SKILLEMALL.ai

AF aliyun-modelstudio-entry

Use when routing Alibaba Cloud Model Studio requests to the right local skill (Qwen text, coder, deep research, image, video, audio, search and multimodal skills). Use when the user asks for Model Studio without specifying a capability.

ClawHub Agent Skills author: cinience v1.0.0 MIT-0 4 files body ≈ 1 344 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 66/100 · Will not run — References files that are not bundled: references/*.md

ProcedureSoftware developmentInfrastructureMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
F
66/100
Will not run
References files that are not bundled: references/*.md
Tools and files w 18
0
Progress reporting w 2
0
Failures and branches w 10
55
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/*.md

Process rating: all ten parameters 66/100

Will not run. References files that are not bundled: references/*.md
  • 0Tools and files. 1 referenced file(s) missing: references/*.md
  • 0Progress reporting. Says nothing while it works
  • 55Failures and branches. 1 branches
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 24 steps
  • 100Inputs and preconditions. Inputs and preconditions are listed
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1344 tokens
  • 100Running it twice. No mutating operations
  • low 10 top-level sections: this looks like several domains in one skill
  • low The skill ranks results itself: that belongs to the system behind the tool, not the model

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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 236: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 24 items
  • +3Output format is stated explicitly
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

External checks

ClawHub: clean
This is a disclosed Alibaba Cloud Model Studio routing helper; it needs an API key and may make provider calls, but I found no hidden or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026