SKILLEMALL.ai

AB factory-floor

Startup coach for founders and early-stage teams. Trigger when someone mentions: "what should we focus on", "should we build X", "should we raise", "we're stuck", "why isn't this growing", "pipeline is thin", "we're not converting", "we're spread too thin", "team is busy but nothing ships", "I don't know what to do next", or asks about churn, hiring, runway, burn rate, deal flow, fundraising, WIP, JTBD, customer factory, constraint, throughput — in a startup context. NOT for: freelancers, agencies, established companies, coding help, debugging.

ClawHub Agent Skills author: Mario v3.5.1 MIT-0 28 files body ≈ 1 685 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process B 77/100 · Nearly there — weak spots: inputs and preconditions, progress reporting

ProcedureInfrastructureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
99/100
safety, quality, tests
Safety 60%
100
Quality 40%
97
Run on models
none yet
Process rating
B
77/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Result and completion w 14
60
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: 28. 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 77/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 60Result and completion. Output format stated, no completion criterion
    • 60Failures and branches. 2 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 9 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1685 tokens
    • 100Running it twice. No mutating operations

    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

    • -31 of 1 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 10 example trigger phrases
    • +4Description says when NOT to use the skill
    • +3Description length 550: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 9 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (11 of 12)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 97.

    External checks

    ClawHub: suspicious
    Factory Floor is mostly a coherent startup-coaching skill, but its installer runs an additional npm dependency install without a clear opt-in or lockfile, so users should review it before installing.
    LLM: suspicious (medium) · VirusTotal: · 29 May 2026