BD gaokao-assistant
高考报名+志愿填报全能辅助智能体。精通全国各省市高考报名政策、流程、材料审核，擅长志愿填报、院校推荐、位次换算、冲稳保方案、专业就业分析。面向高三考生、家长、复读生、社会考生提供一对一专业指导。触发词：高考报名、志愿填报、高考政策、选科指导、院校推荐、专业选择、一分一段、冲稳保。
As a process D 49/100 · 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.
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: 2. 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 49/100
- 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 (gaokao-assistant) differs from the folder (gaokao-enrollment-guide)
- 100Tools and files. No external tools needed
- 100Steps. 105 steps
- 100Execution cost. Instruction body is 782 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
- +1No license
- +2Single-language instructions
- +3Description length 140: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 105 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.
External checks
ClawHub: clean
This is an instruction-only Gaokao application and school-choice guidance skill with no code, credentials, or hidden execution behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026