AC kaiji-fitness-coach
基于 free-exercise-db 的专业健身教练知识体系，覆盖训练计划、动作教学、数据分析、营养指导、进阶周期化全流程。 触发场景： - "帮我设计训练计划"、"我想健身"、"怎么增肌减脂" - "这个动作怎么做"、询问训练建议、健身相关问题 - 提供 Workout Timer App 数据报告、训练数据分析 - "我是新手怎么开始"、"调整训练计划"、"进阶方案" - 营养/饮食相关健身问题
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: 16. 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. 7 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 438 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 203: enough signal without eating the budget
- +4Structure: 4 headings
- +3Step-by-step instructions: 7 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (10 of 10)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.
External checks
ClawHub: clean
This is a fitness coaching skill with expected local setup and personalization behavior, with no evidence of hidden data exfiltration or destructive behavior outside its own exercise database folder.
LLM: benign (high) · VirusTotal: · 9 Jun 2026