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 rockyflux/yq-workflow --skill aigit clone --depth 1 https://github.com/rockyflux/yq-workflowWrote 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/rockyflux/yq-workflow/ai)<a href="https://agentmods.dev/skills/rockyflux/yq-workflow/ai"><img src="https://agentmods.dev/badge/skills/rockyflux/yq-workflow/ai.svg" alt="Measured on agentmods" 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 | $0.00045 | $0.00330 |
| Opus 5 | $0.00023 | $0.00165 |
| Sonnet 5 | $0.00009 | $0.00066 |
| Haiku 4.5 | $0.00005 | $0.00033 |
Grade A, and why
ai 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 8d 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.
This is a copy
100% identical to ai — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
丹鼎秘典 · AI/LLM 能力中枢
能力矩阵
| Skill | 定位 | 核心能力 |
|---|---|---|
| agent-dev | Agent 开发 | 多 Agent 编排、工具调用、RAG |
| llm-security | LLM 安全 | Prompt 注入、越狱防护、输出安全 |
| rag-system | RAG 系统 | 向量数据库、检索策略、重排算法 |
| prompt-and-eval | Prompt 工程与模型评估 | Few-shot、CoT、ReAct、RAGAS、LLM-as-Judge |
AI 工程原则
设计原则:
- 人机协作，AI 增强而非替代
- 可解释性优先
- 安全边界明确
- 渐进式自主
开发原则:
- Prompt 即代码，需版本控制
- 输入输出都需验证
- 成本与效果平衡
- 持续评估与迭代
What ships with it
4 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.
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.
- 8d ago First seen · 35 lines · 45 tokens per session scan A c311af51b59f
ai is a skill published in the GitHub repository rockyflux/yq-workflow (2 stars, last pushed 3mo ago), licensed MIT. It adds 45 tokens to every session and 330 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ai, differing in 0 lines, and is treated as a copy.
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