SKILLEMALL.ai

AB life-alignment-agent

Build and run a behavior-first personal planning, triage, and decision agent that learns a user's values, goals, recurring problems, friction patterns, and decision standards over time, then gives strong recommendations for "what should I do now?", multi-problem triage, do-or-don't dilemmas, 3-6 month planning, weekly review, and proactive heartbeat follow-up. Use when a user wants a dedicated OpenClaw agent that increasingly understands who they are and keeps daily action aligned with short-term priorities and long-term direction.

ClawHub Agent Skills author: ken v0.1.0 MIT-0 8 files body ≈ 1 794 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 75/100 · Nearly there — weak spots: inputs and preconditions, progress reporting

GeneratorAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
B
75/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Result and completion w 14
60
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: 8. 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 75/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 70Failures and branches. 9 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 69 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1794 tokens
    • 100Running it twice. Mutating operations check current state

    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)
    • +4No input/output examples
    • -5TODO / placeholder text left in the skill
    • +1No license
    • +2Single-language instructions
    • +3Description length 537: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 69 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (5 of 5)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

    External checks

    ClawHub: clean
    This is a disclosed personal planning skill that stores sensitive self-reflection notes, but the behavior fits its stated purpose and shows no hidden code or exfiltration.
    LLM: benign (high) · VirusTotal: · 29 May 2026