Use this skill when a task involves adding, removing, or renaming environment variables across the project's repos OR verifying env var documentation before a release. Don't use it for runtime env introspection in a live cluster (that requires exec access to the running service).
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Use this skill when a task involves adding, removing, or renaming environment variables across the project's repos OR verifying env var documentation before a release. Don't use it for runtime env introspection in a live cluster (that requires exec access to the running service).
Audit environment variables across all of the project's repositories (see .claude/project.json → repos) to find missing, unused, undocumented, or inconsistent env vars and flag security issues. Produce a structured markdown report with file:line citations. Related skills: gcp-cicd-auth (for cloud credential variables), deployment (for CI/CD variable plumbing and runtime values injection).
When to use this skill
Add or remove an env var in any of the project's repos and verify cross-repo consistency
Prepare a release and confirm all required env vars are documented in env.example
Review a PR that touches values.yaml, env.example, getServerEnv(), or clientEnv
Investigate a deployment failure caused by a missing or misspelled env var
When NOT to use this skill
Checking which env vars are populated in a running cluster or pod -- requires exec access to the running service, not static analysis
Adding a new secret to the cloud provider's secret manager -- use gcp-cicd-auth
Reviewing Prisma schema, API routes, or any non-env-var code
Writing unit tests that use env var fixtures -- test fixtures intentionally use placeholder values
Tools/libraries: Read, Grep, Glob (no write access)
Repos in scope: the project's canonical repo list from .claude/project.json → repos, plus the device/edge repo (device) if the project has one. Typical shape: the main app, other apps, the infrastructure repo, and the device repo.
Inputs
repos: string[] -- list of repository root paths to audit (default: the project's full repo list above)
focus: string (optional) -- specific env var name or prefix to audit (e.g., NEXT_PUBLIC_, MOCK_MODE)
Outputs
Format: Markdown report saved to the path specified by the caller.
Length budget: Max 150 lines for the report body. Consolidate tables with more than 20 rows into a top-20 list sorted by severity, with a count of omitted items.
Output template:
N
N
N
N
HIGH | MEDIUM (if dynamic env access patterns detected)
| Repo | Defined | Used | Documented | Issues |
|------|---------|------|------------|--------|
| apps/ | 12 | 14 | 10 | 4 |
| Variable | Used at | Expected in |
|----------|---------|-------------|
| | | |
| Variable | Declared in | Last referenced |
|----------|-------------|-----------------|
| | | nowhere |
| Issue | Location | Severity |
|-------|----------|----------|
| Hardcoded API key | | critical |
[Dynamic env access patterns that could not be resolved statically]
## Environment Variables Report
**Repositories Checked:**
**Total Variables Found:**
**Documented in env.example:**
**Missing from examples:**
**Confidence:**
### By Repository
<mainApp>
### Missing Variables
`DATABASE_URL`
`src/lib/db/index.ts:8`
`env.example`
### Unused Variables
`OLD_API_URL`
`env.example:3`
### Security Issues
`src/lib/maps.ts:4`
### Low-Confidence Findings
Procedure
Glob for env-related files -- Use patterns **/.env*, **/env.example, **/values*.yaml, **/*.populated.yaml, **/env/server.ts, **/env/client.ts.
Glob operations across different repos are independent -- run all repo scans as parallel tool calls.
Checkpoint: at least one env file found per repo.
Grep for env var usage per repo (run all repo greps in parallel):
Python repos (e.g., the device/edge repo): os.environ.get(, os.getenv( in src/
Node/Next.js apps (e.g., the main app): process.env. in src/, NEXT_PUBLIC_ in src/ (incl. access via getServerEnv() / clientEnv helpers)
Infrastructure / service config repos: env: sections and {{ .Values.* }} references in templates/, keys in values.yaml
Exclude node_modules/, .next/, __pycache__/, venv/
Checkpoint: count of unique var names per repo.
Cross-reference -- Compare defined vars vs used vars vs documented vars. Documentation sources: env.example, plus README.md / CLAUDE.md / setup guides mentions. Flag: (a) used but not in env.example, (b) in env.example but never used, (c) inconsistent naming across repos for the same logical var.
Checkpoint: cross-reference table populated.
Security check -- Flag hardcoded strings that look like secrets (API keys, passwords, tokens) in source code. Verify sensitive vars use the runtime's secret manager (not committed values.yaml). Verify *.populated.yaml files are in .gitignore. NEVER print actual secret values in the report -- only flag presence and file:line location.
Checkpoint: security findings logged.
Detect dynamic access -- Grep for process.env[ (bracket notation) and os.environ[ patterns. Mark these as low-confidence findings since the var name cannot be resolved statically.
Checkpoint: dynamic access patterns counted.
Compile report -- Assemble findings into the output template above. Every finding must include file:line citation. Respect the 150-line length budget.
Checkpoint: report complete, all sections present.
Known variables (reference baseline)
Build the expectation set from the project itself -- the env.example files in each repo, the project's CLAUDE.md, and any setup guides. Typical shapes to expect (always verify against current code, never assume exhaustive):
False positives from generated code: symptom: hundreds of env var "findings" from .next/ or node_modules/ -> detect: finding count >50 for a single repo -> fix: verify exclusion patterns are applied, re-run scan
Dynamic access missed: symptom: report says "all vars documented" but deployment fails with missing var -> detect: check for process.env[ bracket patterns -> fix: grep for bracket notation, add to low-confidence section
Secret value leaked in report: symptom: actual API key visible in report output -> detect: grep report text for patterns like sk-, AIza, base64 strings -> fix: immediately delete the report, re-run with value-scrubbing check, notify user
Related skills
gcp-cicd-auth -- defer to this skill for GCP-specific credential variables and Workload Identity Federation setup
deployment -- compose with this skill when CI/CD pipeline variables need to match application env vars
deployment -- compose with this skill when verifying that Cloud Run values match application expectations
deps-check -- shares the same canonical five-repo scope; align repo lists when auditing both env vars and dependencies
How to use
What it does
This skill audits environment variables across every repository in your project. It reads code, config, and example files without writing anything, then reports which variables are used but undocumented, documented but unused, named inconsistently across repos, or look like hardcoded secrets. Every finding comes with a file:line citation so you can go straight to the line that matters.
When to use it
You added, removed, or renamed an env var and want to confirm every repo agrees on the name and the default.
You are cutting a release and need proof that all required variables appear in env.example.
You are reviewing a PR that touches service config, env.example, or a typed env accessor.
A deployment failed and you suspect a missing or misspelled variable.
When not to use it
You need the values actually set inside a running pod — that requires exec access to the live service, not static analysis.
You are adding a secret to a cloud secret manager — use the gcp-cicd-auth skill.
You are wiring CI/CD pipeline variables rather than auditing application code — use the deployment skill.
You are auditing package versions instead of variables — use the deps-check skill.
How to invoke
Skill(skill: "core:env-check")
Invoke it directly, or ask in plain language ("check env vars across the repos") and the skill activates on its own.
Inputs
repos — list of repository root paths to audit — optional; defaults to the project's full repo list from .claude/project.json → repos.
focus — a single variable name or a prefix such as NEXT_PUBLIC_ — optional; narrows the audit to matching variables.
Report path — where the markdown report is written — optional; you supply it if you want the report saved somewhere specific.
What you get back
A markdown report, capped at 150 lines, with a summary header (repos checked, variables found, documented, missing, confidence level) followed by tables: per-repo counts, missing variables, unused variables, security issues, and any dynamic access patterns the scan could not resolve statically. Secret values are never printed — only the location where one appears. The skill stops and asks you first if it finds an apparent secret file outside .gitignore, more than five undocumented variables, or heavy dynamic access that makes the result unreliable.
Worked example
Skill(skill: "core:env-check")
Focus: BACKEND_API_URL
Greps the device repo and the infrastructure repo in parallel:
src/agents/main_agent.py:12 default "http://localhost:3000"
charts/<device>/values.yaml:18 "http://<mainApp>:3000"
Cross-references env.example: not found.
Report entry:
| `BACKEND_API_URL` | `src/agents/main_agent.py:12` | `env.example` |
The naming is consistent and the differing defaults are expected (local dev vs in-cluster DNS), so the one real finding is the missing env.example entry.
Related
deps-check — same repo scope, but for package versions instead of variables.
deployment — pair with it when pipeline variables must match what the application expects.
gcp-cicd-auth — use it for cloud credential variables and federated identity setup.
security-audit — broader vulnerability sweep when secrets are only part of the concern.
