菜单
Internal tool (not user-invocable). Called by meta-skill-creator as a DAG step (kind: agent) to run G3 (positive smoke) and G4 (negative smoke) gates against a candidate meta-skill SKILL.md. Cross-vendor: fixture-generation LLM != classifier LLM. Returns JSON.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/TokenRhythm/opensquilla --skill skill-creator-smoke-test命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
Query scholarly metadata and the web through Crossref, Brave, Tavily, and DuckDuckGo with a single CLI surface. Trigger when the user asks for research search, fact lookup, source discovery, or engine comparison. Results retain DOI, publication year, and authors when supplied by Crossref, then deduplicate by DOI, arXiv ID, or normalized URL. API-key engines gate themselves on the relevant environment variable; Crossref and DuckDuckGo need no key.
Deterministic OpenRouter image generation adapter for Nano Banana Pro / Gemini image models. Use as skill_exec when a meta-skill needs local image files and structured IMAGE_READY records without spawning an LLM agent.
Generate or edit a single image via OpenRouter (google/gemini-3.1-flash-image-preview by default). Accepts a text prompt and optional --input-image for image-to-image editing. Trigger when the user asks for an AI image, illustration, concept art, product render, or wants to modify an existing image.
| name | skill-creator-smoke-test |
| description | Internal tool (not user-invocable). Called by meta-skill-creator as a DAG step (kind: agent) to run G3 (positive smoke) and G4 (negative smoke) gates against a candidate meta-skill SKILL.md. Cross-vendor: fixture-generation LLM != classifier LLM. Returns JSON. |
| description_zh | 内部工具（不可由用户直接调用）。由meta-skill-creator作为DAG步骤（kind: agent）调用，针对候选元技能SKILL.md运行G3（正向冒烟）和G4（负向冒烟）闸门。跨厂商：fixture生成LLM≠分类器LLM。返回JSON。 |
| user-invocable | false |
| disable-model-invocation | true |
| provenance | {"origin":"opensquilla-original","license":"Apache-2.0"} |
When invoked as a kind: agent, skill: skill-creator-smoke-test step, this sub-agent:
skill_md, fixture_gen_model, classifier_model from the parent step's with:simulate_meta_resolution with a positive fixture (LLM-generated using fixture_gen_model)simulate_meta_resolution with a negative fixture (LLM-generated, cross-domain){"G3": {...}, "G4": {...}} JSONIf OPENROUTER_API_KEY is absent OR either fixture_gen_model/classifier_model is unconfigured, the sub-agent falls back to the deterministic fixture generator and pins classifier_model="stub". In both cases the smoke step still emits G3/G4 records, but with a degraded: true flag.
If the sub-agent fails entirely, output {"G3": {"passed": false, "reason": "smoke unavailable"}, "G4": {"passed": false, "reason": "smoke unavailable"}}.