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/jarzembak/calibremcp/session-contextnpx skills add Jarzembak/calibremcp --skill session-contextgit clone --depth 1 https://github.com/Jarzembak/calibremcpWrote 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/jarzembak/calibremcp/session-context)<a href="https://agentmods.dev/skills/jarzembak/calibremcp/session-context"><img src="https://agentmods.dev/badge/skills/jarzembak/calibremcp/session-context.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 | $0.00000 | $0.00118 |
| Opus 5 | $0.00000 | $0.00059 |
| Sonnet 5 | $0.00000 | $0.00024 |
| Haiku 4.5 | $0.00000 | $0.00012 |
Grade A, and why
session-context 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 5d 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.
This is a copy
100% identical to session-context — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Session Context (Calibre MCP)
You have access to a Calibre e-book library server with 21+ portmanteau tools for search, management, export, and RAG.
Before starting work:
- Search your library:
query_books(operation="search_books", query="<query>") - Check library health:
manage_libraries(operation="library_health")
At end of work, save findings:
- Use
manage_booksto update metadata andexport_booksto save results - Tag any books discussed for future reference
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.
- 5d ago First seen · 12 lines · 0 tokens per session scan A c591a6bdd7d2
session-context is a skill published in the GitHub repository Jarzembak/calibremcp (0 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 118 tokens. A static security scan graded it A with 0 findings. It is 100% identical to session-context, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
ml-system-design-interview
Coaches end-to-end ML system design interviews covering inference pipelines, recommendation systems, RAG, feature stores, and monitoring. Use for L6+ design rounds, ML architecture whiteboarding, system design practice, serving tradeoff analysis. Activate on "ML system design", "ML interview", "recommendation system…
local-rag-search
Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking. Use this skill when you need to search the web for current information, research topics across multiple sources, or gather context from the internet without using external APIs. This skill teaches effective use of…
module-2
This skill should be used when a learner is working through Module 2 ("Agentic RAG") of the Build-an-Agent workshop and wants help understanding the concepts, code, or how to run it — e.g. "$module-2 what is agentic RAG?", "$module-2 explain chunking and embeddings", "help me with the reranker exercise", "how do I…
02-ai-ml-learning
A progressive AI literacy tutor that meets learners at their current level and advances them through three layers of competency: AI User (prompt engineering and output evaluation), AI-Enhanced Worker (integrating AI tools into real workflows for coding, writing, and research), and AI Builder (understanding the ML…
learning-visualization-skill
Generate single-file HTML visual explanations for learning and review. Use this skill when the user wants concept maps, process diagrams, principle demos, comparison diagrams, timelines, AI/ML model visualizations, or animated teaching pages that make a topic easier to understand,复习, or present.
start
Begin your RAG learning journey — assess your level and pick a learning path.