AC domain-knowledge-system
陌生领域知识系统搭建：输入任意领域名称，自动执行信息源扫描→锚点聚焦→认知地图生成→定时追踪全流程。Invoke when user asks to 搭建知识体系、快速入门一个领域、了解陌生领域、系统学习新东西.
陌生领域知识系统搭建：输入任意领域名称，自动执行信息源扫描→锚点聚焦→认知地图生成→定时追踪全流程。Invoke when user asks to 搭建知识体系、快速入门一个领域、了解陌生领域、系统学习新东西.
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
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: 4. 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 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 30 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 514 tokens
- 100Running it twice. No mutating operations
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)
- +3Description length 106: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +4Structure: 12 headings
- +3Step-by-step instructions: 30 items
- +4Has examples (2 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.
External checks
ClawHub: suspicious
This skill is a learning-plan generator, but it may also create recurring tracking tasks from broad learning prompts without enough user-control details.
LLM: suspicious (medium) · VirusTotal: · 9 Aug 2026