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 jeremylongshore/bobs-big-brain-plugin --skill brain-savegit clone --depth 1 https://github.com/jeremylongshore/bobs-big-brain-pluginWrote 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/jeremylongshore/bobs-big-brain-plugin/brain-save)<a href="https://agentmods.dev/skills/jeremylongshore/bobs-big-brain-plugin/brain-save"><img src="https://agentmods.dev/badge/skills/jeremylongshore/bobs-big-brain-plugin/brain-save/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/jeremylongshore/bobs-big-brain-plugin/brain-save"><img src="https://agentmods.dev/badge/skills/jeremylongshore/bobs-big-brain-plugin/brain-save.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 | $0.00066 | $0.02527 |
| Opus 5 | $0.00033 | $0.01264 |
| Sonnet 5 | $0.00013 | $0.00505 |
| Haiku 4.5 | $0.00007 | $0.00253 |
Grade A, and why
brain-save 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 today.
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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brain Save — write a fact into your brain (governed)
/brain reads; /brain-save writes governed memory. Use it to remember one durable fact without
recompiling a corpus or to retire a memory that is no longer true.
Overview
The brain learns in two ways: a bulk compile ingests a whole corpus at once, and /brain-save
adds (or retires) a single item on demand. Either way, governance stays in code: this skill
captures a candidate, then runs the deterministic govern step (dedupe → policy → promotion) that
decides what actually gets stored — and writes a SHA-256 hash-chained audit event for the decision. You
are proposing an item for the brain to keep; the deterministic curator owns whether and how it lands.
Why this never auto-fires
disable-model-invocation: true means Claude will not trigger this from conversation — it runs only
when you explicitly type it. Writing to your durable brain is a deliberate act, not a chat side
effect. In local mode you own the brain outright — no server, token, or role; the only gate is
that you asked. In team mode the same deliberate-act rule holds, and the server additionally
enforces your role (a member proposes; an admin governs and retires).
Prerequisites
- The
governed-second-brainplugin is installed (it auto-wires the localgoverned-brainMCP server with the capture + govern tools). - In local mode,
qmd2.x is onPATHso the govern step can refresh the search index after a promotion. If qmd is absent, capture + govern + the audit receipt still complete; only fresh-search visibility waits. Team clients do not require a local qmd installation. - Works in both modes. In local mode (default, no
TEAMKB_API_URL) all the tools below run in-process. In team mode (TEAMKB_API_URLset) the brain is governed centrally on the server: you propose withbrain_captureand the server disposes (govern runs server-side, so there is no clientbrain_govern);brain_transitionis exposed but admin-only (a member gets a clear 403);brain_statusis a connection-health probe;brain_audit_verifyis not exposed to the team client. - See the runtime contract for exact tool availability, authentication, result semantics, and safe retry behavior.
What ships with it
1 file 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.
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.
- today Changed · +13 lines · -28 tokens per session 09414cb0e6bb
- 10d ago First seen · 158 lines · 94 tokens per session scan A d057781ca276
brain-save is a skill published in the GitHub repository jeremylongshore/bobs-big-brain-plugin (2 stars, last pushed today), licensed Apache-2.0. It adds 66 tokens to every session and 2,527 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 2026-08-31.
Other skills, from other repositories
memory-recall
Search across all structured memory files. Default backend: BM25 scoring with Porter stemming and domain-aware query expansion. Optional: graph-based cross-reference boosting (--graph). Optional: vector/embedding backend (configure in mind-mem.json). Returns ranked results with block ID, type, score, excerpt, and file…
apply-proposal
Review and apply intelligence proposals generated by /scan. Uses atomic operations with rollback safety.
integrity-scan
Run the intelligence scanner to detect contradictions, drift, dead decisions, and missing cross-references across the entire memory workspace.
liquefy-archive
Background compression and vault archival for OpenClaw workspaces — auto-packs sessions, memory, and artifacts into verified .null vaults with full MRTV proofs. Blocks credential and key leaks before archiving.
liquefy-openclaw
Use this skill when working with Liquefy around OpenClaw, including plugin scan/apply flows, native hook integration, session vaulting, search/restore, policy explanation, guarded runs, context gate, replay blocking, and state/history guard workflows.
context-capsule
Compresses older OpenClaw agent session history into a bounded, lane-change-aware context capsule — keeps recent messages verbatim, flags abandoned directions, quarantines injected instructions, and redacts secrets. Local, deterministic, any model.