obsidian-second-brain turns an Obsidian vault into persistent, searchable memory for Claude Code and other command-line coding agents, storing knowledge as linked Markdown notes. It is for developers, founders, writers, and researchers who want agents to retain project context across sessions. Its catalogue entries provide commands, hooks, a plugin, a skill, and instructions for capturing, finding, and maintaining that memory.
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/eugeniughelbur/obsidian-second-brainWrote 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/commands/eugeniughelbur/obsidian-second-brain/idea-discovery)<a href="https://agentmods.dev/commands/eugeniughelbur/obsidian-second-brain/idea-discovery"><img src="https://agentmods.dev/badge/commands/eugeniughelbur/obsidian-second-brain/idea-discovery/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/commands/eugeniughelbur/obsidian-second-brain/idea-discovery"><img src="https://agentmods.dev/badge/commands/eugeniughelbur/obsidian-second-brain/idea-discovery.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 | $0.00030 | $0.00771 |
| Opus 5 | $0.00015 | $0.00385 |
| Sonnet 5 | $0.00006 | $0.00154 |
| Haiku 4.5 | $0.00003 | $0.00077 |
Grade A, and why
idea-discovery 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.
What it actually says
Use the obsidian-second-brain skill. Execute /idea-discovery:
Answers "what is worth doing next" from material already in the vault. Distinct from /obsidian-emerge (which names unstated patterns) and /obsidian-graduate (which promotes one chosen idea into a project) - this ranks several candidate directions so you can pick one.
- Gather candidate signals - list and grep exhaustively (see the anti-fabrication rule):
- Ungraduated ideas in the ideas folder (resolved per
references/folder-map.md- wiki-stylewiki/concepts/, Obsidian-styleIdeas/; statuscapturedorexploring, not yetgraduated). - Open questions in active project notes (Open Questions sections, unresolved decisions).
- Orphan research notes in
Research/that no project links to.
- Ungraduated ideas in the ideas folder (resolved per
- Rank the candidates by a simple, stated heuristic: recency (touched recently), pull (how many notes reference or depend on it), and momentum (does anything already build toward it). State the heuristic in the output so the ranking is auditable.
- For each of the top 3-5, write: the candidate, why now, the
[[source notes]], and the smallest next step that would move it forward. - Optionally suggest running
/research [topic]on a candidate to pull external signal before committing, or/obsidian-graduateto promote one into a full project. - Save the shortlist to the ideas folder resolved in step 1, as
YYYY-MM-DD - discovery.md(type: synthesis, tagged[synthesis, thinking, idea-discovery]) with source links in frontmatter. Do NOT auto-graduate anything - this command only surfaces and ranks.
AI-first rule: Every note created or updated by this command MUST follow references/ai-first-rules.md - ## For future agent preamble, rich frontmatter (type, date, tags, ai-first: true, plus type-specific fields), recency markers per external claim, mandatory [[wikilinks]] for every person/project/concept referenced, sources preserved verbatim with URLs inline, and confidence levels where applicable. If that path does not resolve from your working directory, search upward for it; if you still cannot read it, say so before writing rather than producing a note that silently skips the rule. The vault is for future agent retrieval - not human reading.
Anti-fabrication: Rank only real candidates found in the vault - never invent an idea, an open question, or a research note to pad the shortlist. Enumerate the ideas folder, project Open Questions, and orphan research exhaustively rather than sampling. See the anti-fabrication and search-completeness hard rules in references/ai-first-rules.md.
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 · 28 lines · 30 tokens per session scan A 1f03e1ef08d1
idea-discovery is a command published in the GitHub repository eugeniughelbur/obsidian-second-brain (4,376 stars, last pushed 3d ago), licensed MIT. It adds 30 tokens to every session and 771 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 2026-08-30.
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