SKILLEMALL.ai

AC aarrr-pirate-metrics

Activate when: user says 'our growth is stalling and we don't know why,' 'product and marketing are arguing about whose fault it is,' 'where is our funnel breaking,' 'pirate metrics,' or 'acquisition vs activation vs retention.' Also activate for: designing end-to-end metrics for a new product, building a shared instrumentation framework across teams. Do NOT activate when: the product has no users yet (use lean-startup instead), or the bottleneck is already obvious and obvious to fix. More: deciqai.com/c/aarrr-pirate-metrics

ClawHub Agent Skills author: deciqAI v1.0.6 MIT-0 6 files body ≈ 2 127 tokens Open the sourceclawhub.ai analyzed 2 d ago

Activate when: user says 'our growth is stalling and we don't know why,' 'product and marketing are arguing about whose fault it is,' 'where is our funnel…

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

ProcedureData and analyticsMarketingtype 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
Inputs and preconditions w 11
0
Failures and branches w 10
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: 6. 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

    • 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. 5 mutating operations with no state check
    • 60Result and completion. Output format stated, no completion criterion
    • 85Steps. 38 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2127 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 530: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 38 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 plain guidance skill for analyzing startup growth funnels, with no code execution, credential access, persistence, or hidden behavior found.
    LLM: benign (high) · VirusTotal: · 16 Jul 2026