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 Ritik-Sharma1/lnm-brain-public --skill second-brain-autogit clone --depth 1 https://github.com/Ritik-Sharma1/lnm-brain-publicWrote 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/ritik-sharma1/lnm-brain-public/second-brain-auto)<a href="https://agentmods.dev/skills/ritik-sharma1/lnm-brain-public/second-brain-auto"><img src="https://agentmods.dev/badge/skills/ritik-sharma1/lnm-brain-public/second-brain-auto/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/ritik-sharma1/lnm-brain-public/second-brain-auto"><img src="https://agentmods.dev/badge/skills/ritik-sharma1/lnm-brain-public/second-brain-auto.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 | $0.00050 | $0.00684 |
| Opus 5 | $0.00025 | $0.00342 |
| Sonnet 5 | $0.00010 | $0.00137 |
| Haiku 4.5 | $0.00005 | $0.00068 |
Grade A, and why
second-brain-auto 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.
Second Brain Auto Layer
Use this skill as the default memory layer for meaningful Codex work when the second-brain MCP tools are available.
This plugin is intentionally isolated. It does not change the repository root's AGENTS.md, CLAUDE.md, or other tool integrations.
Default behavior
- Before meaningful work, identify the main topic and call
query_second_brain. - If keyword retrieval is thin, ambiguous, or concept-heavy, call
semantic_search. - Use the returned wiki pages as primary context.
- If fresher repo state or web facts conflict with the brain, say so explicitly and prefer the fresher source.
- Near the end of a meaningful task, call
ingest_to_second_brainonce with a short title, durable content,type: "conversation", tags, and entities. - Use
capture_to_second_brainonly for quick save cases where a full ingest is unnecessary.
Skip conditions
Skip Second Brain calls when any of the following are true:
- the user is only greeting, acknowledging, or making small talk
- the request is a trivial ephemeral lookup with no durable value
- the user explicitly asks not to use the Second Brain for the task
- a duplicate ingest would add noise without new durable information
Query heuristics
- Use short topic phrases, not the entire user prompt.
- Prefer project names, bug names, feature names, repo names, and concrete entities.
- Start with one focused query, then broaden only if needed.
- Prefer compressed wiki context over re-reading raw history.
Ingest heuristics
title: short slug-like task summarycontent: durable decisions, outputs, constraints, code changes, findings, and open questionstype:conversationtags: 2 to 6 stable tagsentities: people, tools, projects, files, or components that matter later- Ingest once near the end of the meaningful turn, not after every tiny action
Required tools
This skill assumes these MCP tools are already available globally:
query_second_brainsemantic_searchingest_to_second_braincapture_to_second_brainread_second_brain_fileget_second_brain_graphwrite_second_brain_filelint_second_brain
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 · 50 tokens per session scan A 513be6748bf2
second-brain-auto is a skill published in the GitHub repository Ritik-Sharma1/lnm-brain-public (0 stars, last pushed 3d ago), licensed MIT. It adds 50 tokens to every session and 684 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.
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