find

find is a skill for Claude Code, Codex from ozzy-labs/suasor. It costs 126 tokens per session (1,146 once invoked), scanned A, original, MIT.

A read-only search and research entry point for finding documents and tracing related information in imported sources. It understands Japanese requests and can either locate one item or investigate a topic more broadly.

In plain words
What is it for?
Finding files, PDFs, meeting notes, and other imported records, or researching a topic's background and current status. It cannot search sources that have not first been imported.
Why use it?
It provides one way to search across stored materials and follow related decisions, tasks, and earlier sources, without directly changing data or contacting external services.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Finding files, PDFs, meeting notes, and other imported records, or researching a topic's background and current status. It cannot search sources that have not first been imported.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ozzy-labs/suasor/find
Install

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.

Any agent
npx skills add ozzy-labs/suasor --skill find
Clone the repo
git clone --depth 1 https://github.com/ozzy-labs/suasor

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for find

README.md
[![agentmods](https://agentmods.dev/badge/skills/ozzy-labs/suasor/find/github.svg)](https://agentmods.dev/skills/ozzy-labs/suasor/find)
Your own site
<a href="https://agentmods.dev/skills/ozzy-labs/suasor/find"><img src="https://agentmods.dev/badge/skills/ozzy-labs/suasor/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.

agentmods 80×15 button for find

Your own site · 80×15
<a href="https://agentmods.dev/skills/ozzy-labs/suasor/find"><img src="https://agentmods.dev/badge/skills/ozzy-labs/suasor/find.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 126 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,146 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00126 $0.01146
Opus 5 $0.00063 $0.00573
Sonnet 5 $0.00025 $0.00229
Haiku 4.5 $0.00013 $0.00115

Measured 8d ago against content hash 619b3f4708ca, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

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 8d 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.

docs/skills/find/SKILL.md · 62 lines

What it actually says

find

検索・調査の単一入口(ADR-0046)。depth で「1 件を見つける」と「網羅的に調べる」を切り替える。read-only。

以前は find-document(探す)と research(調べる)に分かれていたが、境目はユーザーの言い方ではなくどこまで辿るかだった。

いつ発火するか

言いかた depth
「あの資料どこ」「先週共有された PDF」「<キーワード> 含むファイル」「あの議事録」 locate(既定)
<X> について調べて」「<Y> の経緯」「網羅的に教えて」「全部教えて」「あれどうなった」(対象を明示しない進捗・経緯質問) research

何をするか(MCP tool flow)

すべて read tool(ADR-0004)。

対象を明示しない「あれどうなった」は本 skill が受け、会話文脈から対象を推定して search + graph.related で現状・経緯を組み立てる(推定できなければ聞き返す)。約束を明示した「相手に頼んだ約束どうなった」だけが commitment-chase の領分。

depth=locate(既定)

  1. searchmode は既定の auto — embedding があれば hybrid、無ければ FTS。アルゴリズムを自分で選ばないADR-0046 決定 2)。sourceType / observedAfter / observedBefore で絞る
  2. hit が多すぎる / 少なすぎるときだけ mode を明示する(完全一致で絞るなら fts、語彙が違うと踏んでいるなら semantic
  3. 候補を「どこで・いつ・誰が」で識別できる形で提示する。本文全文が要るときだけ source.get

depth=research

  1. search で入口を取る(同上)
  2. graph.related で関連 entity(decision / task / 先行 source)へ 1 hop 広げる
  3. 必要なら brief(対象期間)で周辺の動きを補う
  4. sources 一覧 / 関連 entities / 経緯サマリを組み立てて返す

制約

  • read-only。persist しない
  • 外部 SaaS を直接叩かない — 取り込み済み source のみが対象(未取り込みなら <connector> sync を案内する)
  • search の応答が signal: embedding_disabled を含むときは意味検索が効いていない。語彙違いの取りこぼしがありうる旨を添える(ADR-0005
  • 結果が truncated: true なら全件ではない。窓を狭めるかページングする(ADR-0007
Changes

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.

  1. 8d ago First seen · 62 lines · 126 tokens per session scan A 619b3f4708ca

Subscribe to this mod's changes

find is a skill published in the GitHub repository ozzy-labs/suasor (0 stars, last pushed 28d ago), licensed MIT. It adds 126 tokens to every session and 1,146 once invoked, about $0.0006 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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