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 chicken-noodle-chris/tome --skill ingestgit clone --depth 1 https://github.com/chicken-noodle-chris/tomeWrote 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/chicken-noodle-chris/tome/ingest)<a href="https://agentmods.dev/skills/chicken-noodle-chris/tome/ingest"><img src="https://agentmods.dev/badge/skills/chicken-noodle-chris/tome/ingest/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/chicken-noodle-chris/tome/ingest"><img src="https://agentmods.dev/badge/skills/chicken-noodle-chris/tome/ingest.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 | $0.00024 | $0.01039 |
| Opus 5 | $0.00012 | $0.00519 |
| Sonnet 5 | $0.00005 | $0.00208 |
| Haiku 4.5 | $0.00002 | $0.00104 |
Grade A, and why
ingest scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Optional input: a source (a file, a URL, or something already in raw/) and optionally which project it belongs to.
Conventions live in wiki/SCHEMA.md and conventions.toml; scripts/tome.py (tome help)
scaffolds pages and keeps the index in sync — lean on it rather than hand-authoring frontmatter.
tome is on PATH in Bash (the plugin's SessionStart hook puts it there) — just run
tome <cmd>; if it's ever not found, fall back to python "$TOME_PLUGIN_ROOT/scripts/tome.py" <cmd>. It resolves which vault to act on via --vault
/ walking up from cwd / VAULT_ROOT, and bare paths like raw/ are relative to the vault
root, not the plugin root.
-
Prime yourself. Run
tome syncto pull, then readwiki/SCHEMA.mdif you haven't this session — it overrides anything below. Confirm which project the source belongs to (wiki/<project>/); ask if unclear. -
Place the raw source. If it isn't already in
raw/, save it there under a slugified filename — that slug becomes the source page's slug.raw/is immutable: never hand-edit a file there once placed; a correction is a new capture, not an in-place fix. -
Read the source. Short sources: read in full. Long ones (papers, chapters, transcripts): chunk-read — map the structure via headers/TOC first, then read sections sequentially, summarizing each before moving on. Don't load a source that would eat more than ~25% of your context window in one pass. For images, read the surrounding text first and only view figures the text treats as load-bearing.
-
Survey what's touched. Read
wiki/index.md(or the project's shard) to find existing pages this source overlaps — entities, concepts, prior sources on the same topic. Read candidates in full to confirm real overlap; the index summary alone can mislead. This pass is what prevents duplicate pages. -
Discuss briefly. Three or four sentences on what struck you, what's surprising, what connects to existing pages, what's worth flagging — unless the user is doing a hands-off batch ingest, in which case skip the chat but be more conservative with edits and surface surprises in the log instead.
-
Write the source page.
tome new source <slug> --project <name> --title "T" --desc "..."to scaffold, then write the body: key claims, methodology if relevant, conclusions, open questions — a synthesis, not a paraphrase. Cite the raw file (raw/<file>) and link touched pages with[[wikilinks]]. Keep it under the soft cap; split into linked pages if the source is too dense for one. -
Update touched pages, surgically. Edit in place, don't rewrite — add a sentence or section with a
[[wikilink]]citation to the new source page. A contradiction gets flagged explicitly (both sources cited), never silently overwritten. A page that crosses the size cap during this edit gets split now, not deferred to lint. -
Create new pages only for real first-class topics. An entity or concept the source treats substantively and future sources will likely build on. Passing mentions go inline on a related page instead. Every new page needs at least one inbound
[[wikilink]]from an existing page — an unlinked new page is a bug in the ingest, not a lint finding for later. -
Refresh the index, log, and sync.
tome describe <slug> "..."for any page whose summary changed (new pages get their scaffold description; adjust if the body diverged).tome log ingest "<source title> — <what changed>", thentome sync -m "...". -
Close the loop. Tell the user what happened — pages created, pages updated, contradictions flagged — in a sentence or two. If the source raised an obvious follow-up, say so.
Anti-patterns: loading a large source whole; rewriting a page instead of editing it surgically; creating an orphaned page; batch-ingesting silently with no summary; trusting a wiki page's paraphrase over the raw source when merging a correction.
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.
- 12d ago First seen · 67 lines · 24 tokens per session scan A 71a601c3e62b
ingest is a skill published in the GitHub repository chicken-noodle-chris/tome (6 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 1,039 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 2026-08-31.
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