SKILLEMALL.ai

AC ljh-koc

KOC 验证方案设计与验证报告生成。还没铺就帮你设计验证方案,跑完了就帮你判定结果并出报告。 触发方式:/ljh-koc、「帮我设计一个 KOC 验证方案」「KOC 数据跑完了帮我出个报告」「这个卖点该怎么验」 KOC validation plan design and validation report generation. Design a plan before launch, judge results and write a report after data comes in. Trigger: /ljh-koc, "help me design a KOC validation plan", "help me write a validation report from this data" 明星代言合作方案、品牌公关声明这类非KOC小范围验证场景,不要自动触发。

ClawHub Agent Skills author: HandsoMeng v1.0.0 MIT-0 2 files body ≈ 1 873 tokens Open the sourceclawhub.ai analyzed 3 d ago

KOC 验证方案设计与验证报告生成。还没铺就帮你设计验证方案,跑完了就帮你判定结果并出报告。 触发方式:/ljh-koc、「帮我设计一个 KOC 验证方案」「KOC 数据跑完了帮我出个报告」「这个卖点该怎么验」 KOC validation plan design and validation report…

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

AnalyzerData 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
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

    • note frontmatter-key unknown frontmatter key "displayName"
    • note frontmatter-key unknown frontmatter key "slug"

    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. 53 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1873 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 2 example trigger phrases
    • +3Description length 396: enough signal without eating the budget
    • +4Structure: 26 headings
    • +3Step-by-step instructions: 53 items
    • +4Has examples (1 code blocks)

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

    External checks

    ClawHub: suspicious
    This skill should be reviewed because it goes beyond KOC report guidance by writing persistent local files and advertising personal WeChat contacts.
    LLM: suspicious (high) · VirusTotal: · 6 Aug 2026