SKILLEMALL.ai

AB skill-seo

Analyze and optimize a skill for discoverability on ClawHub, skills.sh, and similar skill directories. Use when you need to improve naming, slug choice, SKILL.md descriptions, query coverage, examples, listing conversion, or search visibility before publication, while keeping the skill broadly compatible with OpenClaw, Claude Code, Codex, and Cursor.

ClawHub Agent Skills author: Weiwei Fan v0.1.0 MIT-0 6 files body ≈ 2 174 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 74/100 · Nearly there — weak spots: consistency, progress reporting

AnalyzerSoftware developmentAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
94
Run on models
none yet
Process rating
B
74/100
Nearly there
Progress reporting w 2
0
Consistency w 8
40
When it triggers w 12
50
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 · 0

    ✓ No critical or high findings

    Files scanned: 6. 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 74/100

    • 0Progress reporting. Says nothing while it works
    • 40Consistency. Frontmatter name (skill-seo) differs from the folder (skills-seo)
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Failures and branches. 5 branches
    • 100Steps. 81 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100Execution cost. Instruction body is 2174 tokens
    • 100Running it twice. Mutating operations check current state
    • low 16 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
    • low The response is described with custom markup (7 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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 352: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 81 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.

    External checks

    ClawHub: clean
    This is a focused local skill-listing SEO auditor with no evidence of hidden data access, persistence, or unsafe behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026