AC gaokao-volunteer-advisor
站在家庭一边的高考志愿决策助手。不只是算"能上哪"，更帮你判断"该不该去、去了会怎样、这笔账划不划算"。深度调查学校安全、校风、就业真相，生成完整 HTML 分析报告。当用户说高考志愿、填报志愿、选大学、选专业、冲稳保、学校怎么样、位次分析时使用。
站在家庭一边的高考志愿决策助手。不只是算"能上哪"，更帮你判断"该不该去、去了会怎样、这笔账划不划算"。深度调查学校安全、校风、就业真相，生成完整 HTML 分析报告。当用户说高考志愿、填报志愿、选大学、选专业、冲稳保、学校怎么样、位次分析时使用。
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.
For the model run — optional
- 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: 13. 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 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. 86 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1030 tokens
- 100Running it twice. No mutating operations
- low 10 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
- +1No license
- +2Single-language instructions
- +3Description length 124: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 86 items
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (1 of 8)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.
External checks
ClawHub: clean
The skill is a disclosed college-admissions advising assistant whose web research and HTML report generation fit its purpose, with a caution to verify unconfirmed safety claims.
LLM: benign (high) · VirusTotal: · 26 Jun 2026