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okf-knowledge-base

Open Knowledge Format (OKF) v0.2 guidance. Use when creating, reading, reviewing, or maintaining an OKF bundle; responding to OpenKnowledge `okf` plugin warnings; or choosing types, provenance, links, indexes, or logs.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=inkeep-open-knowledge-packages-server-assets-skills-packs-okf-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name okf-knowledge-base description Open Knowledge Format (OKF) v0.2 guidance. Use when creating, reading, reviewing, or maintaining an OKF bundle; responding to OpenKnowledge `okf` plugin warnings; or choosing types, provenance, links, indexes, or logs. compatibility Any agent host with the OpenKnowledge MCP server configured. The optional `okf` plugin provides continuous conformance feedback. type Document metadata {"plugin":"okf","author":"Inkeep","repository":"https://github.com/inkeep/open-knowledge-skills"} Open Knowledge Format (OKF) OKF v0.2 is a portable format for agent-readable knowledge: Markdown files, YAML frontmatter, and standard links. The /open-knowledge skill governs tool use; this skill covers OKF semantics. Core rules A bundle is a directory tree of .md files. Each non-reserved file is one concept; its path without .md is its ID. Every concept needs parseable frontmatter with a non-empty string type . No other field is always required. Types are an open vocabulary. Consumers must accept unfamiliar types and metadata. Use standard Markdown links for portable relationships. Broken links and a missing index are allowed. index.md and log.md are reserved at every level. Use lowercase filenames. An index.md normally has no frontmatter; only the root index may declare okf_version: "0.2" . A log.md is newest-first; entry headings begin with an ISO date — ## YYYY-MM-DD: Summary (the summary after the date is optional; a bare ## YYYY-MM-DD is equally conformant). OKF consumers read .md , not .mdx . Authoring judgment Make each concept the smallest useful link or citation target. Choose a stable, descriptive type; Document is only a generic fallback. Do not invent facts, relationships, resources, sources, verification, or history. Missing knowledge is better than false structure. Use title , description , resource , and tags only when they add real information. Record provenance in sources . Join claim-level citations with matching sources[].id and Markdown footnotes. Keep authorship and verification separate: generated says who produced content; verified says who confirmed it. Use exact lowercase human: and process: prefixes when applicable. Write every provenance timestamp as an ISO 8601 datetime with an explicit UTC offset ( stale_after: 2026-12-31T00:00:00Z ), never a bare date and never an offsetless time. This covers generated.at , verified[].at , stale_after , sources[].last_modified , and both usage_window bounds. A log.md entry heading is different: it stays a plain YYYY-MM-DD date. Treat status: deprecated and expired stale_after values as trust signals, not validation errors. For type: Attested Computation , follow the declared runtime and parameters. Do not rewrite the sanctioned computation. Read and maintain a bundle Start with the nearest index.md , inspect frontmatter, then follow only relevant links. Prefer current, verified sources, but tolerate unknown types and incomplete links. If the bundle conflicts with an assumption, trust the bundle; if it is missing or inconsistent, say so. Write durable discoveries back to the relevant concept and authored enumerations. Add a truthful dated log.md entry after durable changes when the bundle uses a log. Read legacy timestamp and body citations, but prefer v0.2 generated.at and sources when updating a concept. Never invent provenance while migrating. OpenKnowledge's okf plugin The optional project plugin provides continuous portability feedback without blocking writes: Write-time warnings and project audits check structure, frontmatter, reserved files, links, and .mdx use. .ok/okf/*.schema.json contains the precise field contracts. Read these generated files instead of guessing; do not edit them. Deterministic lint findings establish conformance. Agent judgment still establishes whether metadata is true and useful. Optional index generation maintains index.md files. Generated indexes are machine-owned: never edit them, because OpenKnowledge replaces their contents. log.md remains authored, not generated. The plugin is off by default and each rule can be disabled. Its value is early warning when OpenKnowledge-native content would be misread by another OKF consumer.
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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