SKILLEMALL.ai

BF lmp-label-generator

Generate professional labels in LMP format from natural language descriptions. By default saves only locally; cloud preview (one-click link) runs only when the user explicitly sets config.apiEndpoint — no data is sent externally unless configured.

ClawHub Agent Skills author: lams001 v1.5.5 MIT-0 9 files body ≈ 6 173 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 59/100 · Will not run — References files that are not bundled: data.openUrl, references/examples/*.json

GeneratorInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
61
Run on models
none yet
Process rating
F
59/100
Will not run
References files that are not bundled: data.openUrl, references/examples/*.json
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
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: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6173 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: data.openUrl
  • warning missing-ref reference to a missing file: references/examples/*.json
  • note frontmatter-key unknown frontmatter key "triggers"
  • note frontmatter-key unknown frontmatter key "tools"
  • note frontmatter-key unknown frontmatter key "config"

Process rating: all ten parameters 59/100

Will not run. References files that are not bundled: data.openUrl, references/examples/*.json
  • 0Tools and files. 2 referenced file(s) missing: data.openUrl, references/examples/*.json
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 4 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 6173 tokens
  • 100Steps. 76 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 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
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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)
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +3Description length 247: enough signal without eating the budget
  • +4Structure: 35 headings
  • +3Step-by-step instructions: 76 items
  • +3Output format is stated explicitly
  • +4Has examples (16 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

External checks

ClawHub: clean
This instruction-only skill is coherent for generating label files locally, with an optional disclosed cloud preview that sends label content only when the user configures an endpoint.
LLM: benign (high) · VirusTotal: · 29 May 2026