SKILLEMALL.ai

AD contrarian-question

Activate when: user says 'contrarian question,' 'the Thiel question,' 'what important truth do very few people agree with you on,' 'is this actually contrarian,' or 'what valuable company is nobody building'; user is drafting or stress-testing a startup thesis, pitch 'secret,' or investment view that claims to be non-consensus; user is preparing for an interview or pitch where they must defend an unpopular claim; user suspects their bold-sounding claim is really consensus in edgy clothing. Do NOT activate when: the user needs the broader portfolio-level discipline of hunting for edges across many bets (use non-consensus-thinking instead); the claim is a matter of taste or values with no evidence path to being right or wrong; the user wants validation or applause for a provocative take rather than a gate that might fail it. More: deciqai.com/c/contrarian-question

ClawHub Agent Skills author: deciqAI v1.0.2 MIT-0 2 files body ≈ 4 992 tokens Open the sourceclawhub.ai analyzed 4 d ago

Activate when: user says 'contrarian question,' 'the Thiel question,' 'what important truth do very few people agree with you on,' 'is this actually…

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
D
49/100
Unfinished process
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: 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 49/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 8 mutating operations with no state check
    • 70Execution cost. Instruction body is 4992 tokens
    • 100Tools and files. No external tools needed
    • 100Steps. 53 steps
    • 100Consistency. Name and required fields are in place
    • 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)
    • +3Description length 874: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 53 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

    External checks

    ClawHub: clean
    This is a reasoning/coaching skill for testing startup or investment claims and does not request sensitive access or hidden authority.
    LLM: benign (high) · VirusTotal: · 19 Jul 2026