problem-analysis

A skill that checks a question for faulty assumptions, breaks the underlying problem into basic parts, and aims to understand it before answering.

In plain words
What is it for?
Use it for technical questions, design discussions, and implementation requests that require judgment.
Why use it?
It helps prevent answers that accept contradictions or solve the wrong problem.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/i-stack/ai-coding-kit/problem-analysis
Any agent
npx skills add i-stack/ai-coding-kit --skill problem-analysis
Clone the repo
git clone --depth 1 https://github.com/i-stack/ai-coding-kit

Made for: Claude Code, Codex.

Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 495 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00045 $0.00495
Opus 5 $0.00023 $0.00247
Sonnet 5 $0.00009 $0.00099
Haiku 4.5 $0.00005 $0.00049

Measured yesterday against content hash 34ada1e1a836, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

problem-analysis 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-engineering/problem-analysis/SKILL.md · 37 lines

What it actually says

Problem Analysis

强制入口

命中本 skill 时,必须先完整阅读 references/problem_analysis.md 并按其中条款执行。

  • 不得以 preamble 或摘要代替该文件全文。

三条核心规则

  • [PA-001] 逻辑检验:收到问题后,先审查问题本身是否含逻辑错误、矛盾前提、循环假设或虚假二分。若发现,须先揭示,不得在错误前提上直接作答。
  • [PA-002] 第一性原理:从底层需求拆解问题——实际要解决的是什么?当前提出的路径是否最优?若存在更优解或更深层需求,必须在正式回复前点明。
  • [PA-003] 理解门控:PA-001 + PA-002 完成前不开始正式回复。若问题清晰且无问题,内部完成即可,不强制输出分析块;若发现偏差或更优路径,须输出 问题分析 块。

细则见 references/problem_analysis.md

何时加载

  • 默认:收到任何技术问题、方案讨论、实现请求、架构取舍时。
  • 跳过:纯机械执行(格式化代码、直接翻译)、无判断成分的信息复述。

与相邻 skill 的分工

Skill 分工
problem-analysis(本 skill) 分析问题本身的合理性与真实需求
logical-reasoning(GR-010) 约束 AI 自身回复的论证质量
engineering-discipline(GR-002) 问题描述不清时前置确认
cognitive-expansion(Tier 0/3) 回复后的认知拓展
Files

What ships with it

7 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 First seen · 37 lines · 45 tokens per session scan A 34ada1e1a836

Subscribe to this mod's changes

problem-analysis is a skill published in the GitHub repository i-stack/ai-coding-kit (3 stars, last pushed yesterday), licensed MIT. It adds 45 tokens to every session and 495 once invoked, about $0.0002 per session on Opus 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 2026-08-31.

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