AD tech-report-generator
面向新人培训的深度技术报告生成器。输入任意技术点（如 FlashAttention、MoE、LoRA、RLHF 等）， 自动产出结构化技术报告（Markdown + HTML），包含丰富的 SVG 可视化图示， 并自动同步至 IMA 知识库和腾讯文档。适用于：生成技术报告、创建培训材料、产出技术分享文档、 写技术 Tutorial、制作 Onboarding 文档。 Use when the user asks to: generate tech reports, create training materials, write tutorials, make onboarding docs, or explain technical concepts in depth with visualizations. 触发场景：技术报告、生成报告、写技术文档、技术分享、培训材料、Tutorial、Onboarding文档、 深度技术解读、原理讲解、技术科普。
As a process D 49/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches
How to improve
- 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
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 49/100
- 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. 1 mutating operations with no state check
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 100Steps. 41 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1010 tokens
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
- -43 reference files, but SKILL.md never points to them: the model will not open them
- +2Single-language instructions
- +3Description length 432: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 41 items
- +4Has examples (5 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.