SKILLEMALL.ai

BC texas-electricity-savings-monitor-openclaw

OpenClaw-optimized skill for Texas residential electricity shopping, address completion, candidate confirmation, ESIID lookup, usage estimation, plan recommendation, self-service plan routing, and daily or weekly savings monitoring. Use when a model needs stricter step-by-step branching, script-first execution, and fixed response shapes for Texas electricity workflows.

ClawHub Agent Skills author: catkennel v1.0.0 MIT-0 17 files · 7 scripts body ≈ 2 527 tokens Open the sourceclawhub.ai↗ analyzed 13 d ago

OpenClaw-optimized skill for Texas residential electricity shopping, address completion, candidate confirmation, ESIID lookup, usage estimation, plan…

As a process C 64/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, running it twice

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
C
64/100
Has gaps
Inputs and preconditions w 11
0
When it triggers w 12
20
Running it twice w 4
30
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: ClawHub

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: 17. 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 64/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 2 mutating operations with no state check
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 100Steps. 99 steps
    • 100Failures and branches. 5 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2527 tokens
    • 100Progress reporting. Reports progress

    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)
    • +4No input/output examples
    • -31 of 7 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 371: enough signal without eating the budget
    • +4Structure: 23 headings
    • +3Step-by-step instructions: 99 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (4 of 4)

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

    External checks

    ClawHub: suspicious
    The skill is coherent for Texas electricity shopping, but it sends residential address and usage data to an external service while shipping an exposed API token, so it needs review before installation.
    LLM: suspicious (high) · VirusTotal: · 16 Sept 2026