Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/znlgis/opengis-skillsnpx agentmods add skills/znlgis/opengis-skills/aiWrote 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/znlgis/opengis-skills/ai)<a href="https://agentmods.dev/skills/znlgis/opengis-skills/ai"><img src="https://agentmods.dev/badge/skills/znlgis/opengis-skills/ai/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/znlgis/opengis-skills/ai"><img src="https://agentmods.dev/badge/skills/znlgis/opengis-skills/ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00081 | $0.01605 |
| Opus 5.5 | $0.00032 | $0.00642 |
| Sonnet 5.5 | $0.00016 | $0.00321 |
| Haiku 4.5 | $0.00008 | $0.00161 |
Grade A, and why
ai-skills 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
父级入口： ../SKILL.md — 全仓 96 技能总索引
概述
本分类涵盖 14 个 AI/LLM 开源项目的技能文件：
- LLM 应用平台：Dify（RAG + 工作流 + Agent 一站式）
- 应用框架：LangChain（LCEL + LangGraph 工具调用 Agent）、LlamaIndex（文档 RAG/索引/Workflow）
- 本地推理与模型库：Ollama（本地 LLM 运行与 OpenAI 兼容 API）、Hugging Face Transformers（模型定义、推理与微调）
- 智能体 / 助手：Hermes Agent（自学习通用智能体）、OpenClaw（多通道个人 AI 助手 Gateway）
- 终端编码代理：Pi（极简 Agent Harness）、OpenCode（模型无关、配置即代码的 AI coding agent）
- 插件式智能体框架：DeepSeek Harness（dsh，Cordis 引擎驱动的插件化 Agent Harness）
- 文件翻译：DocuTranslate（基于 LLM 的本地多格式文件翻译工具）
- 编排与方法论：Oh-My-OpenAgent（OpenCode 多模型编排插件）、Superpowers-zh（中文 AI 编程方法论 Skills）
- Agent 配置方案：My OpenCode DeepSeek Config（OpenCode × DeepSeek V4 最优纯配置）
何时加载此索引？
- 用户想「搭建 LLM 应用」「做 RAG 知识库」「开发 AI Agent」
- 不确定 Dify 和 Hermes Agent 的区别
- 需要中文优化的提示词模板
技能列表
| 技能 | 简介 | 关键标签 |
|---|---|---|
| dify | 开源 LLM 应用开发平台（RAG + 工作流 + Agent） | llm rag workflow agent |
| langchain | LLM 应用框架（LCEL + LangGraph Agent） | llm agent rag python |
| llamaindex | 私有数据 RAG/索引框架（Workflow/Agent） | llm rag indexing python |
| ollama | 本地大模型运行与推理（OpenAI 兼容 API） | llm local-inference rest-api gguf |
| huggingface-transformers | HF 模型推理与微调框架（pipeline/Trainer） | transformers pytorch nlp fine-tuning |
| hermes-agent | 自学习通用型 AI 智能体（终端优先） | agent self-improving terminal |
| openclaw | 多通道个人 AI 助手 Gateway | agent gateway assistant |
| pi | 极简可扩展终端 AI 编码代理（Agent Harness） | agent coding-agent terminal typescript |
| opencode | 模型无关的终端 AI 编码代理（配置即代码） | agent coding-agent terminal mcp |
| docutranslate | 基于 LLM 的本地多格式文件翻译工具 | llm translation pdf mcp |
| oh-my-openagent | OpenCode 多模型编排插件（Agent Harness） | agent opencode orchestration |
| superpowers-zh | 中文 AI 编程方法论 Skills 集合 | methodology chinese skill |
| deepseek-harness | DeepSeek Harness（dsh）：插件化智能体框架 | agent deepseek plugin cordis typescript |
| my-opencode-deepseek-config | OpenCode × DeepSeek V4 最优配置（12 Agent/25 Skill/缓存纪律） | opencode deepseek agent-config |
What ships with it
14 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- deepseek-harness/SKILL.md 6.3 KB
- dify/SKILL.md 9.4 KB
- docutranslate/SKILL.md 9.6 KB
- hermes-agent/SKILL.md 7.0 KB
- huggingface-transformers/SKILL.md 15 KB
- langchain/SKILL.md 18 KB
- llamaindex/SKILL.md 19 KB
- my-opencode-deepseek-config/SKILL.md 12 KB
- oh-my-openagent/SKILL.md 5.6 KB
- ollama/SKILL.md 18 KB
- openclaw/SKILL.md 7.0 KB
- opencode/SKILL.md 9.4 KB
- pi/SKILL.md 5.2 KB
- superpowers-zh/SKILL.md 6.2 KB
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.
- 11d ago Changed · +6 lines · -5 tokens per session d174c3478635
- 12d ago Changed 55ccb26ca210
- 1mo ago Changed · +3 lines · +7 tokens per session b8689887fe03
- 1mo ago Changed a0a398121d06
- 1mo ago First seen · 76 lines · 79 tokens per session scan A 25cfd3bbc77a
ai-skills is a skill published in the GitHub repository znlgis/opengis-skills (75 stars, last pushed 6d ago), licensed MIT. It adds 81 tokens to every session and 1,605 once invoked, about $0.0003 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 2026-08-30.
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