AD feishu-mood-music
飞书音乐心情伴侣。识别用户的情绪状态，生成匹配的治愈/陪伴音乐并发送到飞书群。 三级触发机制： (1) 显式触发（直接要歌）："来首歌"、"想听歌"、"来首应景的"、"音乐治愈"、"解压音乐"、"放首歌" (2) 半隐式触发（情绪词 + @机器人）："心情不好"、"有点累"、"好烦"、"需要放松"、"emo了"、"压力好大"、"开心"、"兴奋" (3) 全隐式触发（极端情绪词，无需@，自动送歌）："烦死了"、"无语死了"、"崩溃了"、"活不下去"、"气炸了"、"爽死了"、"太开心了"、"牛逼炸了" 当用户表达情绪状态并需要音乐陪伴时激活。
As a process D 45/100 · 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.
- 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: 4. 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 45/100
- 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
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 1 mutating operations with no state check
- 60Tools and files. Uses tools (web, python) that frontmatter does not declare
- 100Steps. 23 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1853 tokens
- 100Progress reporting. Reports progress
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
- -239 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 2 example trigger phrases
- +3Description length 272: enough signal without eating the budget
- +4Structure: 29 headings
- +3Step-by-step instructions: 23 items
- +4Has examples (13 code blocks)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.