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/onebrain-ai/onebrain/capturenpx skills add onebrain-ai/onebrain --skill capturegit clone --depth 1 https://github.com/onebrain-ai/onebrainWhat 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 | $0.00097 | $0.01137 |
| Opus 5 | $0.00048 | $0.00568 |
| Sonnet 5 | $0.00019 | $0.00227 |
| Haiku 4.5 | $0.00010 | $0.00114 |
Grade A, and why
capture 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Capture
Quickly capture a note, idea, reference, or piece of information : with automatic linking to related notes.
Step 1: Ask What to Capture
If the user invoked /capture without content, ask:
What do you want to capture?
If they provided content after /capture [content], use that directly.
Step 2: Determine Note Type and Location
Classify the content : do not ask, infer from context:
| Type | Destination |
|---|---|
| Fleeting note / rough idea | [inbox_folder]/YYYY-MM-DD-[slug].md |
| Personal insight / synthesis | [knowledge_folder]/[best-subfolder]/[Topic Name].md |
| External reference / source | [resources_folder]/[best-subfolder]/[Topic Name].md |
| Ongoing responsibility | [areas_folder]/[best-subfolder]/[Topic Name].md |
| Project update | append to [projects_folder]/[subfolder]/[Project Name].md |
For subfolders: glob existing subfolders in the target folder and pick the best fit. If none match, create a new kebab-case name (1–2 words). Do not ask : decide and proceed.
Step 3: Find and Link Related Notes
Search for related notes (use the search tools if available, otherwise Glob [knowledge_folder]/**/*.md, [resources_folder]/**/*.md, [areas_folder]/**/*.md, [projects_folder]/**/*.md). Exclude the destination file. For search-tool results, only include candidates with rerank_score ≥ 0.30 (prefer ≥ 0.60) — drop anything below 0.30. Include top 1–3 as wikilinks automatically. Omit ## Related if nothing relevant found (or nothing clears the threshold).
Step 4: Create the Note
For inbox (fleeting note):
File: [inbox_folder]/YYYY-MM-DD-[slug].md
---
tags: [inbox]
created: YYYY-MM-DD
---
# [Title derived from content]
[Content]
## Related
[[Wikilink found in Step 3]]
[[Wikilink found in Step 3]]
For knowledge / reference / area note:
File: [target-folder]/[subfolder]/[Topic Name].md
If the file already exists, append a new section. If not, create it:
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 · 134 lines · 97 tokens per session scan A 9a4c2fb77cea
capture is a skill published in the GitHub repository onebrain-ai/onebrain (25 stars, last pushed 5d ago), licensed Apache-2.0. It adds 97 tokens to every session and 1,137 once invoked, about $0.0005 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.
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