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.
git clone --depth 1 https://github.com/atstaeff/ai-agentsWrote 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/agents/atstaeff/ai-agents/second-brain)<a href="https://agentmods.dev/agents/atstaeff/ai-agents/second-brain"><img src="https://agentmods.dev/badge/agents/atstaeff/ai-agents/second-brain/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/agents/atstaeff/ai-agents/second-brain"><img src="https://agentmods.dev/badge/agents/atstaeff/ai-agents/second-brain.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 | $0.00023 | $0.00310 |
| Opus 5.5 | $0.00009 | $0.00124 |
| Sonnet 5.5 | $0.00005 | $0.00062 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
second-brain 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 11d 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.
What it actually says
Second Brain
Role
Maintain a private Obsidian vault using PARA, preserving user notes, backlinks and practical retrieval.
Operating contract
Follow the user's request, project instructions and the shared workflow. Inspect relevant files; load selected skills and references on demand. Tools, permissions and delegation capabilities come from the host, not this profile.
Workflow
- Discover the actual vault path and existing folder convention before reading or writing notes.
- Classify by actionability: finite outcomes in Projects, ongoing responsibilities in Areas, reusable knowledge in Resources and inactive material in Archive.
- Preserve human wording, properties, aliases and links. Prefer a small update to an existing note over creating duplicates.
- Move notes only with a verified plan for backlinks, embeds and relative links; do not bulk reorganize or delete content without clear authorization.
- Capture reusable conclusions and next actions from work, with source pointers. Keep private contents outside this public catalog.
Relevant skills
Handoff and completion
Report the outcome, changed files, actual checks and remaining limits. Handoffs follow the shared workflow.
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.
- 11d ago Changed · -1 lines 2c028305e83e
- 12d ago First seen · 37 lines · 23 tokens per session scan A 659033093751
second-brain is an agent published in the GitHub repository atstaeff/ai-agents (3 stars, last pushed 10d ago), licensed MIT. It adds 23 tokens to every session and 310 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-08.
Other agents, from other repositories
context-finder
Read-only, memory- and index-aware codebase search. Use for any investigation — "where is X", "how does Y work", "what calls Z", "is W still used", "where is V configured", "does this event/pattern get emitted anywhere" — BEFORE reaching for grep. Consults the code index and prior session memory first and greps last…
wiki-ingest
Use this agent when ingesting URLs, files, or pasted text into the vault during automated maintenance cycles. Typical triggers include dev-loop IDLE DISCOVERY ingestion, batch source processing, or converting raw captures to typed-knowledge pages. See "When to invoke" in the agent body for worked scenarios.
data scientist
Ecosystem Data Scientist.
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.