SKILLEMALL.ai

BF cad-viewer

This skill should be used when the user wants to read, analyze, or work with CAD DWG/DXF drawing files. Trigger phrases include: DWG, DXF, CAD drawing, drawing analysis, layer, block, entity, screenshot, distance calculation, drawing audit, electrical diagram, distribution box, single-line diagram, or any mention of .dwg/.dxf files. This skill provides comprehensive CAD drawing analysis capabilities including reading file metadata, listing layers and entities, analyzing block definitions, calculating distances between entities, capturing screenshots of specific regions or entities, and auditing drawing compliance.

ClawHub Agent Skills author: sanshuili334-code v1.0.5 MIT-0 11 files · 2 scripts body ≈ 5 272 tokens Open the sourceclawhub.ai analyzed 2 d ago

This skill should be used when the user wants to read, analyze, or work with CAD DWG/DXF drawing files.

As a process F 60/100 · Will not run — References files that are not bundled: assets/.setup_done

AnalyzerSecurityWriting and documentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
F
60/100
Will not run
References files that are not bundled: assets/.setup_done
Tools and files w 18
0
Failures and branches w 10
50
Result and completion w 14
60
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  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: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5272 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: assets/.setup_done

Process rating: all ten parameters 60/100

Will not run. References files that are not bundled: assets/.setup_done
  • 0Tools and files. 1 referenced file(s) missing: assets/.setup_done
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 5272 tokens
  • 85Steps. 82 steps, 2 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 12 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)
  • -31 of 2 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 621: enough signal without eating the budget
  • +4Structure: 41 headings
  • +3Step-by-step instructions: 82 items
  • +3Output format is stated explicitly
  • +4Has examples (28 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
This CAD analysis skill appears legitimate in purpose, but it needs review because setup can make privileged system changes from unverified downloads and the skill tells agents to trust persistent project learning files.
LLM: suspicious (high) · VirusTotal: · 11 Sept 2026