AC psychology-experiment-planner
心理学实验规划与数据收集预检查助手。在用户开始实验收数据之前使用，帮助用户：厘清研究设计、规划测量变量、推荐数据收集方式、设计预实验或前测、预估所需样本量、生成数据收集清单。触发场景包括："我要做一个研究"、"帮我规划一下"、"收数据前要准备什么"、"实验设计"、"研究设计"、"论文开题"、"我要开始收数据了"、"需要收什么数据"等。
As a process C 53/100 · Has gaps — 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: 6. 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 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. 59 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 601 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 5 example trigger phrases
- +3Description length 168: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 59 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.
External checks
ClawHub: clean
This is a low-risk guidance skill for planning psychology experiments, with the main caveat that its activation phrases are broader than necessary.
LLM: benign (high) · VirusTotal: · 29 May 2026