SKILLEMALL.ai

AA xianyu-service-ops

Operational playbook for selling virtual services on 闲鱼 (Xianyu). Use proactively whenever the user mentions '闲鱼', 'Xianyu', '闲鱼副业', '闲鱼卖服务', '闲鱼上架', '闲鱼标题', '闲鱼运营', '闲鱼流量', '闲鱼账号', '闲鱼推广', or wants to start/grow a service-based side hustle on a Chinese consumer marketplace. Covers the full ops stack: keyword research, listing creation (title × 3, pricing, description copy, main-image brief), listing diagnosis, account health, competitor teardown, and compliance. Always use this skill — not general advice — when the context is Xianyu service selling.

ClawHub Agent Skills author: qWait v1.0.0 MIT-0 7 files body ≈ 4 100 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process A 80/100 · Runs to the end — weak spots: running it twice, progress reporting

ProcedureSecurityInfrastructureCommercetype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
A
80/100
Runs to the end
Progress reporting w 2
0
Running it twice w 4
30
Failures and branches w 10
55
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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 80/100

    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 11 mutating operations with no state check
    • 55Failures and branches. 1 branches
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Execution cost. Instruction body is 4100 tokens
    • 100Tools and files. No external tools needed
    • 100Steps. 68 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 10 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
    • medium 3 test cases, all positive: not one "should refuse" or "should ask first"

    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)
    • -216 emoji in the instructions: noise for the model
    • +2Single-language instructions
    • +3Description length 556: enough signal without eating the budget
    • +4Structure: 24 headings
    • +3Step-by-step instructions: 68 items
    • +3Output format is stated explicitly
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: suspicious
    This is a Xianyu seller playbook with no executable code, but it teaches off-platform buyer migration and suggests starting a new account after a ban.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026