SKILLEMALL.ai

AC appliance-energy-audit

Use when you want to know which appliances actually drive your electric bill, whether a bill spike is explained by your usage, if standby/vampire draw is worth addressing, whether replacing an old fridge/dryer/AC pays back, or when modeling tiered utility rates — builds a ranked cost-per-appliance table from watts, duty cycle, and usage hours, reconciles it against your real bill, and computes replacement payback.

ClawHub Agent Skills author: voronindenis5 v1.0.0 MIT-0 7 files body ≈ 1 365 tokens Open the sourceclawhub.ai analyzed 3 d ago

Use when you want to know which appliances actually drive your electric bill, whether a bill spike is explained by your usage, if standby/vampire draw is…

As a process C 55/100 · Has gaps — weak spots: result and completion, inputs and preconditions, progress reporting

AnalyzerInfrastructureFinancetype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
96
Run on models
none yet
Process rating
C
55/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
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: 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 55/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 50When it triggers. No condition that starts the skill
    • 55Failures and branches. 1 branches
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 100Steps. 20 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1365 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
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 417: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 20 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 2 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 96.

    External checks

    ClawHub: clean
    This skill is a local appliance energy calculator whose code and instructions match its stated purpose and do not show hidden data access, persistence, or network behavior.
    LLM: benign (high) · VirusTotal: · 28 Aug 2026