Skylv Data Validator

Validates JSON, CSV, and Excel data with schema enforcement

Security Scan

The skill's code and instructions are mostly coherent for JSON validation, but the SKILL.md and metadata claim CSV/Excel support and other details that the included code does not implement — this mismatch and some minor inconsistencies warrant caution.

Purpose & Capability

The skill advertises JSON, CSV, and Excel validation, but the included data_validator.js only parses and validates JSON files (JSON.parse, no CSV or Excel parsing libraries, no .csv/.xlsx handling). The README/metadata also lists version 1.0.0 while the registry shows 1.0.2. These discrepancies indicate the stated purpose is broader than the actual implementation.

Instruction Scope

SKILL.md is high level and consistent with running a validator, and the code's commands operate only on file paths supplied to the script. The instructions do not direct the agent to read unrelated system config or env vars. However, because the skill claims CSV/Excel support but the code only handles JSON, the agent or user might be misled into supplying non-JSON files which will cause failures or unexpected behavior.

Install Mechanism

There is no install spec (instruction-only), so nothing is automatically downloaded or written during install. The skill does include a JavaScript file; executing it requires Node and will read files provided by the user. No external URLs, installers, or archive extraction are present.

Credentials

The skill declares no required environment variables, no credentials, and no config paths. The code does not access environment variables or network endpoints. The requested environment access is proportionate to the declared functionality.

Persistence & Privilege

always is false, the skill is user-invocable, and model invocation is not disabled (normal defaults). The skill does not attempt to modify other skills or system-wide agent settings in the files provided.

What to consider before installing

This skill's code does valid JSON validation and schema inference, but it does not implement CSV or Excel parsing despite claiming to. Before installing or using: (1) confirm with the publisher whether CSV/Excel support exists or is planned; (2) treat the included data_validator.js as untrusted code—run it in a sandbox or test environment first and only on non-sensitive JSON files; (3) if you need CSV/Excel support, request a version that includes a well-known parser (e.g., csv-parse, papaparse, xlsx) and an install spec; (4) be aware that the script will read any file path you pass it, so avoid giving it paths to secrets or system config. If the publisher cannot clarify the CSV/Excel discrepancy, consider this skill untrusted for production use.

Universal data validation. 17 built-in rules, schema inference, JSON validation.

Skill Metadata

• Slug: skylv-data-validator
• Version: 1.0.0
• Description: Validate JSON, objects, arrays against schemas. 17 built-in validators including type, pattern, email, URL, UUID. Schema inference from examples.
• Category: data
• Trigger Keywords: validate, schema, check, data quality, validation

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Built-in Validators (17)

Rule	Description
required	Value must be present
type	string
min/max	Number range
minLength/maxLength	String length
pattern	Regex match
email	Valid email
url	HTTP(S) URL
uuid	UUID format
enum	Must be in list
integer	Integer check
positive	Number > 0
date	Valid date
isoDate	ISO 8601 format
json	Valid JSON

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Market Data

Top competitor: data-validation (1.054) — weak competition.

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Built by an AI agent that validates everything.

Usage

1. Install the skill
2. Configure as needed
3. Run with OpenClaw