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 agentmods add skills/tonydzi/second-brain-starter-kit/findnpx skills add tonydzi/second-brain-starter-kit --skill findgit clone --depth 1 https://github.com/tonydzi/second-brain-starter-kitWrote 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/tonydzi/second-brain-starter-kit/find)<a href="https://agentmods.dev/skills/tonydzi/second-brain-starter-kit/find"><img src="https://agentmods.dev/badge/skills/tonydzi/second-brain-starter-kit/find.svg" alt="Measured on agentmods" 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 | $0.00088 | $0.00819 |
| Opus 5 | $0.00044 | $0.00409 |
| Sonnet 5 | $0.00018 | $0.00164 |
| Haiku 4.5 | $0.00009 | $0.00082 |
Grade A, and why
find scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/find — smart search for a name or company by SPELLING
🧒 When reporting to a non-technical operator: end with a child-simple "In plain words" recap in their language.
Deterministic, 0 tokens — NOT RAG. Embeddings do not understand mangled spellings, typos or a wrong keyboard layout; that is caught by separate code using phonetic fingerprints + fuzzy comparison. For search by MEANING use /ask, not this.
When to come here
"find Viktor" · "all the Viktors" · "find the company Merlion" · "who is " · wrong-layout gibberish / typos / transliteration — any PERSON, lead, contact or COMPANY name in any spelling.
Run (ALWAYS with PYTHONUTF8=1 — otherwise a cp1252 crash on the Windows console)
PYTHONUTF8=1 python "$IMPORTS_ROOT/namesearch/find_name.py" <name> [--html] [--all]
- by default: leads + people + companies + Apple contacts (vault note titles hidden)
--all— also include the note titles of the whole vault--html— a visual dashboard in_Dashboards\Name-Search-*.html(the operator works visually — offer it for long lists)
A name written in its native script produces a clean query; a wrong-layout or typo'd query is expanded automatically.
Neighbours
expand_query.py <word> [--grep] [--line]— expand a word into every spelling, for grepping the vault or feeding into/ask(the RAG hook).- The
names.dbindex is rebuilt by a weekly task (and manually vianame_index.py --vault). If something is missing right after a big import, mention that a rebuild is due; do not run it unasked.
The answer
- Give a list/table (display · type · file link); for a long one, the
--htmldashboard. - A company surfaces first for a company query, together with its related people.
- 0 hits → say so plainly, suggest checking the spelling or rebuilding the index; never guess.
- Keep it short; end with the 🧒 recap.
Do not confuse
/ask = by meaning (RAG, embeddings). /find = by spelling (a deterministic fingerprint). Canon memory [[smart-name-search]].
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.
- 4d ago First seen · 54 lines · 88 tokens per session scan A 2ce1a14efe76
find is a skill published in the GitHub repository tonydzi/second-brain-starter-kit (5 stars, last pushed 5d ago), licensed MIT. It adds 88 tokens to every session and 819 once invoked, about $0.0004 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
wiki-ingest
Ingest supplied source material into an Obsidian vault with provenance and claim tracking: pasted text, files staged in the selected vault's inbox or .raw archive, or explicitly approved URLs. Use for a single source or bounded batch, not for saving an assistant answer. Triggers: ingest, ingest this file, ingest this…
autoresearch
Run a bounded, source-grounded research loop, draft a cited dossier, and optionally propose a separately reviewed canonical vault merge. Use when the user wants autonomous or deep research that may access the public web. Triggers: /autoresearch, autoresearch, research this topic, deep dive into, investigate, find…
canvas
Create, inspect, and update Obsidian JSON Canvas boards with text, file, link, group, and edge nodes. Use for canvas status, canvas lists, visual maps, zones, spatial layouts, adding vault notes or media to a .canvas file, and requests such as create canvas, add to canvas, or put this on the canvas.
wiki-retrieve
Build and query a vault-local contextual BM25 retrieval index with optional multilingual Nomic cosine reranking; use for retrieve, hybrid retrieval, BM25, rerank, contextual retrieval, chunk search, vault search, semantic search, find relevant passages, or retrieval diagnostics. Derived caches stay under .vault-meta…
wiki
Initialize, adopt, and route work for a separate Obsidian knowledge vault through the portable claude-obsidian core. Use for vault setup, scaffolding, workspace selection, cross-project configuration, or choosing the correct wiki sub-skill. Triggers: /wiki, set up wiki, scaffold vault, create knowledge base, adopt…
defuddle
Plan and, with explicit network consent, use an optional external Defuddle cleaner to extract article-like HTTPS pages as Markdown. Use for defuddle, clean this URL, strip page clutter, readable Markdown from a web page, or preparing a web source for later wiki ingestion.