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 agentmods add skills/opsrobot-ai/opsrobot/datamodel-gennpx skills add opsrobot-ai/opsrobot --skill datamodel-gengit clone --depth 1 https://github.com/opsrobot-ai/opsrobotWrote 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/opsrobot-ai/opsrobot/datamodel-gen)<a href="https://agentmods.dev/skills/opsrobot-ai/opsrobot/datamodel-gen"><img src="https://agentmods.dev/badge/skills/opsrobot-ai/opsrobot/datamodel-gen.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 | $0.00000 | $0.00172 |
| Opus 5 | $0.00000 | $0.00086 |
| Sonnet 5 | $0.00000 | $0.00034 |
| Haiku 4.5 | $0.00000 | $0.00017 |
Grade A, and why
datamodel-gen 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 6d 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.
What it actually says
生成三个一级标题内容：基本信息、数据字段、使用示例 1.基本信息包括： 数据名称、原始路径(OpenClaw原始数据来源)、数据内容、数据库、数据表、用途定位、应用场景， 表格形式展示 2.数据字段包括两个子标题：数据表列和JSON扩展字段
- 数据表列： 以表格形式展示该数据表的列信息，包括字段名称、字段类型、字段说明、字段示例
- JSON扩展字段： 如果列是JSON字符串，需要将JSON中的字段平铺展示出来。 格式为字字段路径、字段类型、字段说明、字段示例； 3.使用示例： 包括数据表列查询和JSON扩展字段的查询示例（使用Doris查询语法）
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.
- 6d ago First seen · 5 lines · 0 tokens per session scan A 780b894f2219
datamodel-gen is a skill published in the GitHub repository opsrobot-ai/opsrobot (135 stars, last pushed 3mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 172 tokens. 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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