SKILLEMALL.ai

AC high-eq-communication

High-EQ Communication Learning Toolkit — Educational resource on Nonviolent Communication (NVC), Guiguzi strategy, Sun Tzu principles, and Cialdini's ethical influence frameworks. For personal growth, self-awareness, and understanding communication dynamics. Supports 11 languages. 高情商沟通学习工具包——非暴力沟通(NVC)、鬼谷子谋略、孙子兵法、西奥迪尼伦理影响力框架的教育资源。用于个人成长、自我觉察和沟通理解。支持11种语言。 高EQコミュニケーション学習ツールキット——NVC、鬼谷子戦略、孫子の兵法、チャルディーニ倫理的影響力フレームワークの教育リソース。個人の成長と自己理解のため。 When users mention: NVC, nonviolent communication, Guiguzi, 鬼谷子, Cialdini, 高情商沟通, nonviolent, 非暴力沟通.

ClawHub Agent Skills author: ikplpeter v2.1.0 MIT-0 6 files body ≈ 1 672 tokens Open the sourceclawhub.ai analyzed 2 d ago

High-EQ Communication Learning Toolkit — Educational resource on Nonviolent Communication (NVC), Guiguzi strategy, Sun Tzu principles, and Cialdini's ethical…

As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureSales and CRMAI and agentsMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
C
54/100
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: 6. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "keywords"

    Process rating: all ten parameters 54/100

    • 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
    • 30Running it twice. 2 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 100Tools and files. No external tools needed
    • 100Steps. 17 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1672 tokens

    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 540: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 17 items
    • +4Has examples (1 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: clean
    This is a local educational communication toolkit with persuasion-related lessons, but it is clearly framed with ethics guardrails and shows no hidden access or unsafe automation.
    LLM: benign (high) · VirusTotal: · 17 Jun 2026