AC study-abroad-assistant
美国研究生申请助理（美国 · 理工大类：CS/EE/Data 等）— 引擎增强版专家 skill。 提供：竞争力画像、申请计划制定与执行跟踪、分层选校、文书逐段反馈、套磁草稿、报告生成。 Use when: 用户请求留学申请帮助、竞争力评估、选校、文书润色、套磁、申请计划。 Trigger: 留学申请, 美研申请, 研究生申请, 选校, 竞争力评估, 文书反馈, 套磁, 申请计划, study abroad, grad school, MS application Pricing: Free skill; 画像/文书/套磁/报告按次匿名试用（5 次/7 天），检索与计划不消耗额度 Anonymous trial: 无需 Key；本地 anon_id 匿名试用，注册后进度延续（进度合并） ⚠️ 需要留学引擎（study-abroad-engine）提供知识库/画像/计划能力；引擎不可达时降级为通用知识模式并提示。 python_version: ">=3.10" # 脚本使用 PEP 604 注解；运行前请确认解释器版本（可用 python3.13）
美国研究生申请助理（美国 · 理工大类：CS/EE/Data 等）— 引擎增强版专家 skill。 提供：竞争力画像、申请计划制定与执行跟踪、分层选校、文书逐段反馈、套磁草稿、报告生成。 Use when: 用户请求留学申请帮助、竞争力评估、选校、文书润色、套磁、申请计划。 Trigger: 留学申请, 美研申请…
As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 15. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 51/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 100Tools and files. No external tools needed
- 100Steps. 39 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1454 tokens
- low 11 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
- -5TODO / placeholder text left in the skill
- -2localhost URLs: will not work for another user
- -35 of 7 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 483: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 39 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.