SKILLEMALL.ai

AC ljh

打品工具箱主入口。三模式:任务前路由(你的问题该用哪个工具)+ 任务后导航(刚做完一个环节,下一步该干什么)+ 陪跑(带你从头走完整条打品链路)。 触发方式:/ljh、电商老家伙、「打品」、「帮我看看这个品」、「不知道下一步该干什么」、「带我从头打这个品」 Main entry point for the product-launch toolkit. Three modes: pre-task routing, post-task navigation, and a guided walkthrough across the full product-launch chain. Trigger: /ljh, "help me launch this product", "what should I do next", "walk me through this product from scratch" 不要在与电商打品无关的通用咨询上自动触发。

ClawHub Agent Skills author: HandsoMeng v1.0.0 MIT-0 2 files body ≈ 2 775 tokens Open the sourceclawhub.ai analyzed 3 d ago

打品工具箱主入口。三模式:任务前路由(你的问题该用哪个工具)+ 任务后导航(刚做完一个环节,下一步该干什么)+ 陪跑(带你从头走完整条打品链路)。 触发方式:/ljh、电商老家伙、「打品」、「帮我看看这个品」、「不知道下一步该干什么」、「带我从头打这个品」 Main entry point for the…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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: 2. 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 53/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 100Tools and files. No external tools needed
    • 100Steps. 36 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2775 tokens
    • 100Running it twice. No mutating operations
    • 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

    • +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
    • +5Description quotes 3 example trigger phrases
    • +3Description length 430: enough signal without eating the budget
    • +4Structure: 33 headings
    • +3Step-by-step instructions: 36 items
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: suspicious
    The skill is a coherent product-launch router, but it can automatically run linked workflows and persist business dossiers without clear upfront opt-in.
    LLM: suspicious (medium) · VirusTotal: · 6 Aug 2026