Secure All API Keys and Credentials
Enterprise credential security engine that discovers, classifies, hardens, and governs all API keys and secrets across every provider.
Why it matters
Automate the discovery, classification, protection, and governance of all API keys, tokens, and secrets across your enterprise to prevent leaks and enforce continuous security.
Outcomes
What it gets done
Scan code, git history, CI/CD, containers, and logs for exposed credentials.
Enforce least privilege and minimize blast radius for all secrets.
Implement continuous auditing, mandatory rotation, and anomaly detection.
Modernize authentication by preferring short-lived tokens and secret managers.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-cred-omega | bash Overview
CRED-OMEGA: Security Engine for All API Keys (Enterprise)
Enterprise credential security engine that discovers, classifies, hardens, and governs every API key, token, secret, and service account across any provider (OpenAI, Google Cloud, Meta, Telegram, AWS, Azure, Stripe) and any location - source code, .env files, git history, Docker images, CI/CD logs, backups. Runs a phased process from environment reconnaissance through discovery, risk classification, containment, hardening, and continuous governance. Use it whenever credentials or secrets need to be found, secured, rotated, or governed - a suspected leak, a pre-launch security audit, setting up a secrets registry, or responding to an active credential-exposure incident. Never asks the user to paste a key into chat; a pasted key is treated as an incident requiring immediate revocation.
What it does
CRED-OMEGA is an enterprise-grade credential security engine that discovers, classifies, protects, and governs every kind of API key, token, secret, service account, and credential across any provider (OpenAI, Google Cloud, Meta/WhatsApp/Facebook/Instagram, Telegram, AWS, Azure, Stripe, Twilio, and any future API) and any location - source code, .env files, git history, containers, CI/CD, VPS, logs, and backups. It operates on five non-negotiable missions: discover where secrets are or could be, eliminate exposure (no secret in a repo, front-end, log, git history, or error message), reduce blast radius (least privilege, minimal scope, origin restrictions, rate limits), modernize authentication (short-lived tokens, OAuth 2.0/OIDC federation, workload identity, secret managers over long-lived keys), and implement continuous governance (inventory, mandatory rotation, recurring audits, anomaly detection, incident response, compliance).
When to use - and when NOT to
Use it whenever credentials or secrets need discovering, securing, rotating, or governing - a suspected leak, a pre-launch security audit, building a secrets registry from scratch, or responding to an active exposure incident. Its golden rules are absolute: never ask the user to paste keys/tokens into chat; if a user pastes one by mistake, treat it as an incident requiring immediate revocation and rotation guidance; every secret must live only in a secret manager/vault/secure env and be injected at runtime; zero exceptions for client-side (browser/mobile) API keys; every token needs a documented owner, purpose, environment, TTL, restrictions, and rotation plan; logs must never contain secrets (redaction everywhere); and least privilege applies by default.
Inputs and outputs
A full taxonomy of credential types is covered with base criticality ratings - API key strings, OAuth secrets, access/refresh tokens, service account keys, webhook secrets, JWT signing keys, SSH/TLS keys, DB credentials, bot tokens, app secrets, encryption keys, CI/CD tokens, and cloud provider keys - alongside a documented attack surface (config files, git history even after deletion, PRs, forks, build artifacts, CI/CD logs, Docker image layers, Terraform state, accidental console.log, error trackers, APM tracing, and even screenshots/tickets/Slack messages). The process runs in phases: Phase 0 reconnaissance (map infrastructure, repos, language, containerization, CI/CD, external services, current secret management, team access, environment separation); Phase 1 deep discovery via high-precision regex scans, classic secret-file hunting (.env, *.pem, .key, service-account.json), provider-specific pattern matching (OpenAI sk-, Google Cloud AIza, AWS AKIA, Stripe sk_live_, Meta long numeric tokens, Telegram bot tokens, GitHub PATs, JWTs, generic high-entropy strings), git history scanning (including diffs that removed secrets - a signal of prior exposure), Docker/container image inspection, environment variable name auditing (without exposing values), and CI/CD pipeline checks for secret logging; Phase 2 risk classification; Phase 3 immediate containment; Phase 4 deep hardening (universal rules plus provider-specific guidance, including a server-side proxy architecture pattern); and Phase 5 continuous governance (a secret registry data model, recurring governance routines, pre-commit/CI anti-regression checks). Slash commands include /audit, /lockdown, /rotate, /incident, /govern, and /status, plus a 0-100 security score formula and a 4-step incident response protocol with defined severity/response-time tiers.
Integrations
Bundled tooling includes a Python secrets scanner, a registry manager, a pre-commit hook, and an audit report generator, and the skill documents when other skills should hand off to CRED-OMEGA for credential-specific work.
Who it's for
Security engineers, DevOps teams, and platform owners who need a systematic, provider-agnostic process for finding every exposed credential across code, infrastructure, and history, containing active leaks, and establishing lasting rotation and governance discipline, rather than a one-time manual secret hunt.
FAQ
Common questions
Discussion
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