BC skill-contest-prep
面向职业院校技能大赛的全流程备赛AI助手。覆盖赛前项目方向生成、PPT大纲策划、 展示剧本编排、训练计划制定四大模块。当用户提到技能大赛、备赛、参赛准备、 训练计划、PPT答辩、展示剧本、竞赛指导、选拔选手等关键词时触发。 适用于人工智能应用、数字艺术设计、软件开发、工业互联网、智能制造、 电商运营等各类赛项，以及双创竞赛、挑战杯等综合类赛事。
面向职业院校技能大赛的全流程备赛AI助手。覆盖赛前项目方向生成、PPT大纲策划、 展示剧本编排、训练计划制定四大模块。当用户提到技能大赛、备赛、参赛准备、 训练计划、PPT答辩、展示剧本、竞赛指导、选拔选手等关键词时触发。 适用于人工智能应用、数字艺术设计、软件开发、工业互联网、智能制造、…
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 · 4
✓ No critical or high findings
Medium and low: 4
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low Secrets in code
secret-high-entropy-tokenscripts/call-dify-workflow.md:37High-entropy token-like string (may be an id, hash or a credential)| 01 | 技能大赛_01_项目方向生成 | app-…Rod |
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low Secrets in code
secret-high-entropy-tokenscripts/call-dify-workflow.md:38High-entropy token-like string (may be an id, hash or a credential)| 02 | 技能大赛_02_PPT大纲生成 | app-…djZ |
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low Secrets in code
secret-high-entropy-tokenscripts/call-dify-workflow.md:39High-entropy token-like string (may be an id, hash or a credential)| 03 | 技能大赛_03_展示剧本生成 | app-…YSS |
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low Secrets in code
secret-high-entropy-tokenscripts/call-dify-workflow.md:40High-entropy token-like string (may be an id, hash or a credential)| 04 | 技能大赛_04_知识点训练计划生成 | app-…sho |
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") - note
frontmatter-keyunknown frontmatter key "trigger_keywords"
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. 65 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1293 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
- -43 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +3Description length 173: enough signal without eating the budget
- +4Structure: 31 headings
- +3Step-by-step instructions: 65 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.