BF weight-management-v2
减肥项目管理与数据分析（升级版 v2.0）。支持通用用户名格式 U{用户 ID}-{用户名}-YYYY-MM.md，修复口头归档问题，增加数据完整性自动检查，热量识别与估算，趋势分析与建议。触发词：减肥、体重、饮食记录、步数、睡眠、今天吃了、早餐、午餐、晚餐、运动、减肥进度、检查数据。
As a process F 31/100 · Will not run — References files that are not bundled: references/exercise-calories.md, references/health-standards.md, references/validation-rules.md
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
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: 7. 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") - warning
missing-refreference to a missing file: references/exercise-calories.md - warning
missing-refreference to a missing file: references/health-standards.md - warning
missing-refreference to a missing file: references/validation-rules.md
Process rating: all ten parameters 31/100
Will not run. References files that are not bundled: references/exercise-calories.md, references/health-standards.md, references/validation-rules.md
- 0Tools and files. 3 referenced file(s) missing: references/exercise-calories.md, references/health-standards.md, references/validation-rules.md
- 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
- 40Consistency. Frontmatter name (weight-management-v2) differs from the folder (weight-management)
- 100Steps. 61 steps
- 100Execution cost. Instruction body is 1258 tokens
- 100Running it twice. No mutating operations
- low 10 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)
- +3Output format is not stated: the model decides each time
- -221 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 143: enough signal without eating the budget
- +4Structure: 25 headings
- +3Step-by-step instructions: 61 items
- +4Has examples (13 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.
External checks
ClawHub: clean
This weight-management skill stores health tracking data locally with disclosed permissions and no evidence of hidden network, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026