SKILLEMALL.ai

AF jwgl-query

Query a university jwgl/教务系统 for teacher-facing data such as 课程表 and 考试相关信息(监考/考务安排、课程考试安排、考试信息). Also manage saved school URLs and teacher credentials through natural language. Use when the user asks to 查课程表、查考试安排、查监考/考务安排、添加学校 URL,或要求从教务系统按教师/学期提取表格结果。适合 legacy iframe-heavy jwgl sites with stored local credentials.

ClawHub Agent Skills author: kaixin liu v0.2.3 MIT-0 16 files · 3 scripts body ≈ 1 903 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 50/100 · Will not run — References files that are not bundled: scripts/*.sh

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
F
50/100
Will not run
References files that are not bundled: scripts/*.sh
Tools and files w 18
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. 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: 16. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/*.sh

Process rating: all ten parameters 50/100

Will not run. References files that are not bundled: scripts/*.sh
  • 0Tools and files. 1 referenced file(s) missing: scripts/*.sh
  • 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
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 172 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1903 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)
  • -33 of 6 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 318: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 172 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (1 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

External checks

ClawHub: suspicious
This appears to be a real JWGL query skill, but it stores teacher login passwords in a local JSON file and can save authenticated page captures without enough security controls or warnings.
LLM: suspicious (high) · VirusTotal: · 29 May 2026