SKILLEMALL.ai

AC nobodybuilt

Use this skill when the user wants to find unexplored tool, app, or project ideas that nobody has built yet. Triggers: 'nobodybuilt', 'find me an idea', 'what should I build', 'viral tool idea', 'unexplored niche', 'blue ocean', 'surprise me with an idea', 'what hasn't been built yet', or when the user sends a screenshot/photo asking for tool ideas. Accepts text or images as input — analyzes screenshots of apps, photos of real-world problems, or Reddit/Twitter posts to identify gaps. Searches GitHub, Reddit, Product Hunt, npm, and AI directories for real gaps, scores ideas on 9 viral factors, then generates complete publish-ready code + README + launch strategy. Do NOT use for: building a specific tool the user already has in mind, code review, debugging, or general brainstorming unrelated to tool/product discovery.

ClawHub Agent Skills author: Ke Wang v1.1.0 MIT-0 7 files · 1 script body ≈ 2 757 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

AnalyzerGitHubSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
C
59/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
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

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 14 mutating operations with no state check
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 65Failures and branches. 3 branches
    • 85Steps. 53 steps, 1 vague phrases
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2757 tokens
    • 100Progress reporting. Reports progress
    • 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
    • +3Description length 827: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • -5TODO / placeholder text left in the skill
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +4Structure: 22 headings
    • +3Step-by-step instructions: 53 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: clean
    This skill is a disclosed idea-research and project-launch helper, with publication steps that are side-effectful but aligned with its stated purpose and user choice flow.
    LLM: benign (medium) · VirusTotal: · 29 May 2026