SKILLEMALL.ai

AD openclaw-ux-ethnographer

Privacy-first UX research ethnography for OpenClaw. Use when asked to observe OpenClaw usage over time, extract local session data and conversations, analyze behavior/workflow friction, and generate daily local-only reports with metrics, insights, anonymized evidence, and next-day research plans.

ClawHub Agent Skills author: giulianomorse v1.0.0 6 files body ≈ 1 775 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureData and analyticsDesignInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
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 · 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 49/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 7 mutating operations with no state check
    • 40Consistency. Frontmatter name (openclaw-ux-ethnographer) differs from the folder (nutcrackertestgpt)
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 100Steps. 105 steps
    • 100Failures and branches. 4 branches, has a failure section
    • 100Execution cost. Instruction body is 1775 tokens
    • low 11 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)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 297: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 105 items
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: suspicious
    This local UX research skill is not malicious, but it needs review because it can read and retain OpenClaw conversation histories more broadly than its consent prompt clearly states.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026