BC skill-discoverer
Skill Discoverer — Skill 广场发现者。自动发现 Skill 广场新上线 skill，或按工作背景智能推荐。将候选 skill 分类为工具型（直接安装）和增强型（会影响 agent 行为），对增强型提供三种处理方式：整体安装 / 内化学习（规则写入 MEMORY.md）/ 只应用无冲突部分。支持创建定时巡查任务，定期推送新 skill 日报。所有操作必须用户确认，保护已有 agent 体验不被破坏。触发词：帮我看看有没有新 skill、有没有新 skill、最近有新 skill 吗、skill 广场有什么新东西、智能推荐 skill、定时发现新 skill、每天帮我看新 skill、skill discoverer、daily skill digest。
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.
- 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: 9. 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") - note
frontmatter-keyunknown frontmatter key "triggers"
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. 29 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1837 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
- +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
- -231 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 342: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 29 items
- +4Has examples (15 code blocks)
- +4Reference files are cited in the instructions (5 of 5)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.