SKILLEMALL.ai

AB point-line-plane-solid

Activate when: user says 'we're good at X but not growing,' 'we need a moat,' 'we're just a feature not a platform,' 'competition keeps copying us,' 'we want to build something hard to replicate,' or asks how to move from product to platform to ecosystem. Do NOT activate when: the user is still searching for product-market fit (the point-level value hasn't been validated yet); or when the question is purely about execution speed or cost within an existing market (a line-level optimization, not a dimension problem). More: deciqai.com/c/point-line-plane-solid

ClawHub Agent Skills author: deciqAI v1.0.4 MIT-0 4 files body ≈ 2 503 tokens Open the sourceclawhub.ai↗ analyzed 14 d ago

Activate when: user says 'we're good at X but not growing,' 'we need a moat,' 'we're just a feature not a platform,' 'competition keeps copying us,' 'we want…

As a process B 67/100 · Nearly there — weak spots: when it triggers, failures and branches, running it twice

ProcedureInfrastructureData and analyticsAI and agentstype 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
B
67/100
Nearly there
Failures and branches w 10
0
Progress reporting w 2
0
When it triggers w 12
20
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: 4. 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 67/100

    • 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. 5 mutating operations with no state check
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 39 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2503 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +1No license
    • +2Single-language instructions
    • +3Description length 563: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 39 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

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

    External checks

    ClawHub: clean
    This is a disclosed business-strategy coaching skill with no executable code, persistence, credential handling, or hidden high-impact behavior.
    LLM: benign (high) · VirusTotal: · 17 Jul 2026