CD health-score-pro
健康管理助手 - 基于十本畅销健康书籍共识的数据驱动健康管理系统。**快速暗号**: 健康记录、饮食分析、健康评分、周报、月报。**自然触发**: 记录饮食、查询营养、分析健康状况、补剂管理。支持多语言、多用户、时区自动识别。
健康管理助手 - 基于十本畅销健康书籍共识的数据驱动健康管理系统。快速暗号: 健康记录、饮食分析、健康评分、周报、月报。自然触发: 记录饮食、查询营养、分析健康状况、补剂管理。支持多语言、多用户、时区自动识别。
As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
ProcedureGitHubSoftware developmentWriting and documentsAI and agentstype and topics are labelled automatically from the skill text
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: 27. 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 43/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 168 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2557 tokens
- low 17 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)
- +3Description length 113: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -2113 emoji in the instructions: noise for the model
- -31 of 7 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +4Structure: 53 headings
- +3Step-by-step instructions: 168 items
- +4Has examples (31 code blocks)
- +4Reference files are cited in the instructions (6 of 7)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.
External checks
ClawHub: suspicious
This health-tracking skill is not clearly malicious, but its GitHub backup design can over-share sensitive health data and uses unsafe shell configuration handling.
LLM: suspicious (high) · VirusTotal: · 12 Sept 2026