Borrowing it
Nothing to install: this file belongs to the-sid-dani/second-brain-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/the-sid-dani/second-brain-os/main/.agents/skills/find/SKILL.mdgit clone --depth 1 https://github.com/the-sid-dani/second-brain-osWrote 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/the-sid-dani/second-brain-os/find)<a href="https://agentmods.dev/skills/the-sid-dani/second-brain-os/find"><img src="https://agentmods.dev/badge/skills/the-sid-dani/second-brain-os/find/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/the-sid-dani/second-brain-os/find"><img src="https://agentmods.dev/badge/skills/the-sid-dani/second-brain-os/find.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 | $0.00087 | $0.02498 |
| Opus 5.5 | $0.00035 | $0.00999 |
| Sonnet 5.5 | $0.00017 | $0.00500 |
| Haiku 4.5 | $0.00009 | $0.00250 |
Grade A, and why
find 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 7d 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 — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
find
Unified recall across the second brain. Default mode: ranked list of matches. Optional: synthesis pass that reads top matches and produces a citations-backed summary.
Before you begin: read the Configuration section in root CLAUDE.md. Path tokens like <workspace.resources> resolve from there — don't hardcode.
Why this exists
Without /find, recall is manual flailing across four organizational locations: Resources (research/reference/meetings), Projects (active), Archive (closed), and Memory (daily logs + curated long-form). /find unifies the search surface into one skill.
Two downstream consumers depend on this:
- Layer 3 skills (briefing, meeting-prep, etc.) — before generating "what's on your plate today", they need to ask "what existing notes are relevant?". Without a recall primitive, every Layer 3 skill reinvents search.
- The user, daily — "do I have anything on the Anthropic admin API?" should be one slash command, not a 4-step
find | grep | head | catritual.
This skill is a port of claudesidian's research-assistant adapted to our paths, frontmatter conventions, and the synthesis-with-citations pattern. The "identify contradictions" guidance from claudesidian is preserved — when sources disagree, surface it explicitly rather than silently pick one.
When to use
Trigger phrases (broad — recall is the pattern, not the literal command):
- "do I have anything on X" / "what do I have on X"
- "find my notes on X" / "search for X"
- "is there research on X" / "any research about X"
- "what did I save about X" / "what do I know about X"
- "is there a project for X" / "any project related to X"
- "what's in my notes on X" / "search my second brain for X"
- "/find X" / "/find"
Do NOT trigger for:
- Content creation — generate directly. Recall is implicit; the user will say "find" if they want it first.
- A specific known filename — Read it directly.
- Web search — use
WebSearch/WebFetch. - Code search inside a repo (
<workspace.area_apps>/<app>/or a project'sapp/) — that's a per-repo concern;/finddoesn't span gitignored code repos.
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.
- 7d ago Changed · -3 lines · -63 tokens per session f751097753cc
- 1mo ago First seen · 205 lines · 150 tokens per session scan A 139257935c88
find is a skill published in the GitHub repository the-sid-dani/second-brain-os (3 stars, last pushed 7d ago), licensed MIT. It adds 87 tokens to every session and 2,498 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
screenpipe-api
Query the user's local and synced-device data via the screenpipe REST API at localhost:3030 — recordings, audio, UI, meetings, connected services, and memory. Use for screen activity, other-device or cross-device history, productivity, media export, connections, durable memory, or discovering and automating saved…
follower-onboard
Onboard a new machine as a receive-only follower on a multi-machine agent network: it reads the shared vault, canon, skills and memory, runs nothing heavy locally (no RAG, reindex or GPU), and never receives executable hooks from the hub. Checklist-driven, with a verify step at each stage. Triggers: "/follower-onboard…
brain-onboard
An onboarding workflow that helps another person create and use their own private knowledge store, sometimes called a second brain. It gathers their information with consent, saves it in their own workspace, and demonstrates a first useful result.
memory-tidy
Tidy an agent's always-loaded memory index (MEMORY.md) on macOS or Linux: trim long lines, move closed entries to an archive, fold domains into hub files, restore dropped pins and add pointers for orphan memory files. Use when the index is over budget or has orphans. Triggers: /memory-tidy, /mt, tidy memory.
claudeai-sync
Pull new and changed claude.ai web conversations into an Obsidian vault, extract artifacts as first-class notes, concept-link them, and refresh the RAG index and dashboard. Idempotent: curated notes are never overwritten. Triggers: "/claudeai-sync", "pull claude.ai", "grab new claude.ai chats".
chat-search
Search inside past agent sessions and continue the one that matters with a single command. Uses a separate episodic session index, so raw chat noise never pollutes the curated RAG. Triggers: "/chat-search", "which chat discussed X", "did we already research X", "search old chats".