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/letrplb/second-brain/extractnpx skills add letrplB/second-brain --skill extractgit clone --depth 1 https://github.com/letrplB/second-brainWhat 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 | $0.00033 | $0.01078 |
| Opus 5 | $0.00016 | $0.00539 |
| Sonnet 5 | $0.00007 | $0.00216 |
| Haiku 4.5 | $0.00003 | $0.00108 |
Grade A, and why
extract 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 yesterday.
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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/extract
Intent. Mechanical claim extraction. Read a source, write atomic claim notes. Nothing else.
What this verb does NOT do
- Does not connect (no inline
[[wikilinks]]to other notes added in this step — that's/connect) - Does not audit (no quality check — that's
/audit) - Does not update MOCs (that's
/connect) - Does not move the source out of
inbox/(that's/learnif invoked, else manual)
It writes claim notes. That is all.
Behaviour
- Resolve source. If an argument is given, treat it as the source path. If no argument, list
inbox/files by mtime and process the most recent (or ask). - Read the source. Whole file, in one read, inline.
- Identify atomic claims. A claim is:
- A proposition that is true or false (not a description, not a list of topics)
- Specific enough that it could in principle be wrong
- Sourced to this text (don't extract claims the text merely cites)
- Narrow enough to fit one note (not a multi-claim summary)
- Calibrate count to source density. Hard floor: zero. Soft ceiling: model judgement. Reference numbers:
- Tweet / single short post: 0–3
- Blog essay (≤2K words): 3–8
- Long essay / chapter: 8–15
- Paper: 10–25 (rare to exceed; over-extraction is the known failure mode)
- When in doubt, fewer is better — duplicates and restatements should collapse to one claim.
- Write paper note. If no
notes/papers/<source-slug>.mdexists, create one. Frontmatter perreference/templates/paper.md. Body: ≤200 words on what the source argues + why you're processing it. - Write claim notes. For each identified claim:
- Filename:
notes/claims/<kebab-case-prose-proposition>.md. Title = filename. Prose proposition, not topic label. - Frontmatter per
reference/templates/claim.md. Mandatory:description,type: claim,confidence,source: "[[<paper-slug>]]",evidence_type,created: <today>,tags. - Body: 150–400 words. Show why the claim holds in this source (mechanism, evidence, scope conditions). Do NOT add
[[wikilinks]]to other claims yet — that's connect's job.
- Filename:
- Update paper's
claims:list. Append the new claim filenames to the paper note'sclaims:frontmatter array. - Print summary. "Extracted N claims into notes/claims/. Paper note: . Source untouched in ."
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.
- yesterday First seen · 71 lines · 33 tokens per session scan A d6aafd21ab8e
extract is a skill published in the GitHub repository letrplB/second-brain (1 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 1,078 once invoked, about $0.0002 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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