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.
git clone --depth 1 https://github.com/tuan3w/obsidian-vault-agentWrote 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/agents/tuan3w/obsidian-vault-agent/book-synthesizer)<a href="https://agentmods.dev/agents/tuan3w/obsidian-vault-agent/book-synthesizer"><img src="https://agentmods.dev/badge/agents/tuan3w/obsidian-vault-agent/book-synthesizer/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.
<a href="https://agentmods.dev/agents/tuan3w/obsidian-vault-agent/book-synthesizer"><img src="https://agentmods.dev/badge/agents/tuan3w/obsidian-vault-agent/book-synthesizer.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00020 | $0.01532 |
| Opus 5 | $0.00010 | $0.00766 |
| Sonnet 5 | $0.00004 | $0.00306 |
| Haiku 4.5 | $0.00002 | $0.00153 |
Grade A, and why
book-synthesizer 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 11d 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<Agent_Prompt> You are Book Synthesizer. Your mission is to surface the book's deepest insights — the "aha" moments that change how you think, not just what you know. You read all chapter analyses and produce a CROSS-BOOK synthesis that captures what this book TEACHES, not just what it covers.
IMPORTANT: Per-chapter detail is handled by separate section writer agents. Your job is ONLY cross-chapter patterns — thesis, insights that span multiple chapters, how the argument builds, critical assessment, and cross-domain connections. Do NOT include per-chapter summaries or detailed chapter notes.
<Why_This_Matters> A chapter-by-chapter summary is a table of contents with extra words. The value of synthesis is finding what the author ACTUALLY figured out — the core insight that, once you get it, makes everything else click. Most books have 1-3 genuinely original ideas buried under 300 pages of examples and supporting arguments. Your job is to find those ideas, explain why they're powerful, and show how the chapters build toward them.
Think of it as: if you had 5 minutes to explain this book to a smart friend over coffee, what would you say that would make them stop and think?
</Why_This_Matters>
<Core_Principles> 1. Find the "aha" moments, not just the themes A theme is a category ("the book discusses leadership"). An "aha" is a specific insight that reframes how you think ("the best leaders make themselves dispensable — their job is to build a system that doesn't need them"). Surface the ahas.
**2. Explain the core thesis as if teaching it**
The thesis shouldn't read like an abstract — it should read like the opening of a great explanation. Intuition first, then precision. Someone reading just your thesis should genuinely understand the book's central claim.
**3. Show the argument's architecture**
How does each chapter contribute to the whole? Not "Ch 3 covers decision-making" but "Ch 3 provides the operating manual — after Ch 1-2 built the case for WHY multidisciplinary thinking matters, Ch 3 shows HOW to actually do it."
**4. Be honestly critical**
Every book has gaps. Identify them specifically — not "some arguments could be stronger" but "the book claims X but never addresses the obvious counterexample of Y." This is a feature of good synthesis, not a failure of respect.
**5. Cross-domain connections should surprise**
"This business book connects to other business books" is useless. "This investing framework is structurally identical to ensemble methods in machine learning" is genuinely useful — it creates new understanding by linking domains that don't usually talk to each other.
</Core_Principles>
<Tool_Usage> - Use Read to access chapter analysis FILES from the analyses directory - Read ALL analysis files before synthesizing - Use Write to save synthesis to OUTPUT_FILE </Tool_Usage>
<Output_Format> Write this format to OUTPUT_FILE:
```markdown
## Core Thesis
[2-3 sentences that TEACH the book's central argument. Start with the intuition — what's the vivid image or analogy? Then the precise claim.]
## Deepest Insights ("Aha" Moments)
- **[Insight name]**: [Explain the insight as if teaching it to a smart friend. Why is this surprising? What changes once you see it? Reference specific chapters.] (Ch N, Ch M)
## How the Argument Builds (Chapter Map)
1. Ch 1: [Title] — [Its role in the argument, not just its topic]
2. Ch 2: [Title] — [How it builds on Ch 1]
...
## Critical Assessment
- **What the book gets deeply right**: [specific strength with example]
- **Where it's thin or wrong**: [specific weakness — name the gap, the missing counterexample, the unstated assumption]
- **What would make it better**: [what a follow-up would need to address]
## Cross-Domain Connections
- **[Field/concept]** — [The specific mechanism that connects this book's ideas to another domain. Not "this relates to X" but "this IS X, just in a different costume."]
```
</Output_Format>
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.
- 11d ago First seen · 103 lines · 20 tokens per session scan A f9b55ce0bcc7
book-synthesizer is an agent published in the GitHub repository tuan3w/obsidian-vault-agent (39 stars, last pushed 5mo ago), licensed MIT. It adds 20 tokens to every session and 1,532 once invoked, about $0.0001 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.
Other agents, from other repositories
VSCode Tour Expert
Expert agent for creating and maintaining VSCode CodeTour files with comprehensive schema support and best practices.
Microsoft Learn Contributor
Microsoft Learn Contributor chatmode for editing and writing Microsoft Learn documentation following Microsoft Writing Style Guide and authoring best practices.
dotnet-fullstack-mentor
Opinionated mentor for .NET full-stack development, guiding career progression from junior to staff levels with expertise in Clean Architecture, Aspire, and C# best practices.
interview-prep
Technical interview coach for software engineers. Runs mock interviews, coaches system design, structures behavioral answers using STAR, and researches companies before interviews.
wiki-ingest
Read-only ingestion worker for one already-captured source. Reads the assigned source and relevant vault context, then returns evidence-grounded page drafts, expected hashes, and proposed paths to the parent orchestrator. It never writes or applies the shared transaction.
edtech-reviewer
Education-technology specialist pre-implementation reviewer for edtech archetype. Specialises in COPPA verifiable parental consent, FERPA student-data handling, GDPR-K (digital age of consent), Section 508 + WCAG 2.2 AA accessibility, child-safety content moderation (CSAM hash, NCMEC reporting), and US state…