SKILLEMALL.ai

AC human-3-life-planner

Conduct adaptive HUMAN 3.0 life development assessments in Chinese. Guide users through sequential interviews across four life quadrants (Mind, Body, Spirit, Vocation) to determine consciousness levels, identify Metatype and Lifestyle Archetype, detect false transformations, assess Glitch readiness, and generate structured Chinese-language development reports with transformation strategies. Use when users say "评估我的人生", "寻找生活原型", "HUMAN 3.0", "人生指导", "人生规划", "评估我的发展", "我的人生出了什么问题", "帮我找到发展方向", "我觉得人生卡住了", "life assessment", "personal development assessment", or any request for comprehensive life evaluation using the HUMAN 3.0 framework.

ClawHub Agent Skills author: NIKOwQ v1.0.0 MIT-0 6 files body ≈ 2 050 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 55/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
93
Run on models
none yet
Process rating
C
55/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 55/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 2 mutating operations with no state check
    • 65Failures and branches. 3 branches
    • 85Steps. 55 steps, 2 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2050 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

    • +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 9 example trigger phrases
    • +3Description length 643: enough signal without eating the budget
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 55 items
    • +4Has examples (0 code blocks)
    • +4Reference files are cited in the instructions (4 of 4)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.

    External checks

    ClawHub: suspicious
    This is a text-only Chinese life-assessment skill, but its metadata declares unrelated crypto and purchase capabilities users should review before installing.
    LLM: suspicious (high) · VirusTotal: · 28 May 2026