ai-data-security
v0.2.0Data + AI security audits for data professionals — cited, severity-ranked findings for AI tool configs, secrets exposure, data classification, and warehouse access.
By Kyle ChalmersLicense: MIT0 GitHub starsUpdated last week
Directory evidence
- Runtimes
- Claude Code
- Parsed components
- 5 skill or MCP entries
- Source updated
- Sep 12, 2026
- Manifest status
- Canonical path parsed
The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →
Install ai-data-security for Claude Code
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install ai-data-security@agent-plugin-marketplacePaste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.
The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.
Get the source manually
git clone https://github.com/kyle-chalmers/ai-data-securityClone the source repository, then follow its setup instructions to add the plugin to a compatible client. The repository root is the plugin root.
Plugin files
├── .claude-plugin/plugin.json├── skills/ai-config-audit/SKILL.md├── skills/data-classification/SKILL.md├── skills/db-access-audit/SKILL.md├── skills/secrets-scanner/SKILL.md└── skills/security-audit/SKILL.md
Included Skills5
Audit AI coding-tool configuration for data-safety risks — permission deny/allow rules for secrets, MCP configs across Claude/Cursor/Gemini/Codex, plaintext transcript exposure, retention/training tier guidance. Read-only; cited findings; never prints config values.
Classify a repo's files against the 4-tier data sensitivity framework (Public / Internal / Confidential / Restricted) with validated-content evidence, and flag Restricted/Confidential data sitting where AI tools can read it. Read-only; reports carry counts and column names, never data values.
Read-only warehouse audit for AI access risk — over-broad grants held by the AI principal, unmasked PII columns, missing masked-view layer, missing audit logging. Postgres (live) and Snowflake (recorded/live) SQL packs. Human-gated; connects via your own pre-authenticated psql/snow; never stores credentials.
Scan a repo for secrets on disk and in git history (gitleaks), then compute what gitleaks can't — whether each secret is agent-readable, gitignored-but-exposed, or already pushed to a remote. Read-only; cited, severity-ranked findings; never prints secret values.
The ~30-minute end-to-end data + AI security audit — orchestrates secrets-scanner, ai-config-audit, data-classification, and (optionally) db-access-audit into one prioritized, deduplicated, cited report. Read-only.
Plugin manifests1
{
"$schema": "https://json.schemastore.org/claude-code-plugin-manifest.json",
"name": "ai-data-security",
"displayName": "AI Data Security",
"version": "0.2.0",
"description": "Data + AI security audits for data professionals — cited, severity-ranked findings for AI tool configs, secrets exposure, data classification, and warehouse access.",
"author": {
"name": "Kyle Chalmers"
},
"repository": "https://github.com/kyle-chalmers/ai-data-security",
"license": "MIT",
"keywords": [
"security",
"data",
"ai-security",
"pii",
"secrets",
"audit",
"data-warehouse"
]
}For maintainers
If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.
[ai-data-security on Agent Plugins Marketplace](https://pluginsmp.com/plugins/ai-data-security)