bio-task-system — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited bio-task-system (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Step 2: Task system design (任务体系构建)
Identify the main task categories in the field and organize them into a staged difficulty ladder.
topic: [research topic]
paper_count: [number of related papers from Step 1]If there is substantial prior work, extract tasks from existing papers.
If there is not enough prior work, borrow the taxonomy from a parent domain and adapt it.
Typical adaptation logic:
Define four levels:
Increase across three dimensions:
For each task, write:
# Task System Design
## Task Sources
- Extracted from related papers:
- Borrowed from parent domain:
## Tier Overview
| Level | Task type | Difficulty | Figure |
|-------|-----------|------------|--------|
| 1 | ... | low | Figure 2 |
| 2 | ... | medium | Figure 3 |
| 3 | ... | high | Figure 4 |
| 4 | ... | highest | Figure 5 |
## Detailed Task Descriptions
### Task 1: [task name]
- Definition:
- Difficulty:
- Data requirements:
- Technical focus:
- Biological value:
- Representative methods:
- Mapped figure:
### Task 2: ...
## Progression Rationale
1. Data complexity rises across tasks
2. Technical difficulty rises across tasks
3. Biological value rises across tasks
## Next Step
- Use the task system to search for datasets in Step 3/bio-task-system "spatial multi-omics integration | paper_count: 5"~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.