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 skills add caelum29/calibre-mcp --skill calibre-distill-topicgit clone --depth 1 https://github.com/caelum29/calibre-mcpWrote 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/caelum29/calibre-mcp/calibre-distill-topic)<a href="https://agentmods.dev/skills/caelum29/calibre-mcp/calibre-distill-topic"><img src="https://agentmods.dev/badge/skills/caelum29/calibre-mcp/calibre-distill-topic/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/skills/caelum29/calibre-mcp/calibre-distill-topic"><img src="https://agentmods.dev/badge/skills/caelum29/calibre-mcp/calibre-distill-topic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 6 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- medium Rogue Agent · line 20 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00160 | $0.04605 |
| Opus 5 | $0.00080 | $0.02302 |
| Sonnet 5 | $0.00032 | $0.00921 |
| Haiku 4.5 | $0.00016 | $0.00460 |
Grade A, and why
calibre-distill-topic 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 — 378 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Calibre Distill — Topic
Synthesize a single topic across several books in your Calibre library into one
concept-keyed agent skill. Where calibre-distill mirrors one book, this skill mirrors
nobody's structure: it takes a thin topic slice from each of ≥3 sources and re-authors
them into original, multi-source knowledge — a decision framework, per-concept sections, a
cross-source config table, and an explicit "where the sources disagree or complement"
section (the whole point of the aggregate class).
Why this is a different skill from calibre-distill
- calibre-distill = one book → one skill, organized by the book's chapters. Private study aid (raw material).
- calibre-distill-topic = N books → one skill, organized by concept. This is the distributable D1.7 artifact class: no single book contributes its "heart", so it's original synthesis (what every textbook does), not an abridgment of any one work.
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 · 378 lines · 160 tokens per session scan A c7578a18ab94
calibre-distill-topic is a skill published in the GitHub repository caelum29/calibre-mcp (14 stars, last pushed 21d ago), licensed MIT. It adds 160 tokens to every session and 4,605 once invoked, about $0.0008 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 skills, from other repositories
semantic_search
Description: Find books by meaning using LanceDB over title, authors, tags, comments, and series. Supports hybrid keyword + vector search across your entire Calibre library.
reading_recommendations
Description: Get personalized reading recommendations from your Calibre library using series progress, ratings, tags, reading history, and collaborative filtering across similar books.
bastra-recall
Persistent external brain for ChatGPT, Codex, Claude, and other MCP clients — documents (PDFs, contracts, scans with OCR), personal facts (appointments, decisions, items, amounts), AND code lessons / preferences / project topology. USE PROACTIVELY in three modes. (1) RECALL — whenever the user asks about anything from…
bastra-recall
Proactive private local memory for ChatGPT and Codex — recall before acting, save durable rules, lessons and decisions without being asked. Requires the local bastra-recall MCP server installed by bastra install codex.
himalayas-employer
AI hiring assistant for Himalayas. Post remote jobs, manage company profiles, source talent, message candidates, and benchmark salaries using the Himalayas MCP server.
usage-guard
Arm proactive 5-hour usage protection for long Claude Code sessions (batch, subagents, high window % at start). Daemon reads account-level 5-hour window usage (not per-session). User types /usage-guard at session start. Re-arm every sitting. If user mentions usage-guard by name, read this file and run arm.sh.