SKILLEMALL.ai

AC ai-labs-builder

AI Labs Builder - Create modern websites, AI applications, dashboards, and automated workflows. Unified system for building production-ready projects with Next.js, TypeScript, Tailwind, shadcn/ui, and MCP integration. Use when creating new projects, building AI features, designing dashboards, or automating workflows. Triggers include "create website", "build ai app", "make dashboard", "setup workflow", or any project creation requests.

modbender/skill-library-mcp Agent Skills author: modbender MIT 11 files · 5 scripts body ≈ 1 788 tokens Open the sourcegithub.com analyzed 3 d ago

AI Labs Builder - Create modern websites, AI applications, dashboards, and automated workflows.

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
93
Quality 40%
85
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • medium Broad scope meta-broad-allowed-tools SKILL.md:1
      Broad tool permissions pre-approved: Bash
      allowed-tools: Read Write Edit Bash Node
    • low Exfiltration read-dotenv scripts/create-ai-app.sh:430
      Reads a .env file
      cp .env.example .env.local
    • low Exfiltration read-dotenv scripts/create-ai-app.sh:451
      Reads a .env file (quoted — discussed, not commanded)
      echo "  cp .env.example .env.local"
      quoted

    Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "triggers"

    Process rating: all ten parameters 51/100

    • 0Result and completion. Does not say what the result is
    • 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. 8 mutating operations with no state check
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 102 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1788 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 10 top-level sections: this looks like several domains in one skill

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -35 of 5 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +3Description length 439: enough signal without eating the budget
    • +4Structure: 36 headings
    • +3Step-by-step instructions: 102 items
    • +4Has examples (16 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.