BD bioinfo-daily
每日生物信息学与肿瘤学研究进展日报生成器。使用 PubMed API 自动搜索前一天的 CNS 及 Nature Index 期刊文献，筛选生物信息学、肿瘤免疫、单细胞测序、空间转录组等领域的高影响力研究，生成包含中文亮点介绍的日报。使用场景：(1) 设置定时任务每天自动获取研究进展并发送到飞书 (2) 手动查询特定日期的最新文献 (3) 为团队生成高质量研究日报。
As a process D 41/100 · 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.
For the model run — optional
- 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: 8. 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")
Process rating: all ten parameters 41/100
- 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
- 40Consistency. Frontmatter name (bioinfo-daily) differs from the folder (bioinfo-daily-skill)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 37 steps
- 100Execution cost. Instruction body is 576 tokens
- 100Running it twice. No mutating operations
- 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
- -216 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 184: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 37 items
- +4Has examples (6 code blocks)
- +3All 3 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.
External checks
ClawHub: clean
This is a disclosed PubMed daily-report skill with normal setup risks around API keys, optional web search, and scheduled execution.
LLM: benign (high) · VirusTotal: · 29 May 2026