • Check sources and evidence: what to read, what an author means, whether a source supports the claim

How to navigate

Paths are relative to this skill's directory. One script resolves every reference and says where to start:

Read the full file on GitHub · 190 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday Changed 413a4f43ca8b
  2. 5d ago Changed 76cf7e0843ce
  3. 7d ago Changed · -84 lines 307806af0bd7
  4. 8d ago Changed · +89 lines · +28 tokens per session 84fc7752bd99
  5. 9d ago Changed 5b72c6b744f3
  6. 13d ago Changed 19fb403c7788
  7. 15d ago Changed 7f7b195118e9
  8. 17d ago Changed 70c4dcf943d5
  9. 19d ago Changed 2eb1da18dae2
  10. 21d ago First seen · 185 lines · 193 tokens per session scan A 6e5a520000b6

Subscribe to this mod's changes

fpf-problem-solving is a skill published in the GitHub repository CodeAlive-AI/ai-driven-development (183 stars, last pushed today), licensed MIT. It adds 221 tokens to every session and 4,287 once invoked, about $0.0009 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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