SKILLEMALL.ai

AB humanize-skill

Rewrite AI-looking drafts in the user's voice, using local samples when available, audience/cognition analysis when useful, then check factual claims against evidence before finalizing.

ClawHub Agent Skills author: fendouai v1.0.2 MIT-0 67 files body ≈ 7 349 tokens Open the sourceclawhub.ai analyzed 19 h ago

Rewrite AI-looking drafts in the user's voice, using local samples when available, audience/cognition analysis when useful, then check factual claims against…

As a process B 79/100 · Nearly there — weak spots: progress reporting

GeneratorSlackGmailMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
B
79/100
Nearly there
Progress reporting w 2
0
When it triggers w 12
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.
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: 66. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 7349 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 79/100

  • 0Progress reporting. Says nothing while it works
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 70Failures and branches. 18 branches
  • 70Execution cost. Instruction body is 7349 tokens
  • 85Steps. 157 steps, 1 vague phrases
  • 100Tools and files. Tools declared in frontmatter
  • 100Inputs and preconditions. Inputs and preconditions are listed
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • low 12 top-level sections: this looks like several domains in one skill
  • high The skill tells the model to perform an irreversible action with no human approval

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)
  • +2Single-language instructions
  • +3Description length 185: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 157 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (7 of 9)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

External checks

ClawHub: clean
This is a disclosed writing-editing skill that reads user-provided text or chosen samples, rewrites drafts, and fact-checks claims without hidden persistence or automatic account access.
LLM: benign (high) · VirusTotal: · 24 Jul 2026