SKILLEMALL.ai

AB Water Tracker

Tracks daily water intake from casual mentions and sets hydration targets from weight, exercise, heat, and health context. Use when the user logs a drink ("had a glass", "finished my bottle"), asks how much water they should drink or whether they drink enough, reports thirst, dark urine, dry mouth, cramps, or a headache that could be dehydration, plans fluid or electrolyte replacement for workouts, races, sauna, hiking, flights, or hot weather, or needs rehydration guidance during fever, vomiting, diarrhea, or a hangover, or asks whether tap, bottled, filtered, mineral, or sparkling water is safe or better. Not for meal or calorie logging.

ClawHub Agent Skills author: Iván v1.0.4 MIT-0 13 files body ≈ 3 584 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 72/100 · Nearly there — weak spots: inputs and preconditions, consistency, running it twice

ReferenceInfrastructureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
B
72/100
Nearly there
Inputs and preconditions w 11
0
Running it twice w 4
30
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: 13. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
    • note frontmatter-key unknown frontmatter key "slug"
    • note frontmatter-key unknown frontmatter key "homepage"
    • note frontmatter-key unknown frontmatter key "changelog"

    Process rating: all ten parameters 72/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 6 mutating operations with no state check
    • 40Consistency. Frontmatter name (Water Tracker) differs from the folder (water)
    • 60Result and completion. Output format stated, no completion criterion
    • 65Failures and branches. 3 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 33 steps
    • 100When it triggers. States when to use and when not to
    • 100Execution cost. Instruction body is 3584 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 12 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

    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 2 example trigger phrases
    • +4Description says when NOT to use the skill
    • +3Description length 647: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 33 items
    • +3Output format is stated explicitly

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

    External checks

    ClawHub: suspicious
    The skill is a coherent local water tracker, but it can silently save health-related hydration details from broad casual mentions without a clear consent or deletion flow.
    LLM: suspicious (medium) · VirusTotal: · 26 Jul 2026