.claude/skills/jf-open-pro-algo-detectionRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
大模型AI智能检测。交互式引导用户明确检测场景(如明厨亮灶、安全生产、消防安全、门店巡检、周界安防),从52个免底库算法清单中推荐适配算法(不含需底库的比对类算法),支持对本地图片/图片URL/摄像头设备抓图(配合 jf-open-pro-capture 技能)调用算法分析并输出结构化检测报告。Use when the user mentions 明厨亮灶、AI检测、算法调用、图片分析、摄像头智能分析、口罩/安全帽/烟火/垃圾检测、开放平台算法、jf算法、检测服务。
These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.
These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.
.claude/skills/jf-open-pro-algo-detectionRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/jf-open-pro-algo-detectionRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/jf-open-pro-algo-detectionRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.
clawhub install @jftech/jf-open-pro-algo-detectionclawhub inspect @jftech/jf-open-pro-algo-detection --version 1.0.0This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
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sha256:96e9e47baf1967724b4a54eaa7ba20670c7ce17f64f3b8edd32270ff2599f757algorithms.jsonreference.mdscripts/jf_client.pyscripts/render_result.pyskill-card.mdSKILL.md- Initial release of jf-open-pro-algo-detection skill. - Provides interactive guidance to clarify detection scenarios, recommending appropriate algorithms from 52 non-database-required algorithm options. - Supports analyzing local images, image URLs, or camera snapshots (with jf-open-pro-capture skill) and generating structured detection reports. - Full workflow implemented: scene clarification, algorithm recommendation, user confirmation, credential check, algorithm enabling/calling, and structured result interpretation. - API calls and credential management handled exclusively via the provided Python scripts; no direct HTTP requests required. - Detailed setup and troubleshooting instructions included for both image and camera device use cases.