SKILLEMALL.ai

AC think-and-grow-rich-napoleon-hill

Napoleon Hill's "Think and Grow Rich" — an executable toolkit for harnessing the power of thought, desire, and persistence to achieve wealth and success. Covers 5 use cases: ① Goal Setting — ("How to define what I really want" "How to set a burning desire") ② Wealth Mindset — ("How to think like a wealthy person" "How to attract money") ③ Overcoming Fear — ("How to stop being afraid of failure" "How to build self-confidence") ④ Persistence — ("How to keep going when things get hard" "How to build unshakable determination") ⑤ Decision-Making — ("How to make better decisions faster" "How to develop a definite purpose") Trigger when users say: "Think and Grow Rich" "Napoleon Hill" "Burning desire" "How to get rich" "Definite purpose" "Mastermind" "Faith" "Persistence" "How to attract success" "Wealth mindset" "Self-confidence" or mention: Napoleon Hill / wealth / success / desire / faith / persistence / mastermind / autosuggestion / definite purpose / burning desire / riches.

ClawHub Agent Skills author: BestBooks v1.0.0 MIT-0 8 files body ≈ 2 203 tokens Open the sourceclawhub.ai analyzed 2 d ago

Napoleon Hill's "Think and Grow Rich" — an executable toolkit for harnessing the power of thought, desire, and persistence to achieve wealth and success.

As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

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
63/100
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: 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 63/100

    • 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. 1 mutating operations with no state check
    • 60Failures and branches. 2 branches
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 32 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2203 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 987: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +5Description quotes 21 example trigger phrases
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 32 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 appears to be a low-risk guidance skill with somewhat broad activation language, not a skill that accesses data, runs commands, or changes the user’s environment.
    LLM: benign (medium) · VirusTotal: · 8 Jun 2026