AF jf-open-pro-algo-detection
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。
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…
As a process F 39/100 · Will not run — References files that are not bundled: 路径
How to improve
- The text references files that are not there: add them or drop the references.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: 路径
Process rating: all ten parameters 39/100
- 0Tools and files. 1 referenced file(s) missing: 路径
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 3 mutating operations with no state check
- 70When it triggers. States when to use, but not when not to
- 100Steps. 42 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2023 tokens
- low 12 top-level sections: this looks like several domains in one skill
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -4Absolute local paths (C:\Users, /home/…): not portable
- +1No license
- +2Single-language instructions
- +3Description length 235: enough signal without eating the budget
- +4Structure: 30 headings
- +3Step-by-step instructions: 42 items
- +4Has examples (11 code blocks)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.