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 seed-forge/harness-ai-kit --skill public-nl2sql-expert-basegit clone --depth 1 https://github.com/seed-forge/harness-ai-kitWrote 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/seed-forge/harness-ai-kit/public-nl2sql-expert-base)<a href="https://agentmods.dev/skills/seed-forge/harness-ai-kit/public-nl2sql-expert-base"><img src="https://agentmods.dev/badge/skills/seed-forge/harness-ai-kit/public-nl2sql-expert-base.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 | $0.00093 | $0.00492 |
| Opus 5 | $0.00046 | $0.00246 |
| Sonnet 5 | $0.00019 | $0.00098 |
| Haiku 4.5 | $0.00009 | $0.00049 |
Grade A, and why
public-nl2sql-expert-base 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 7d 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
public-nl2sql-expert-base
知识基座：本技能不做流程编排，只提供 NL2SQL 领域的深度知识与判据，供
devlab-nl2sql-engineering等技能通过 extends 继承。
覆盖主题
| 主题 | reference |
|---|---|
| 架构与管道 | references/REFERENCE-ARCHITECTURE.md — NL2DSL2SQL 两阶段、DSL 中间表示、查询类型分类、strategy-per-type |
| 理解与抽取 | references/REFERENCE-UNDERSTANDING.md — 意图识别、知识增强检索、字段/术语映射、条件/metric/时间/实体抽取 |
| 正确性与评测 | references/REFERENCE-CORRECTNESS-EVAL.md — 多表 JOIN 推理、SQL 标准化比对、评测集组织、常见错误模式 |
使用原则
- 证据优先：以评测集正确率、EXPLAIN、日志为依据，而非拍脑袋规则。
- 区分表象与根因：修一个 badcase 要定位根因并沉淀回归用例，避免只压症状。
- 可解释可追溯：DSL 中间表示保留完整语义链路，便于审计与调试。
- 破坏性变更同步调用侧。
与其他 Skill 的关系
- 被
devlab-nl2sql-engineering通过 extends 继承（提供知识，流程由其编排）。 - 与
public-mysql-expert-base互补（后者聚焦 DB 侧 schema/索引/事务）。 - 评测细节交
devlab-eval-driven-agent。
What ships with it
6 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.
- 7d ago First seen · 29 lines · 93 tokens per session scan A 8d951b185056
public-nl2sql-expert-base is a skill published in the GitHub repository seed-forge/harness-ai-kit (22 stars, last pushed 7d ago), licensed Apache-2.0. It adds 93 tokens to every session and 492 once invoked, about $0.0005 per session on Opus 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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