SKILLEMALL.ai

AC pool-chemistry-pilot

Use when a pool/spa owner reports test results (chlorine, pH, CYA, salt, borates, temp) and asks what to add, or asks why water is cloudy/green/irritating, or wants a chemical dosing plan with exact amounts. Computes chemical-by-chemical dosing from your actual test numbers, warns on unsafe water (high CYA, low FC/CYA ratio, pH drift), models the chlorine/CYA relationship, and prints a treatment sequence — never a sales pitch.

ClawHub Agent Skills author: voronindenis5 v1.0.0 MIT-0 6 files · 1 script body ≈ 2 178 tokens Open the sourceclawhub.ai↗ analyzed 12 d ago

Use when a pool/spa owner reports test results (chlorine, pH, CYA, salt, borates, temp) and asks what to add, or asks why water is cloudy/green/irritating, or…

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions

ProcedureAI and agentstype 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
57/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
50
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: 6. 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 57/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 50When it triggers. No condition that starts the skill
    • 55Failures and branches. 1 branches
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 100Steps. 31 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2178 tokens
    • 100Running it twice. No mutating operations
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 11 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

    • +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 430: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 31 items
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 1 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 coherent offline pool-chemistry calculator that stores only a local JSON pool log and does not show hidden network, credential, or persistence behavior.
    LLM: benign (high) · VirusTotal: · 29 Sept 2026