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 skills/event4u-app/agent-config/deep-reading-analystnpx skills add event4u-app/agent-config --skill deep-reading-analystgit clone --depth 1 https://github.com/event4u-app/agent-configWrote 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/skills/event4u-app/agent-config/deep-reading-analyst)<a href="https://agentmods.dev/skills/event4u-app/agent-config/deep-reading-analyst"><img src="https://agentmods.dev/badge/skills/event4u-app/agent-config/deep-reading-analyst.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 | $0.00046 | $0.03196 |
| Opus 5 | $0.00023 | $0.01598 |
| Sonnet 5 | $0.00009 | $0.00639 |
| Haiku 4.5 | $0.00005 | $0.00320 |
Grade A, and why
deep-reading-analyst 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.
How it starts
The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
deep-reading-analyst
Wing-1 deep-thinking skill for articles, papers, opinion pieces, case studies, and long-form decision documents. Routes the user's content through 8 thinking frameworks at four depth levels (Quick / Standard / Deep / Research) and returns insight tied to the user's goal, not framework completion.
When to use
- User pastes an article URL, paper, or long text and wants depth ("analyze", "deep dive", "extract insights", "help me understand").
- User asks for a specific framework ("apply SCQA to this", "use inversion thinking", "give me the mental models lens").
- User is making a decision and wants pre-mortem / multi-lens analysis on a written proposal.
- User is studying or note-taking on dense material (research papers, strategy memos, books).
Do NOT use when:
- User wants a 3-bullet TL;DR — use
agent-docs-writingor write a direct summary. - Content is code or a diff — route to
judge-bug-hunter,judge-code-quality, oradversarial-review. - User wants risk analysis on a code change — route to
adversarial-review(diff-bound) orthreat-modeling. - User wants debugging or incident analysis — route to
bug-analyzerorsystematic-debugging.
Framework Arsenal
| Depth | Time | Frameworks | Reference module |
|---|---|---|---|
| L1 — Quick | ~15 min | SCQA, 5W2H | scqa-framework, 5w2h-analysis |
| L2 — Standard | ~30 min | L1 + Critical Thinking, Inversion | + critical-thinking, inversion-thinking |
| L3 — Deep | ~60 min | L2 + Mental Models, First Principles, Systems Thinking, Six Hats | + mental-models, first-principles, systems-thinking, six-hats |
| L4 — Research | 120 min+ | L3 + Cross-source comparison via web search | + comparison-matrix |
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.
- 2d ago First seen · 198 lines · 46 tokens per session scan A 41502b47b448
deep-reading-analyst is a skill published in the GitHub repository event4u-app/agent-config (10 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 3,196 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 2026-09-03.
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