SKILLEMALL.ai

BF axis

高考志愿选择顾问。当用户询问高考报考、专业选择、院校推荐、 志愿填报策略、AI时代专业生存分析时触发。触发关键词: 高考、志愿、专业、录取、报考、选专业、填志愿、高考完了、 出分了、分数、位次、选学校、广东春考、艺考。

ClawHub Agent Skills author: Jace v2.2.1 MIT-0 2 files body ≈ 1 035 tokens Open the sourceclawhub.ai analyzed 2 d ago

高考志愿选择顾问。当用户询问高考报考、专业选择、院校推荐、 志愿填报策略、AI时代专业生存分析时触发。触发关键词: 高考、志愿、专业、录取、报考、选专业、填志愿、高考完了、 出分了、分数、位次、选学校、广东春考、艺考。

As a process F 31/100 · Will not run — References files that are not bundled: references/profile_protocol.md, references/analyze_protocol.md, references/report_protocol.md

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
100
Quality 40%
57
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: references/profile_protocol.md, references/analyze_protocol.md, references/report_protocol.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: 2. 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/profile_protocol.md
  • warning missing-ref reference to a missing file: references/analyze_protocol.md
  • warning missing-ref reference to a missing file: references/report_protocol.md
  • warning missing-ref reference to a missing file: references/snapshot_protocol.md
  • warning missing-ref reference to a missing file: references/user_state_tpl.md
  • warning missing-ref reference to a missing file: scripts/evaluator.py

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: references/profile_protocol.md, references/analyze_protocol.md, references/report_protocol.md
  • 0Tools and files. 6 referenced file(s) missing: references/profile_protocol.md, references/analyze_protocol.md, references/report_protocol.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 (axis) differs from the folder (axis-skill)
  • 100Steps. 32 steps
  • 100Execution cost. Instruction body is 1035 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)
  • +3Description length 109: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 32 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.

External checks

ClawHub: suspicious
This skill has a legitimate admissions-advising purpose, but it asks for broad shell access and persistent student-profile storage while the package only includes instructions, not the referenced safe runner or data files.
LLM: suspicious (high) · VirusTotal: · 10 Jul 2026