SKILLEMALL.ai

AC dataify-seo-audit

Audit a public webpage or website for crawlability, indexing signals, metadata, canonical URLs, headings, structured data, and evidence-backed SEO fixes. Use for technical or on-page SEO diagnosis. Do not use for keyword-only SERP lookup, paid advertising, or guaranteed ranking claims.

ClawHub Agent Skills author: dataify-server v1.1.1 MIT-0 14 files body ≈ 972 tokens Open the sourceclawhub.ai analyzed 3 d ago

Audit a public webpage or website for crawlability, indexing signals, metadata, canonical URLs, headings, structured data, and evidence-backed SEO fixes.

As a process C 57/100 · Has gaps — weak spots: result and completion, failures and branches, progress reporting

AnalyzerMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
99
Quality 40%
89
Run on models
none yet
Process rating
C
57/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Secrets in code secret-password-literal scripts/task_runtime.py:38
      Hard-coded password / key literal (may be an example)
      api_key = api_key[7:].strip()

    Files scanned: 14. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 57/100

    • 0Result and completion. Does not say what the result is
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 19 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 972 tokens
    • 100Running it twice. No mutating operations
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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
    • +3Output format is not stated: the model decides each time
    • -36 of 7 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 286: enough signal without eating the budget
    • +4Structure: 5 headings
    • +3Step-by-step instructions: 19 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (3 of 4)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: suspicious
    The SEO audit skill is mostly coherent, but it ships under-scoped URL fetching and auxiliary scripts that can mishandle the Dataify API token.
    LLM: suspicious (medium) · 7 Sept 2026