SKILLEMALL.ai

AC behavior-design-openclaw-os

Meta skill for OpenClaw (Moltbot / Clawdbot) that reads human behavior, uncovers hidden motives and patterns, and designs systems, strategies, and interventions from the thought behind them, using influence, psychology, and spirituality. Use when you want the agent to see beyond surface requests, diagnose why people act the way they do, and architect behaviorally intelligent, spiritually aligned solutions.

ClawHub Agent Skills author: Kiana Bluecher v1.0.0 MIT-0 2 files body ≈ 1 990 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 61/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

AnalyzerInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
C
61/100
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: 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 61/100

    • 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
    • 30Running it twice. 5 mutating operations with no state check
    • 40Consistency. Frontmatter name (behavior-design-openclaw-os) differs from the folder (consciousness)
    • 60Failures and branches. 2 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 84 steps
    • 100When it triggers. States when to use and when not to
    • 100Execution cost. Instruction body is 1990 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 409: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 84 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

    External checks

    ClawHub: clean
    This appears to be an instruction-only analysis skill with no file, network, credential, persistence, or mutation behavior, but users should be cautious because it encourages broad personal and psychological inference.
    LLM: benign (medium) · VirusTotal: · 29 May 2026