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 jessepinkman9900/claude-second-brain --skill brain-ingestgit clone --depth 1 https://github.com/jessepinkman9900/claude-second-brainWrote 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/jessepinkman9900/claude-second-brain/brain-ingest)<a href="https://agentmods.dev/skills/jessepinkman9900/claude-second-brain/brain-ingest"><img src="https://agentmods.dev/badge/skills/jessepinkman9900/claude-second-brain/brain-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/jessepinkman9900/claude-second-brain/brain-ingest"><img src="https://agentmods.dev/badge/skills/jessepinkman9900/claude-second-brain/brain-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 | $0.00074 | $0.00944 |
| Opus 5 | $0.00037 | $0.00472 |
| Sonnet 5 | $0.00015 | $0.00189 |
| Haiku 4.5 | $0.00007 | $0.00094 |
Grade A, and why
brain-ingest scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brain Ingest
Runs the full 9-step ingest workflow defined in CLAUDE.md. Do not skip steps.
Brain Discovery
All commands target the default brain registered in ~/.claude-second-brain/config.toml.
Resolve paths at call time via the claude-second-brain CLI — do not bake paths into this file:
BRAIN_PATH=$(npx -y claude-second-brain path) # absolute path to the default brain's directory
qmd commands go through the CLI proxy, which sets INDEX_PATH for you:
npx -y claude-second-brain qmd -- query -c wiki "<terms>"
Pass --brain <name> before the -- to target a non-default brain.
Inputs
- File path — a file in
raw-sources/articles/,raw-sources/pdfs/, orraw-sources/personal/ - URL — fetch and read the full content directly
- Pasted text — treat whatever the user has shared as the source
Workflow
Step 1 — Read the source
- File: use the Read tool on the provided path
- URL: fetch and read the full content
- Pasted text: treat as the source directly
Step 2 — Discuss with the user
- Summarize the source in 3–5 bullets
- Ask: what aspects matter most? Anything to emphasize or skip?
- Let the user's response shape which topics get deep treatment before proceeding
Step 3 — Create source summary page
- File:
$BRAIN_PATH/wiki/sources/[slug].md(slug = kebab-case from title) - Sections: title, author/date, one-paragraph abstract, key claims (bulleted), notable quotes (max 3), synthesis note, links to wiki pages this source touches
- Frontmatter:
type: source-summary,tags,updated: YYYY-MM-DD
Step 4 — Update wiki/index.md
- Add the new source to the Sources Ingested section: one-line description +
[[wiki/sources/slug]]link
Step 5 — Identify affected wiki pages
- Run:
npx -y claude-second-brain qmd -- query -c wiki "<source topic and key claims>" - Also Glob
$BRAIN_PATH/wiki/*.mdand$BRAIN_PATH/wiki/sources/*.mdto catch anything qmd missed - List all pages to create or update before proceeding
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.
- 10d ago First seen · 86 lines · 74 tokens per session scan A 90e413df05d9
brain-ingest is a skill published in the GitHub repository jessepinkman9900/claude-second-brain (47 stars, last pushed 4mo ago), licensed MIT. It adds 74 tokens to every session and 944 once invoked, about $0.0004 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
karpathy-llm-wiki
Use when building or maintaining a personal LLM-powered knowledge base. Triggers: ingesting sources into a wiki, querying wiki knowledge, linting wiki quality, 'add to wiki', 'what do I know about', or any mention of 'LLM wiki' or 'Karpathy wiki'.
waku-computer-use
Control local Mac apps through Waku Computer Use for tasks that require reading or operating app UI. Prefer purpose-built connectors, APIs, or CLIs when available.
kmd-ingest
The write protocol for a markdown knowledge base (Obsidian-compatible, the LLM-wiki pattern) — personal or shared. Use for EVERY write into the KB — distilling a new or scraped source, promoting a finished artifact/report/lesson into the KB, filing a durable learning, insight, or query answer, or correcting/updating…
kmd-lint
Health check for a markdown knowledge base (Obsidian-compatible, the LLM-wiki pattern) — personal or shared. Use whenever asked to lint, audit, check, review, or clean up a KB, on any scheduled hygiene/maintenance run, or when KB quality is in doubt (stale pages, contradictions, broken links, unprocessed sources…
chubbyskills
Integrate chubbyguan/chubbyskills as LLM Wiki's local multi-channel ingest pack, turning Chinese feeds, videos, podcasts, articles, and social posts into searchable Obsidian/Markdown knowledge.
x-to-obsidian
Capture high-signal X/Twitter posts into an Obsidian vault through the official Obsidian Web Clipper, then let LLM Wiki search, review, and promote the saved notes.