SKILLEMALL.ai

AC 12-rules-for-life

Jordan B. Peterson's "12 Rules for Life: An Antidote to Chaos" — an executable toolkit for finding meaning, confronting chaos, and living responsibly. Covers 5 use cases: ① Personal Responsibility — ("How to take control of my life" "How to stop blaming others") ② Meaning & Purpose — ("How to find meaning" "What should I do with my life") ③ Overcoming Chaos — ("How to handle uncertainty" "How to stay strong in difficult times") ④ Relationships — ("How to choose good friends" "How to be a better parent") ⑤ Truth & Honesty — ("How to tell the truth" "How to stop lying to myself") Trigger when users say: "12 Rules for Life" "Jordan Peterson" "Stand up straight" "Lobsters" "Meaningful vs expedient" "Tell the truth" "Set your house in order" "How to find meaning" "Antidote to chaos" or mention: Peterson / responsibility / meaning / chaos / truth / suffering / order / tyranny of the familiar / standing up straight / picking the right friends.

ClawHub Agent Skills author: BestBooks v1.0.0 MIT-0 8 files body ≈ 1 894 tokens Open the sourceclawhub.ai analyzed 2 d ago

Jordan B. Peterson's "12 Rules for Life: An Antidote to Chaos" — an executable toolkit for finding meaning, confronting chaos, and living responsibly. Covers…

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
C
57/100
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: 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 57/100

    • 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. 1 mutating operations with no state check
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 36 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1894 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)
    • +3Description length 950: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +5Description quotes 20 example trigger phrases
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 36 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (5 of 5)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    This is a disclosed self-help/book companion skill with no executable code, but its activation wording is broad and it adds a promotional watermark when active.
    LLM: benign (medium) · VirusTotal: · 8 Jun 2026