SKILLEMALL.ai

AB eeat-content-quality-audit

Systematic content quality audit based on 80 CORE-EEAT standards, evaluating content's GEO (Generative Engine Optimization) and SEO (Search Engine Optimization) potential. Features 8-dimension scoring, weighted total calculation, veto item detection, and priority improvement recommendations. Applicable for pre-publication checks, competitive analysis, and AI citation potential assessment.

ClawHub Agent Skills author: yaoo-2818 v1.0.0 MIT-0 4 files body ≈ 2 917 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process B 77/100 · Nearly there — weak spots: when it triggers, progress reporting

AnalyzerMarketingInfrastructureResearchtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
B
77/100
Nearly there
Progress reporting w 2
0
When it triggers w 12
20
Result and completion w 14
60
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.
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: 4. 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")

Process rating: all ten parameters 77/100

  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Failures and branches. 4 branches
  • 100Tools and files. No external tools needed
  • 100Steps. 65 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2917 tokens
  • 100Running it twice. No mutating operations
  • 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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 391: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 65 items
  • +3Output format is stated explicitly
  • +4Has examples (9 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: clean
This is a content audit skill that reviews user-provided material and does not contain hidden execution, credential use, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026