SKILLEMALL.ai

AC x-is

Value validation and environment detection tool for Shell scripts. Validates input types (integers, floats, IPs), compares file ages, detects runtime environments (TTY, WSL, Termux, Cygwin). Supports batch checking with exit code 0 success / 1 failure. Trigger when user needs to validate input types, detect terminal environment, check file freshness, verify variable states, or perform environment suitability checks (suitable_pkg/suitable_advise). Keywords: validate, check, verify, is, integer, float, positive, negative, range, IP address, file age, interactive, WSL, Termux, environment detection, unset variable, batch check.

ClawHub Agent Skills author: lunrenyi v1.0.0 MIT-0 2 files body ≈ 847 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 60/100 · Has gaps — weak spots: result and completion, failures and branches, progress reporting

AnalyzerSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
C
60/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
0
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

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 60/100

    • 0Result and completion. Does not say what the result is
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 11 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 847 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

    • +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
    • +2Single-language instructions
    • +3Description length 632: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 11 items
    • +4Has examples (7 code blocks)
    • +1License stated

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

    External checks

    ClawHub: clean
    This is a coherent shell-validation reference skill with no bundled executable code, hidden behavior, persistence, or data exfiltration.
    LLM: benign (high) · VirusTotal: · 29 May 2026