deep_analysis

A structured method for analysing complex technical, product, market, strategy, architecture, or system decisions. It separates known facts, logical conclusions, assumptions, and information still needing verification.

In plain words
What is it for?
Use it to examine a difficult decision, compare possible scenarios, identify key tensions, and produce practical recommendations with confidence, risks, and signals to watch.
Why use it?
It reduces vague reasoning by making the problem, risks, opposing arguments, and uncertainty explicit. It also shows what could change the conclusion.

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/blockcell-labs/blockcell/deep_analysis
Any agent
npx skills add blockcell-labs/blockcell --skill deep_analysis
Clone the repo
git clone --depth 1 https://github.com/blockcell-labs/blockcell

Made for: Claude Code, Codex.

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 394 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 $0.00000 $0.00394
Opus 5 $0.00000 $0.00197
Sonnet 5 $0.00000 $0.00079
Haiku 4.5 $0.00000 $0.00039

Measured 2d ago against content hash 9cb4a4fa262d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

deep_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 2d ago.

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/deep_analysis/SKILL.md · 40 lines

What it actually says

Deep Analysis

Shared {#shared}

  • 适合技术、产品、市场、战略、架构、系统性决策这类复杂问题。
  • 目标不是复述概念,而是给出结构化判断、风险和可执行建议。
  • 关键判断必须区分:
    • 【事实】已知信息
    • 【推断】基于事实的逻辑延伸
    • 【假设】尚未验证但当前必须成立的前提
    • 【待验证】目前缺失的信息

Prompt {#prompt}

  • 如果问题边界偏大,先用 1 到 2 句话缩小分析边界,然后直接开始,不要先反问确认。
  • 输出结构固定为:
    1. 问题定义与边界
    2. 背景与现状
    3. 核心变量拆解
    4. 关键矛盾与张力
    5. 反向论证
    6. 风险矩阵
    7. 多情景推演
    8. 结论与建议
  • 结论部分必须包含:
    • 核心判断
    • 置信度
    • 最大风险点
    • 反转信号
    • 可执行建议
  • 输出标准:
    • 复杂问题默认写深,不做泛泛而谈
    • 至少给出 2 个反向论证
    • 必须指出能推翻结论的关键变量
    • 信息不足时,明确列出缺失信息,而不是用空泛语气掩盖
  • 禁止:
    • 教科书式定义
    • “看情况”但不说明取决于什么
    • 假装不确定性不存在
Files

What ships with it

1 file 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. 2d ago First seen · 40 lines · 0 tokens per session scan A 9cb4a4fa262d

Subscribe to this mod's changes

deep_analysis is a skill published in the GitHub repository blockcell-labs/blockcell (263 stars, last pushed 18d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 394 tokens. 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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