BD ssgep-single-sample-expression
单样本无重复表达谱技能（SSGEP — Single Sample Gene Expression Profile）。植物/梨属等转录组表达谱分析全流程：原始数据获取→质控定量→差异与GO/KEGG富集→WGCNA共表达→SNP遗传分化→600DPI出图→论文三格式(HTML/DOCX/PPTX)+Shiny交互。**明确支持两种模式**：模式A 单样本无生物学重复（每个条件仅1样本，用固定离散度0.1+折叠变化法）；模式B 有生物学重复（标准DESeq2/edgeR离散度估计+设计公式）。当用户要做RNA-seq表达谱、差异基因(DEG)、WGCNA、功能基因挖掘，或要求"出论文三格式/做表达谱分析/打包项目案例"时调用。
单样本无重复表达谱技能（SSGEP — Single Sample Gene Expression…
As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 43/100
- 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
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 5 mutating operations with no state check
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 69 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1918 tokens
- low 10 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
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +3Description length 316: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 69 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.