BD skill-factory
全功能技能创建与发布工具。当用户想新建、安装、发布、更新任何技能时触发。执行流程：①重叠评估→②安全检查→③创建/升级 SKILL.md→④自动发布到虾评+GitHub+ClawHub。升级版 v2.0：新增技能整合评估（与现有技能扫描重叠度，给出整合/升级/新建三分支结论）、技能安全检查（自动审计 SKILL.md 的安全风险）、一键发布集成。
全功能技能创建与发布工具。当用户想新建、安装、发布、更新任何技能时触发。执行流程：①重叠评估→②安全检查→③创建/升级 SKILL.md→④自动发布到虾评+GitHub+ClawHub。升级版 v2.0：新增技能整合评估（与现有技能扫描重叠度，给出整合/升级/新建三分支结论）、技能安全检查（自动审计…
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.
- 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 "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "agent_created" - note
frontmatter-keyunknown frontmatter key "triggers" - note
frontmatter-keyunknown frontmatter key "xiaping_trigger" - note
frontmatter-keyunknown frontmatter key "xiaping_category" - note
frontmatter-keyunknown frontmatter key "xiaping_tags"
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 (skill-factory) differs from the folder (guipi-skill-factory)
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 38 steps
- 100Execution cost. Instruction body is 1067 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
- -42 reference files, but SKILL.md never points to them: the model will not open them
- -33 of 3 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +3Description length 174: enough signal without eating the budget
- +4Structure: 22 headings
- +3Step-by-step instructions: 38 items
- +4Has examples (8 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.