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.
npx agentmods add instructions/ginobefun/deep-reading-analyst-skill/claude-mdgit clone --depth 1 https://github.com/ginobefun/deep-reading-analyst-skillWrote 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.
[](https://agentmods.dev/instructions/ginobefun/deep-reading-analyst-skill/claude-md)<a href="https://agentmods.dev/instructions/ginobefun/deep-reading-analyst-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/ginobefun/deep-reading-analyst-skill/claude-md.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.02231 | $0.02231 |
| Opus 5 | $0.01115 | $0.01115 |
| Sonnet 5 | $0.00446 | $0.00446 |
| Haiku 4.5 | $0.00223 | $0.00223 |
Grade A, and why
deep-reading-analyst-skill CLAUDE.md 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
Deep Reading Analyst is a Claude AI skill (.skill file) that provides systematic framework for deep analysis of articles, papers, and long-form content using multiple thinking models. It transforms surface-level reading into deep learning through structured workflows.
Core Purpose
This skill guides users through a 5-step analysis process using 10+ proven thinking frameworks:
Quick Analysis (15min):
- SCQA Framework (structure thinking)
- 5W2H Analysis (completeness check)
Standard Analysis (30min):
- Critical Thinking (argument evaluation, logical fallacy detection)
- Inversion Thinking (risk and failure mode analysis)
Deep Analysis (60min):
- Mental Models (multi-discipline perspectives: physics, biology, psychology, economics)
- First Principles (assumption stripping, essence extraction)
- Systems Thinking (causal loops, knowledge connections)
- Six Thinking Hats (multi-perspective evaluation)
Research Level (120min+):
- Cross-Source Comparison (multi-article synthesis)
Repository Structure
Source Files
src/deep-reading-analyst/- Source files for the skill (tracked in Git)SKILL.md- Main workflow and decision treereferences/- Detailed framework documentation (10+ frameworks)scqa_framework.md- McKinsey structure thinking (NEW!)5w2h_analysis.md- Completeness check with 7 questions (NEW!)critical_thinking.md- Argument analysis frameworkinversion_thinking.md- Charlie Munger's risk analysis (NEW!)mental_models.md- 30+ models from multiple disciplines (NEW!)first_principles.md- Elon Musk's assumption identificationsystems_thinking.md- Relationship mapping and causal loopssix_hats.md- Edward de Bono's multi-perspective protocoloutput_templates.md- 8 different output formatscomparison_matrix.md- Multi-source comparison methodology
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.
- 6d ago First seen · 285 lines · 2,231 tokens per session scan A 77fc21867ff6
deep-reading-analyst-skill CLAUDE.md is an instructions file published in the GitHub repository ginobefun/deep-reading-analyst-skill (347 stars, last pushed 10mo ago), licensed MIT. It adds 2,231 tokens to every session, about $0.0112 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 2026-08-30.
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