SKILLEMALL.ai

BF auto-design

Auto-select and apply design systems from awesome-design-md based on project type and task context

ClawHub Agent Skills author: yuandezuohua v1.0.0 MIT-0 2 files body ≈ 2 136 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 38/100 · Will not run — References files that are not bundled: design-extractor

ReferenceInfrastructureDesigntype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
F
38/100
Will not run
References files that are not bundled: design-extractor
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. 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: design-extractor

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: design-extractor
  • 0Tools and files. 1 referenced file(s) missing: design-extractor
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 6 mutating operations with no state check
  • 40Consistency. Frontmatter name (auto-design) differs from the folder (auto-design-clawhub)
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 63 steps
  • 100Execution cost. Instruction body is 2136 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 14 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)
  • +3Description length 98: 120–800 characters recommended
  • +1No license
  • +2Single-language instructions
  • +4Structure: 35 headings
  • +3Step-by-step instructions: 63 items
  • +3Output format is stated explicitly
  • +4Has examples (16 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
This design helper is not clearly malicious, but it is always active, broadly triggered, and can fetch remote design files and write into projects without a clear confirmation gate.
LLM: suspicious (high) · VirusTotal: · 29 May 2026