SKILLEMALL.ai

AC demo-production

Turn vague or incomplete product ideas into polished, runnable demos with minimal user prompting. Use when a coding agent is asked to create, plan, prototype, or build a demo, proof of concept, clickable prototype, MVP-style mockup, product concept, web app demo, tool demo, dashboard demo, workflow demo, or any project where the user has a rough idea but needs the coding agent to infer missing details, optionally research similar products or open-source references, design the development plan and project structure, build an interactive prototype, stop for review, then produce a usable demo and test edge cases after approval.

ClawHub Agent Skills author: StDoses72 v1.0.1 MIT-0 7 files body ≈ 4 312 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 59/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

AnalyzerAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
C
59/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
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: 7. 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 59/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 4 mutating operations with no state check
    • 40Result and completion. Does not say what the result is
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70Execution cost. Instruction body is 4312 tokens
    • 85Steps. 222 steps, 2 vague phrases
    • 100Failures and branches. 6 branches, has a failure section
    • 100Consistency. Name and required fields are in place

    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)
    • +3Output format is not stated: the model decides each time
    • -5TODO / placeholder text left in the skill
    • +1No license
    • +2Single-language instructions
    • +3Description length 632: enough signal without eating the budget
    • +4Structure: 31 headings
    • +3Step-by-step instructions: 222 items
    • +4Has examples (4 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

    External checks

    ClawHub: clean
    This is a transparent instruction-only demo-building skill that may create prototype files and optionally research references, but it has a review gate and no hidden execution, credentials, or persistence.
    LLM: benign (high) · VirusTotal: · 29 May 2026