okp-search

okp-search is a skill for Claude Code, Codex from talesofai/okp. It costs 47 tokens per session (1,369 once invoked), scanned A, original, MIT.

A read-only search workflow for Open Knowledge Protocol, a structured collection of shared knowledge. It explains how to find domains, read their instructions, search their data, and follow related links.

In plain words
What is it for?
Finding roles, visual styles, operating instructions, social-media posts, and related concepts in Open Knowledge Protocol data.
Why use it?
It prevents agents from searching unfamiliar knowledge collections with the wrong fields or assumptions.

Skill for Claude CodeCodex

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

Good fit Finding roles, visual styles, operating instructions, social-media posts, and related concepts in Open Knowledge Protocol data.

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

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 okp-search

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

agentmods 80×15 button for okp-search

Your own site · 80×15
<a href="https://agentmods.dev/skills/talesofai/okp/okp-search"><img src="https://agentmods.dev/badge/skills/talesofai/okp/okp-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,369 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 $0.00047 $0.01369
Opus 5.5 $0.00019 $0.00548
Sonnet 5.5 $0.00009 $0.00274
Haiku 4.5 $0.00005 $0.00137

Measured 2mo ago against content hash adbc39733a54, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

okp-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 2mo 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.

skills/okp-search/SKILL.md · 148 lines

How it starts

The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.

okp-search — 知识搜索 Skill

CRITICAL — 开始前 MUST 确认 okp CLI 已安装并可连接 API:

npm install -g @markbangwu/okp
okp domains   # 确认 API 可达

何时使用

  • agent 需要查找知识(角色、画风、操作手册、社媒分享等)。
  • 回答用户问题时需要检索 Open Knowledge Protocol 中的结构化知识。
  • 遍历概念之间的关系(通过 links)。

读权限

公开 domain 对所有已认证用户可读。private domain 只对显式受邀的 reader / writer 和创建者 host 可见;全局 admin 也没有读取旁路,必须先接受邀请。 写入权限见 okp-import;本 skill 只读。

检索循环(严格按此顺序)

Step 1: 确定 domain

okp domains              # 列出所有领域
okp domains -q <keyword> # 按名称模糊找领域

返回字段:domain、concept_count、has_readme、visibility。 concept_count=0 表示已定义 README 但还没有 concept。

private domain 在未获邀请前不会出现在列表、搜索、sample、links 或 export 结果中。

Step 2: 读 domain README(必做)

每个 domain 的 README 定义了:数据是什么、有哪些 type、frontmatter 有哪些可过滤字段、怎么搜。

okp domain <domain>

禁止跳过 README 直接瞎搜。 不同 domain 的字段和用法不同,参数要以 README 为准。

Step 3: 不熟悉时先 sample

okp sample --domain <domain> --limit 5

看几条真实数据,确认 title / tags / frontmatter 长什么样,再决定怎么搜。

Step 4: 按 README 做精确搜索

根据 README 里的 schema 和 How to use,选择合适的组合:

# 列出某个 domain 的 concept(无 query 即按 domain 浏览;默认 limit 50)
okp search --domain <domain>
okp search --domain <domain> --limit 100
okp search --domain <domain> --limit 50 --offset 50

# 结构过滤(domain / type / tag 等)
okp search --domain <domain> --type <type>
okp search --domain <domain> --tag <tag>

# frontmatter 过滤(字段名以 README 为准)
okp search --domain <domain> --filter <field>=<value>
okp search --domain <domain> --filter <field>=<value> --sort date:desc

# 文本 / 语义查询
okp search "<query>" --domain <domain>
okp search "<query>" --domain <domain> --type <type>

原则:

  • 要浏览某 domain 下有哪些 concept → okp search --domain <domain>(可加 --limit / --offset 分页)
  • 知道具体实体名 → 文本查询
  • 知道结构化字段(谁发的、哪个群、哪个 wiki)→ --filter,比纯文本更准
  • 多字段可叠加,均为 AND
  • 时序类数据用 README 推荐的 --sort
  • 精确字符/子串命中优先;语义结果作为补充(实现细节对用户透明,不必在回答里展开)

Step 5: Light list → 精读

搜索和 sample 返回摘要列表(id、title、description、tags、frontmatter)。
不要直接把列表当正文用。 选 1–3 个最相关的再 get:

Read the full file on GitHub · 148 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. 2mo ago First seen · 148 lines · 47 tokens per session scan A adbc39733a54

Subscribe to this mod's changes

okp-search is a skill published in the GitHub repository talesofai/okp (5 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 1,369 once invoked, about $0.0002 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.

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