SKILLEMALL.ai

BF college-admission-planner

高考志愿填报智能规划技能。适用于中国高考考生(含新高考省份)的志愿填报全流程,包括:分数定位与位次分析、院校专业匹配、冲稳保策略制定、信息壁垒/信息差机会挖掘(中外合作办学、外省财经院校降维录取、征求志愿捡漏、转专业通道、定向培养/专项计划、提前批特殊通道等)。当用户提及"高考志愿""志愿填报""志愿规划""高考选校""选专业""高考志愿方案""高考填报""上大学""考大学""志愿推荐""安装高考志愿规划""安装collegeplanner""安装高考志愿"等关键词时触发本技能。支持全国各省份,自动识别新高考/老高考模式。

ClawHub Agent Skills author: yibeixiaobai v0.1.0 MIT-0 4 files body ≈ 1 128 tokens Open the sourceclawhub.ai analyzed 2 d ago

高考志愿填报智能规划技能。适用于中国高考考生(含新高考省份)的志愿填报全流程,包括:分数定位与位次分析、院校专业匹配、冲稳保策略制定、信息壁垒/信息差机会挖掘(中外合作办学、外省财经院校降维录取、征求志愿捡漏、转专业通道、定向培养/专项计划、提前批特殊通道等)。当用户提及"高考志愿""志愿填报""志愿规划""高考选校…

As a process F 31/100 · Will not run — References files that are not bundled: references/special-programs.md, references/matching-strategy.md

ProcedureCustomer supporttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: references/special-programs.md, references/matching-strategy.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
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: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: references/special-programs.md
  • warning missing-ref reference to a missing file: references/matching-strategy.md

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: references/special-programs.md, references/matching-strategy.md
  • 0Tools and files. 2 referenced file(s) missing: references/special-programs.md, references/matching-strategy.md
  • 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 (college-admission-planner) differs from the folder (college-admission-plan)
  • 100Steps. 82 steps
  • 100Execution cost. Instruction body is 1128 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

  • +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
  • +5Description quotes 4 example trigger phrases
  • +3Description length 264: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 82 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: clean
This is a China Gaokao admissions-planning skill with disclosed web-research and intake steps, and no evidence of hidden code, persistence, credential use, exfiltration, or destructive behavior.
LLM: benign (high) · VirusTotal: · 26 Jun 2026