everythingsearch-local

everythingsearch-local is a skill for Claude Code, Codex from jiggersong/everythingsearch. It costs 104 tokens per session (3,255 once invoked), scanned A, original, MIT.

A local document-search service that combines keyword matching with meaning-based search. It can search indexed files, interpret results, and read or download matching documents through a local HTTP service, which is a program accessed through web-style requests on the same computer.

In plain words
What is it for?
Use it to search local files, run natural-language queries, interpret a result list, read or download matching documents, and open a result in Finder when the local service and its index are available.
Why use it?
It helps find documents by exact words or by describing what you are looking for instead of browsing folders manually. If the optional language-model service is unavailable, direct local search can still be used.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to search local files, run natural-language queries, interpret a result list, read or download matching documents, and open a result in Finder when the local service and its index are available.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jiggersong/everythingsearch/everythingsearch-local
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 jiggersong/everythingsearch --skill everythingsearch-local
Clone the repo
git clone --depth 1 https://github.com/jiggersong/everythingsearch

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 everythingsearch-local

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/jiggersong/everythingsearch/everythingsearch-local"><img src="https://agentmods.dev/badge/skills/jiggersong/everythingsearch/everythingsearch-local.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,255 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 2 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 $0.00104 $0.03255
Opus 5 $0.00052 $0.01628
Sonnet 5 $0.00021 $0.00651
Haiku 4.5 $0.00010 $0.00326

Measured 9d ago against content hash 2e16c29c68fa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

everythingsearch-local scanned grade A with 2 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -sG "$BASE/api/search" \

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

subprocess.run(["open", filepath], check=True)
skills/everythingsearch-local/SKILL.md · 245 lines

How it starts

The opening of the file, as written. The whole thing — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.

EverythingSearch 本地 API(Skills)

本 Skill 指导 Agent 通过 本机已启动的 EverythingSearch HTTP 服务(默认 http://127.0.0.1:8000)完成:

  • 直接搜索GET /api/search(向量 + 关键词混合,不经过大模型)
  • 自然语言搜索POST /api/search/nl(DashScope 意图识别 → 结构化检索,可触发「精确优先」路径)
  • 搜索结果智能解读POST /api/search/interpret/api/search/interpret/stream(基于当前结果列表的短总结)
  • 读文本 / 下载 / 在 Finder 中揭示 等与历史一致的能力

设计细节与 Web 行为见仓库内 docs/NL_SEARCH_AND_WEB_UI.md;完整路由与配置见 docs/PROJECT_MANUAL.md 第 4.6 节。

前置条件

  1. 用户已在本机运行搜索服务(例如 ./scripts/run_app.sh start)。
  2. 若连接失败,提示用户先启动服务并确认 config.py 中的 HOST / PORT(多实例安装可查看 scripts/.launchd_instance 中的 APP_PORT)。
  3. 非本机访问时由用户提供完整服务基址(须带 scheme,例如 http://192.168.1.10:8000)。
BASE="http://127.0.0.1:8000"   # 按 config.HOST / config.PORT 或用户给出的 URL 调整

智能能力对 DashScope API Key 的依赖

  • GET /api/search:不调用生成式模型;仅需本地向量库已构建(嵌入阶段仍需要 Key 建索引)。
  • POST /api/search/nl/api/search/interpret*:服务端需在 config.py 配置 MY_API_KEY。未配置时这些接口会返回业务错误(如 MISSING_API_KEY),Agent 应退化为 GET /api/search 完成检索。
  • 意图识别与解读会访问外网模型服务;默认限流见配置 RATE_LIMIT_NL_PER_MINRATE_LIMIT_INTERPRET_PER_MIN(常见默认各约每分钟每 IP 10 次,以 everythingsearch/infra/settings.py 为准)。

1. 直接搜索(混合检索,无大模型)

语义与关键词混合检索;结果中 preview 为围绕命中的短片段。

RESULT_JSON="$(mktemp /tmp/essearch.XXXXXX.json)"
printf '%s\n' "$RESULT_JSON"
curl -sG "$BASE/api/search" \
  --data-urlencode "q=你的关键词或短句" \
  --data-urlencode "source=all" \
  --data-urlencode "limit=30" \
  -o "$RESULT_JSON"

可选查询参数(与校验逻辑一致时):date_fieldmtime|ctime)、date_fromdate_tolimit(1~200)。

  • source: all | file | mweb(若实例关闭 MWeb,勿用 mweb)。
  • 注意GET /api/search 没有 exact_focus 参数;「精确优先」检索仅由下面的 NL 路径在解析出 exact_focus 后触发。

响应 JSON:results[]filename, filepath, preview, relevance, tag(如「语义匹配」「精确匹配」), mtime, source_type 等;另有 query 字段。

2. 自然语言搜索(意图 → 检索)

将用户整句自然语言交给模型解析为结构化检索参数(核心检索词 slots.q、来源、时间、match_mode 等),再执行与 Web 相同的搜索管线。

RESULT_JSON="$(mktemp /tmp/essearch-nl.XXXXXX.json)"
printf '%s\n' "$RESULT_JSON"
curl -s -X POST "$BASE/api/search/nl" \
  -H "Content-Type: application/json" \
  -d '{
    "message": "帮我找去年关于预算的 excel",
    "sidebar_source": "all",
    "date_field": "mtime",
    "date_from": null,
    "date_to": null,
    "limit": 30
  }' \
  -o "$RESULT_JSON"

Read the full file on GitHub · 245 lines

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. 9d ago First seen · 245 lines · 104 tokens per session scan A 2e16c29c68fa

Subscribe to this mod's changes

everythingsearch-local is a skill published in the GitHub repository jiggersong/everythingsearch (5 stars, last pushed 23d ago), licensed MIT. It adds 104 tokens to every session and 3,255 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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