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 skills add malue-ai/dazee-small --skill local-searchgit clone --depth 1 https://github.com/malue-ai/dazee-smallWrote 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/malue-ai/dazee-small/local-search)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/local-search"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/local-search/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/malue-ai/dazee-small/local-search"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/local-search.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 | $0.00034 | $0.00686 |
| Opus 5 | $0.00017 | $0.00343 |
| Sonnet 5 | $0.00007 | $0.00137 |
| Haiku 4.5 | $0.00003 | $0.00069 |
Grade A, and why
local-search 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 9d 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
本地文件搜索
在用户电脑上搜索文件内容和文件名。
使用场景
- 用户说「帮我找一下上次写的报告」「搜一下包含 XXX 的文件」
- 用户需要查找特定文件但不记得存在哪里
- 任务执行中需要定位参考文件
搜索方式
方式 1：knowledge_search 工具（内容搜索，首选）
搜索已索引知识库中的文档内容。支持 FTS5 全文搜索和语义搜索。
工具名: knowledge_search
参数:
query: 搜索查询（自然语言），必填
limit: 返回结果数量，默认 5
file_type: 过滤文件类型（如 .md, .txt, .pdf），可选
方式 2：mdfind（文件名搜索，补充）
knowledge_search 无结果时，用 macOS Spotlight 按文件名或元数据搜索。
# 按文件名搜索
mdfind -name "报告"
# 限定目录
mdfind -onlyin ~/Documents "预算"
# 限定文件类型
mdfind "kind:pdf 合同"
mdfind "kind:word 报告"
搜索策略
- 优先用 knowledge_search：覆盖已索引的知识库文件，支持内容搜索和语义匹配
- knowledge_search 无结果时用 mdfind：按文件名或元数据搜索，覆盖面更广
- 两者都无结果时：告知用户，询问是否需要将目标目录加入知识库索引
输出规范
- 展示搜索结果，包含文件路径和摘要片段
- 路径用
~简写用户目录 - 告知用户总共找到多少结果
- 结果过多时询问用户是否要进一步筛选
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.
- 9d ago First seen · 89 lines · 34 tokens per session scan A 1e491e1bbc00
local-search is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 34 tokens to every session and 686 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 2026-08-31.
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