env-secrets-manager
by alirezarezvanienv-secrets-manager helps audit .env files, source code, and config for likely secret leaks, missing variable risks, and rotation readiness. Use it for repository hygiene, CI-friendly scans, and Security Audit workflows with scripts and references for detection, severity, validation, and containment.
This skill scores 82/100, making it a solid listing candidate for directory users who want practical environment-variable and secret-hygiene assistance. It provides clear activation cues, an executable scanner, and supporting playbooks, though users should treat it as a lightweight safety layer rather than a complete enterprise secrets-scanning solution.
- Strong triggerability: the frontmatter and "When to Use" section clearly cover .env audits, committed-secret checks, rotation planning, missing-env incidents, and hardening new projects.
- Operationally useful: SKILL.md includes a Quick Start with CLI and JSON modes, a recommended workflow, severity prioritization, and CI-oriented output positioning.
- Good agent leverage: the included env_auditor.py script plus references for secret patterns, validation, detection, and rotation give agents executable and procedural guidance beyond a generic prompt.
- No install command or repository-level README is present, so users must infer how to place/run the skill from the skill path and Quick Start examples.
- The auditor uses a focused regex pattern set, which is useful for obvious leaks but may miss provider-specific secrets or produce generic-assignment false positives.
Overview of env-secrets-manager skill
What env-secrets-manager is for
env-secrets-manager is an engineering security skill for improving environment-variable hygiene, detecting likely secret leaks, and preparing safer credential rotation workflows. It is most useful when you need a practical review of .env, .env.example, source files, config files, and deployment assumptions before a commit, release, audit, or incident response.
Best-fit users and jobs to be done
Install this skill if you maintain apps with API keys, database URLs, JWT secrets, webhook secrets, cloud credentials, or contributor-managed local configuration. The strongest fit is security-conscious DevOps, platform, backend, and full-stack teams that want an AI assistant to reason from concrete repository evidence instead of giving generic “do not commit secrets” advice.
What makes the skill useful
The repository includes both guidance and executable support. scripts/env_auditor.py scans candidate files for patterns such as OpenAI-like keys, GitHub PATs, AWS access key IDs, Slack tokens, private key blocks, generic secret assignments, and JWT-like strings. The references add severity guidance, validation examples, and a rotation response playbook, making env-secrets-manager more actionable than a plain prompt.
Where it fits in Security Audit work
env-secrets-manager for Security Audit is best used as a first-pass repository hygiene check, not as a complete enterprise secrets platform. It helps surface suspicious material, prioritize critical and high findings, compare .env conventions against production needs, and generate next steps such as rotation, history cleanup, CI checks, and required-variable validation.
How to Use env-secrets-manager skill
env-secrets-manager install and repository files to read
Install the skill with:
npx skills add alirezarezvani/claude-skills --skill env-secrets-manager
Then inspect the skill source at engineering/skills/env-secrets-manager. Read SKILL.md first for the workflow, then references/secret-patterns.md for severity categories, references/validation-detection-rotation.md for validation and rotation patterns, and scripts/env_auditor.py if you want to understand exactly what the scanner detects and ignores.
Run the auditor before asking for interpretation
From the skill directory or after copying the script into a safe tools location, run:
python3 scripts/env_auditor.py /path/to/repo
For CI-friendly output:
python3 scripts/env_auditor.py /path/to/repo --json
The script ignores common generated directories such as .git, node_modules, build output, virtualenvs, and coverage folders. It checks common source and config extensions, including .env, .py, .ts, .js, .json, .yaml, .toml, .ini, .sh, and .md.
Turn a rough goal into a strong prompt
A weak prompt is: “Check my env files.” A stronger env-secrets-manager usage prompt gives the assistant the audit target, environment model, scanner output, and decision criteria:
Use env-secrets-manager to review this repository for environment-variable and secrets risks. Context: Node.js API, staging and production deploys, GitHub Actions, PostgreSQL, Stripe, Sentry. I ran
python3 scripts/env_auditor.py . --json; here is the output. Prioritize critical/high findings, identify false-positive candidates, recommend rotation or containment steps, and propose updates to.env.example,.gitignore, CI validation, and startup required-variable checks.
This works better because the skill can map findings to actual operational decisions instead of producing a checklist.
Suggested workflow for real projects
Start with a local scan, then review findings by severity. Treat critical findings such as live-looking API keys, GitHub tokens, or AWS access key IDs as incident candidates until proven otherwise. For likely real credentials, revoke or rotate first, then remove from current code and consider history cleanup. After containment, improve prevention: commit only .env.example, keep .env and key files ignored, add CI or pre-commit scanning, and validate required variables before deployment.
env-secrets-manager skill FAQ
Is env-secrets-manager enough for production secret management?
No. env-secrets-manager helps audit, reason, and harden workflows, but it is not a replacement for AWS Secrets Manager, Vault, Doppler, 1Password Secrets Automation, SOPS, or a cloud KMS-backed system. Use it to improve repository hygiene, review exposure risk, and design validation and rotation steps around your chosen secret store.
How is this different from an ordinary AI prompt?
A generic prompt can suggest broad best practices. The env-secrets-manager skill gives the assistant a narrower operating model, severity categories, a concrete scanner, and references for detection, validation, and rotation. That makes outputs more likely to separate “rotate immediately” from “verify context,” and more likely to produce changes you can apply in CI, .gitignore, .env.example, and deployment checks.
Can beginners use this skill safely?
Yes, if they understand that findings may include false positives and that real credential exposure should be handled carefully. Beginners should avoid pasting live secrets into chat. Share redacted file snippets, scanner output, variable names, and repository structure instead. If the skill flags a real production credential, rotate it through the provider rather than simply deleting the line.
When should I not use this skill?
Do not rely on it as the only control for regulated environments, large monorepos with custom secret formats, binary artifacts, or organization-wide incident response. The included scanner is pattern-based, so it can miss secrets that do not match known forms and can flag harmless examples. Pair it with dedicated secret-scanning tools and provider-side audit logs for high-assurance work.
How to Improve env-secrets-manager skill
Give env-secrets-manager better inputs
The best results come from concrete context: application stack, deploy targets, CI system, secret providers, relevant file paths, .env.example, .gitignore, scanner output, and whether findings are from local, staging, or production. Redact values but preserve variable names and formats where safe, such as STRIPE_SECRET_KEY=[redacted live key format].
Reduce common failure modes
Common issues include treating examples as real leaks, missing provider-specific tokens, over-rotating harmless placeholders, or ignoring deployment drift. Ask the assistant to classify each finding as confirmed secret, likely secret, example/test value, or false positive. Also ask it to identify missing required variables, weak secret lengths, unsafe logging, and places where local .env behavior differs from production.
Iterate after the first audit
After the first env-secrets-manager guide output, request an implementation pass: update .env.example, propose .gitignore additions, draft a scripts/validate-env.sh, define CI failure rules, and write a rotation checklist for each confirmed provider. Then rerun the scanner and ask for a diff-based review so the assistant verifies that the fixes reduce risk without breaking developer onboarding.
Extend the skill for your ecosystem
If your team uses provider-specific credentials, add patterns and severity notes for those formats. Useful extensions include GCP service account keys, Azure connection strings, Stripe restricted keys, database dump credentials, Firebase config distinctions, and internal token prefixes. Keep additions specific: pattern, severity, example redaction format, false-positive notes, and recommended rotation owner.