SKILLEMALL.ai

AB keyword-research

Keyword research and analysis skill for any website. Performs systematic keyword discovery, competitive gap analysis, intent classification, difficulty scoring, and priority ranking. Use when the user wants to find new keyword opportunities, analyze which keywords competitors rank for, audit existing keyword coverage, build a keyword map, or plan content around search demand. Works for any domain, language, or niche.

ClawHub Agent Skills author: meikidd v1.0.2 MIT-0 6 files body ≈ 2 491 tokens Open the sourceclawhub.ai analyzed 2 d ago

Keyword research and analysis skill for any website.

As a process B 70/100 · Nearly there — weak spots: inputs and preconditions, consistency

AnalyzerData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
B
70/100
Nearly there
Inputs and preconditions w 11
0
Consistency w 8
40
Result and completion w 14
60
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 70/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 40Consistency. Frontmatter name (keyword-research) differs from the folder (seo-keyword-research)
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 70Failures and branches. 6 branches
    • 85Steps. 37 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Execution cost. Instruction body is 2491 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress

    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 420: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 37 items
    • +3Output format is stated explicitly
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    This keyword research skill is coherent and purpose-aligned, with disclosed local profile storage and no evidence of hidden sharing or destructive behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026