BD 幸福开瓶器
幸福开瓶器 — 随时撬开日常幸福感的 AI 伙伴。一句话触发，三条精准建议按星级排序。 后台画像静默生长，每月回顾幸福里程。覆盖情绪/状态、关系/礼物、幸福/日常、节假日/出行、 月度/回顾等六大触发维度，50+自然语言触发词。 【情绪/状态】心情不好、emo、躺平、焦虑、压力大 【关系/礼物】纪念日、送什么、想对TA好一点、表白 【幸福/日常】幸福开瓶器、小确幸、今天开心吗 【节假日/出行】假期、周末去哪、跨年 【月度/回顾】月度小结、幸福回顾 【行为信号】纠结、自我怀疑、低能量状态
As a process D 41/100 · Unfinished process — 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: 11. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "slug"
Process rating: all ten parameters 41/100
- 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
- 40Consistency. Frontmatter name (幸福开瓶器) differs from the folder (xingfukaipingqi)
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 100Steps. 24 steps
- 100Execution cost. Instruction body is 1326 tokens
- 100Running it twice. No mutating operations
- low 13 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
- +1No license
- +2Single-language instructions
- +3Description length 245: enough signal without eating the budget
- +4Structure: 28 headings
- +3Step-by-step instructions: 24 items
- +4Has examples (11 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.
External checks
ClawHub: suspicious
This wellness skill is not malware, but it quietly builds long-term sensitive profiles about the user and other people, so it belongs in Review before installation.
LLM: suspicious (high) · 28 May 2026