SKILLEMALL.ai

AB vpn

Meta-skill for secure network tunnel setup, geo-access diagnostics, and leak-aware task resumption by orchestrating shell-scripting, curl-http, wireguard, tailscale, dns, ipinfo, and moltguard. Use when users need controlled VPN switching, region verification, DNS safety checks, and automatic retry of previously blocked workflows.

modbender/skill-library-mcp Claude Code author: modbender MIT 2 files body ≈ 2 028 tokens Open the sourcegithub.com analyzed 2 d ago

Meta-skill for secure network tunnel setup, geo-access diagnostics, and leak-aware task resumption by orchestrating shell-scripting, curl-http, wireguard…

As a process B 66/100 · Nearly there — weak spots: when it triggers, consistency, progress reporting

AnalyzerSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
B
66/100
Nearly there
Progress reporting w 2
0
When it triggers w 12
20
Consistency w 8
40
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 66/100

    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (vpn) differs from the folder (proxy)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 100Steps. 128 steps
    • 100Inputs and preconditions. Inputs and preconditions are listed
    • 100Execution cost. Instruction body is 2028 tokens
    • 100Running it twice. No mutating operations
    • 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
    • +4Description does not say when NOT to use the skill (false activations)
    • -41 reference files, but SKILL.md never points to them: the model will not open them
    • +1No license
    • +2Single-language instructions
    • +3Description length 332: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 128 items
    • +3Output format is stated explicitly
    • +4Has examples (4 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.