SKILLEMALL.ai

AC ebay-lister

Turn photos of an item into a real, LIVE eBay listing — identifies the item, researches sold-comp pricing, assesses condition, fills the essential listing fields, then drives your logged-in Chrome to eBay, fills the Create-listing form (photos included), and PUBLISHES it. Triggers on `/sell`, or messages like "sell this on ebay", "list this on ebay", "make me an ebay listing", "what's this worth + list it" — especially when photos are attached. On "List it" eBay validates and the script fills any required field from the payload and retries; if it still can't satisfy a required field it falls back to saving a DRAFT (never publishes junk) and reports what's missing.

ClawHub Agent Skills author: Scott Nelson v1.0.2 MIT-0 8 files body ≈ 3 327 tokens Open the sourceclawhub.ai analyzed 3 d ago

Turn photos of an item into a real, LIVE eBay listing — identifies the item, researches sold-comp pricing, assesses condition, fills the essential listing…

As a process C 62/100 · Has gaps — weak spots: result and completion, inputs and preconditions

AnalyzerPlaywrightData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
C
62/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Tools and files w 18
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: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 62/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 60Tools and files. Uses tools (bash, python, node) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 29 steps, 1 vague phrases
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3327 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -2localhost URLs: will not work for another user
    • +2Single-language instructions
    • +5Description quotes 5 example trigger phrases
    • +3Description length 672: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 29 items
    • +4Has examples (3 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: suspicious
    The skill is upfront about making live eBay listings, but it can act on a signed-in account and run an optional shell notification command, so users should review it carefully before installing.
    LLM: suspicious (high) · 3 Aug 2026