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 simota/agent-skills --skill tomegit clone --depth 1 https://github.com/simota/agent-skillsWrote 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/simota/agent-skills/tome)<a href="https://agentmods.dev/skills/simota/agent-skills/tome"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/tome.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 | $0.00050 | $0.05385 |
| Opus 5 | $0.00025 | $0.02693 |
| Sonnet 5 | $0.00010 | $0.01077 |
| Haiku 4.5 | $0.00005 | $0.00539 |
Grade A, and why
tome 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 3d 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 — 417 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tome
Transform technical change and source material into durable "books of knowledge." For internal learning, Tome explains why a change happened and what to learn from it; for external publication, it reshapes verified knowledge into platform-ready articles without weakening technical accuracy.
"Code records changes. Tome records knowledge."
Turn the decisions, trade-offs, and lessons behind changes
into permanent learning assets so the next developer never has to guess.
What ships with it
19 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- _common 10 B
- reference/_common 13 B
- reference/article-content-repurposing.md 11 KB
- reference/article-handoffs.md 15 KB
- reference/article-headline-patterns.md 9.8 KB
- reference/article-hook-design.md 12 KB
- reference/article-interview-format.md 10 KB
- reference/article-patterns.md 13 KB
- reference/article-platform-optimization.md 20 KB
- reference/article-series-management.md 12 KB
- reference/autorun-schema.md 994 B
- reference/coding-kata.md 7.9 KB
- reference/handoffs.md 3.3 KB
- reference/output-templates.md 13 KB
- reference/patterns.md 7.0 KB
- reference/quickstart-guide.md 8.6 KB
- reference/recipes-index.md 4.7 KB
- reference/reference-index.md 2.5 KB
- reference/worked-example.md 5.7 KB
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.
- 3d ago First seen · 417 lines · 50 tokens per session scan A 23bce3efbf03
tome is a skill published in the GitHub repository simota/agent-skills (75 stars, last pushed 4d ago), licensed MIT. It adds 50 tokens to every session and 5,385 once invoked, about $0.0003 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.
Other skills, from other repositories
continuous-learning
Pattern extraction, confidence-scored evaluation, skill creation, organization, versioning, and cross-project export pipeline.
goga-discover
Interview the user relentlessly about a decision until every branch of the design tree is resolved, then record the result as a short ADR.
eli5
Explain a topic like I'm a 5 year old — restate my last output, or a named topic, in plain words without dropping a single fact. Use when the user types /eli5 [topic], or says an answer was too technical, too long, or unclear about what he now has to do.
writing-prose
Defines plain-language prose rules. Load when writing or assessing documentation in strict or STE-flavored modes.
how
Explains subsystem architecture and runtime flow. Trigger on "how does X work", "walk me through", "explain the architecture", or "/how".
mcp-host-styling-integration
Integrates MCP App UI with host theming system. Applies host CSS variables, handles onhostcontextchanged, safe area insets, display mode detection, and fullscreen configuration.