ClawHub

Cat Food Tracker

v1.0.1

Work with cat feeding, weight, and water tracking records. Use when validating CatFoodCalculator-style JSON backups, calculating dry-equivalent cat food tota...

⭐ 0· 70·0 current·0 all-time
by@hhr8

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for hhr8/cat-food-tracker.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Cat Food Tracker" (hhr8/cat-food-tracker) from ClawHub.
Skill page: https://clawhub.ai/hhr8/cat-food-tracker
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install cat-food-tracker

ClawHub CLI

Package manager switcher

npx clawhub@latest install cat-food-tracker
Security Scan
Capability signals
CryptoCan make purchases
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
high confidence
✓
Purpose & Capability
Name/description match the included scripts and reference docs: validation, daily summaries, CSV export, and related calculations are implemented in the bundled .mjs files and referenced docs.
✓
Instruction Scope
SKILL.md instructs running the included Node scripts against local backup files or stdin. The runtime instructions only touch backup JSON, local reference docs, and produce summaries; there are no instructions to read unrelated system files, access environment variables, or send data to external endpoints.
✓
Install Mechanism
No install spec is provided (instruction-only installation). The package includes plain JavaScript scripts to run with Node.js; there are no downloads, external installers, or archive extraction steps.
✓
Credentials
The skill requires no environment variables, credentials, or config paths. The scripts accept local file input or stdin only, which is proportionate to the declared functionality.
✓
Persistence & Privilege
always is false and the skill does not request persistent system privileges or modify other skills/config. It is user-invocable and may be invoked autonomously by the agent (default), which is normal for skills and not flagged here.
Assessment
This skill appears internally consistent and limited to local data processing. Before using it: (1) ensure you have Node.js to run the scripts; (2) only run the scripts on backups you trust or are willing to expose to local code execution; (3) review the included .mjs files if you want to double-check behavior—they are short and readable and contain no network or credential usage; (4) note the agent can invoke the skill autonomously by default—if you want stricter control, disable autonomous invocation in your agent settings before installing.

Like a lobster shell, security has layers — review code before you run it.

data-processingvk978tp2qers7fge62wn0dd4kt185fkz8latestvk978tp2qers7fge62wn0dd4kt185fkz8offline-firstvk978tp2qers7fge62wn0dd4kt185fkz8pet-carevk978tp2qers7fge62wn0dd4kt185fkz8
70downloads
0stars
2versions
Updated 4d ago
v1.0.1
MIT-0
@hhr8
data-processinglatestoffline-firstpet-care
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Cat Food Tracker

Use this skill to process cat feeding tracker data reliably. Prefer the bundled scripts for validation, daily summaries, and CSV output instead of doing arithmetic manually.

Workflow

  1. Identify the input shape. Supported input is a JSON object with optional settings, pets, feed_records, weight_records, and water_records arrays. If the user provides CSV or free-form data, first convert it into this shape.
  2. Validate JSON backups with scripts/validate-backup.mjs before calculating or transforming records.
  3. Generate daily summaries with scripts/daily-summary.mjs when the user asks for totals, dry-equivalent food, water intake, daily history, or CSV export.
  4. Read the focused reference files only when needed:
    • references/domain-model.md for accepted fields and enums.
    • references/calculations.md for formulas, rounding, and grouping behavior.
    • references/import-export.md for backup validation and CSV expectations.

Commands

Run validation:

node {baseDir}/scripts/validate-backup.mjs backup.json --pretty

Read backup JSON from stdin:

cat backup.json | node {baseDir}/scripts/validate-backup.mjs - --pretty

Create daily JSON summaries:

node {baseDir}/scripts/daily-summary.mjs backup.json --pretty

Create daily CSV summaries:

node {baseDir}/scripts/daily-summary.mjs backup.json --format csv

Filter by pet or date range:

node {baseDir}/scripts/daily-summary.mjs backup.json --pet-id pet-1 --from 2026-04-01 --to 2026-04-30 --format csv

Public Data Handling

Treat cat names and feeding histories as private user data. Do not include real backup files, pet names, or feeding history in examples, logs, commits, or published skill packages unless the user explicitly asks.

If an input has unsupported fields, validate first and explain that this skill keeps only the supported CatFoodCalculator-style schema. If records reference missing pets, report the warnings from the scripts and still summarize using the pet_id.

When Editing Or Extending

Keep formulas in scripts/cat-food-core.mjs and references/calculations.md aligned. If adding a field to the backup schema, update references/domain-model.md, references/import-export.md, validation in cat-food-core.mjs, and the self-test examples.

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