SKILLEMALL.ai

BF skill-creator

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 16 files body ≈ 7 957 tokens Open the sourcegithub.com analyzed 2 d ago

Create new skills, modify and improve existing skills, and measure skill performance.

As a process F 53/100 · Will not run — References files that are not bundled: assets/eval_review.html

GeneratorAI and agentsData and analyticsWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
F
53/100
Will not run
References files that are not bundled: assets/eval_review.html
Tools and files w 18
0
Inputs and preconditions w 11
0
When it triggers w 12
50
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: 16. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 7957 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: assets/eval_review.html
  • note edit-residue the text marks something as outdated (lines 182): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 53/100

Will not run. References files that are not bundled: assets/eval_review.html
  • 0Tools and files. 1 referenced file(s) missing: assets/eval_review.html
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 50When it triggers. No condition that starts the skill
  • 60Steps. 76 steps, 8 vague phrases
  • 60Failures and branches. 2 branches
  • 70Execution cost. Instruction body is 7957 tokens
  • 100Result and completion. Output format and completion criterion are stated
  • 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 The response is described with custom markup (9 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)
  • -36 of 9 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 320: enough signal without eating the budget
  • +4Structure: 34 headings
  • +3Step-by-step instructions: 76 items
  • +3Output format is stated explicitly
  • +4Has examples (15 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.