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igorwarzocha/opencode-workflows109 installs

security-ai-keys

Review AI API key leakage patterns and redaction strategies. Use for identifying exposed keys for OpenAI, Anthropic, Gemini, and 10+ other providers. Use proactively when code integrates AI providers or when environment variables/keys are present. Examples: - user: "Check for leaked OpenAI keys" → scan for `sk-` patterns and client-side exposure - user: "Is my Gemini integration secure?" → audit vertex AI config and key redaction - user: "Review AI provider logging" → ensure secrets are redacted from logs - user: "Scan for Anthropic secrets" → check for `ant-` keys in code and configs - user: "Audit Vertex AI integration" → verify proper IAM roles and service account usage

How do I install this agent skill?

npx skills add https://github.com/igorwarzocha/opencode-workflows --skill security-ai-keys
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill is a security auditing tool designed to detect leaked AI API keys and credentials in local codebases. It uses standard shell commands to scan for sensitive patterns and does not perform any network exfiltration or malicious actions.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

  • Runlayerfail

    2/2 files flagged

  • ZeroLeakspass

    Score: 93/100 · 2 sections analyzed

What does this agent skill do?

<overview>

Security audit patterns for AI API key leakage in applications integrating AI providers.

</overview> <rules>

Core Principles

  • MUST treat AI API keys as secrets and keep them server-side.
  • MUST NOT ship keys to browsers or mobile clients.
  • SHOULD avoid logging keys; redact before logging or error reporting.
  • MUST rotate keys immediately if exposure is suspected.
</rules> <vulnerabilities>

Common Leak Paths

1) Client-Side Exposure

  • NEXT_PUBLIC_* / VITE_* env vars containing AI keys
  • Direct calls to AI provider endpoints from browser code

2) Build Artifacts

  • Keys embedded in bundles (dist/, build/, .next/)
  • Source maps exposing server code containing keys

3) Logs and Telemetry

  • console.log / logger statements that include key values
  • Error tracking payloads (Sentry, Datadog) with headers included
</vulnerabilities> <commands>

Quick Audit Commands

# Env files: AI keys accidentally exposed to client
rg -n "(NEXT_PUBLIC_|VITE_).*(OPENAI|OPENROUTER|ANTHROPIC|GEMINI|GOOGLE|VERTEX|BEDROCK|AWS|AZURE|MISTRAL|COHERE|GROQ|PERPLEXITY|TOGETHER|REPLICATE|FIREWORKS|HUGGINGFACE|HF_)" . -g "*.env*"

# Client code calling AI APIs directly (check for browser use)
rg -n "api\.openai\.com|openrouter\.ai|api\.anthropic\.com|generativelanguage\.googleapis\.com|aiplatform\.googleapis\.com|bedrock.*amazonaws\.com|api\.mistral\.ai|api\.cohere\.ai|api\.groq\.com|api\.together\.xyz|api\.perplexity\.ai|api\.replicate\.com|api\.fireworks\.ai|openai\.azure\.com" . -g "*.js" -g "*.ts" -g "*.jsx" -g "*.tsx" -g "*.vue"

# Scan build outputs for likely keys (heuristic)
rg -a "sk-[A-Za-z0-9]{20,}|sk-ant-[A-Za-z0-9-]{20,}|sk-or-[A-Za-z0-9-]{20,}|AIza[0-9A-Za-z_-]{35}|hf_[A-Za-z0-9]{20,}" dist/ build/ .next/ 2>/dev/null

# Service account credentials and cloud auth files
rg -n "\"type\"\s*:\s*\"service_account\"|GOOGLE_APPLICATION_CREDENTIALS|AWS_ACCESS_KEY_ID|AWS_SECRET_ACCESS_KEY|AZURE_OPENAI_API_KEY" . -g "*.env*" -g "*.json"
</commands> <checklist>

Hardening Checklist

  • AI provider keys only in server runtime (never in browser)
  • .env.local and .env.*.local are gitignored
  • Logs redact or omit secrets (request headers, env values)
  • Build artifacts scanned before deploy
  • Keys rotated if exposure suspected
</checklist> <scripts>

Scripts

  • scripts/scan.sh - First-pass AI key leakage scan
</scripts>

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/igorwarzocha/opencode-workflows/security-ai-keys">View security-ai-keys on skillZs</a>