secrets-management
Decision framework for storing, rotating, and scanning secrets across cloud, CI, and Kubernetes. Provider deep-dives live upstream (links in § Provenance) — this skill is the predicate, not the per-vendor cookbook. Sunset-policy compliant.
When to use
- Designing where a new secret lives (env var, Vault, AWS Secrets Manager, Azure KV, GCP SM, GitHub/GitLab CI, k8s).
- Reviewing a diff that introduces a credential, API key, signing key, or DB password.
- Setting up secret rotation for an existing application.
- Wiring secret-scanning gates into pre-commit, CI, or org-policy.
Do NOT use when:
- The secret is project-AWS-only and
aws-infrastructure already covers the placement — route there.
- The work is a security audit of running code — route to
security-audit or threat-modeling.
- The decision is which cipher to use for at-rest encryption — read the provider's KMS docs directly.
Decision framework
Step 1 — Pick the store
Ephemeral, dev-only, never leaves the laptop → .env (gitignored). Stop.
Single-cloud, single-app → that cloud's native store
(AWS Secrets Manager / Azure Key Vault /
GCP Secret Manager).
Multi-cloud OR on-prem hybrid → HashiCorp Vault (or cloud-agnostic equivalent).
CI-only (deploy keys, signing tokens) → GitHub/GitLab repo+environment secrets;
scope to environment (production/staging).
Kubernetes workload secrets → External Secrets Operator pulling from
the canonical store above; never hand-rolled
k8s `Secret` objects committed to git.
Cross-tenant / cross-org shared secret → don't. Re-architect; shared secrets are an
outage and a breach class on their own.
AI-agent / MCP-server credential → env-var indirection in the agent/MCP config
(`.mcp.json`, agent-config, CI YAML) — the
value lives in the store above; the config
holds only `${ENV_VAR}`. Never a raw key
inline, and the config path is gitignored if
it can hold one.
Step 2 — Pick the access pattern
Application reads at boot → fetch once, hold in memory; re-fetch on rotation event.
Application reads per-request → cache with TTL ≤ rotation period / 2.
Short-lived workload (Lambda, Job) → fetch per-invocation; rely on platform IAM.
Long-lived workload → leased / dynamic credentials (Vault DB engine,
AWS IAM role) — never static creds.
Human access → no shared logins; per-user identity + audit.
Step 3 — Define the rotation contract
Every secret MUST have:
- Owner — team/person responsible for rotation; tracked in code or runbook.
- Period — calendar trigger (e.g. 90 days for static creds, hours/minutes for dynamic).
- Mechanism — automated (Lambda + Secrets Manager rotation, Vault dynamic secret, IAM role) or documented manual procedure.
- Verification — post-rotation health check; alert if old credential still observed in use after rotation grace window.
Static secrets without a rotation mechanism are a deferred incident — refuse to merge.
Step 4 — Wire the scanning gates
Three layers, all required:
Pre-commit → gitleaks / TruffleHog / detect-secrets pre-commit hook.
CI → server-side scan on every PR; block merge on high-confidence finding.
Org policy → push-protection at the SCM (GitHub Advanced Security secret scanning,
GitLab Secret Detection); rotate any leaked secret immediately.
A leaked secret is rotated, not deleted. Git history retention defeats deletion.
Step 5 — Egress controls
Logs → mask before write; CI runners must mark secrets as masked.
Stack traces → never include secret values; sanitize at the boundary.
Error responses → never echo the secret back, even on failure.
Telemetry / APM → strip from request/response captures; allowlist headers.
Step 6 — Runtime guard: block before the secret lands
The scanning gates (Step 4) are the CI/pre-commit nets. The earliest gate is
the agent itself: before it writes a credential into a tracked file or stages a
commit, the secret-vcs-guard rule runs the
secret_detector library and, on a hit,
STOPS → shows the match (file:line · kind · masked · why) → asks via numbered
options → offers the tiered alternative below. It never silently commits and
never silently strips. VCS-agnostic: the same detector runs against the diff for
git, SVN, and Mercurial (SVN/hg native hooks are server-side, a stronger but
later net). The deterministic CI backstop is check_secret_leak — the agent
gate is one layer, not the whole defense.
False positives — audited allowlist, never a global mute. Suppress a
confirmed non-secret with an inline # secret-allow marker on the line, or a
narrow entry (path or path:line) in a repo-root .secret-allow file. Each
.secret-allow entry SHOULD carry a one-line justification comment (# …) so it
is reviewable in the diff; the entry is line-scoped, so it cannot mute a new
secret elsewhere in the same file.
Tiered alternative to suggest when a secret is caught (refines Step 1 for the
in-the-moment fix; cite OWASP Secrets Management Cheat Sheet + CWE-798 + 12-factor):
Solo / local, dev-only → gitignored .env + committed .env.example (keys, no values).
Team / production app → cloud secret manager (AWS/GCP/Azure) or Vault / Doppler.
Kubernetes / GitOps → SOPS (encrypt values in the committed file) or Sealed Secrets.
CI / deploy → OIDC federation to the cloud — no long-lived stored credential.
Remediation — a secret already reached VCS
Order matters; a history rewrite does not un-leak an already-pushed secret:
- Rotate / revoke the credential now. Immediate, and the only step that
actually stops the damage — assume it is compromised the moment it was pushed.
git rm / a deletion commit is insufficient — the secret stays in history
(git log, blame, prior commits, clones, forks, CI logs).
- Purge history with
git filter-repo (preferred) or BFG Repo-Cleaner.
- Force-push + coordinate re-clones; forks and existing clones still hold the
old objects — which is why step 1 is the real fix.
Procedure: Apply to a new secret
- Inspect the existing secret inventory and IaC for store conventions; run Step 1 and lock the store decision in code/IaC.
- Define the access pattern (Step 2); choose static-vs-dynamic explicitly.
- Write the rotation contract (Step 3) into the runbook before the secret ships.
- Verify the three scanning gates (Step 4) cover the repo.
- Audit egress paths (Step 5) for the new secret class.
- Hand the design to a reviewer; cite this skill.
Output format
- Secret-inventory entry: name · store · access-pattern · owner · rotation-period · mechanism.
- Scanner-gate matrix: layer · tool · scope · failure mode.
- Egress-control checklist with sign-off per category.
Gotcha
- "We rotate in Secrets Manager" — but the application caches the value forever. Cache TTL must be ≤ rotation grace.
- External Secrets Operator pulls into a k8s
Secret; that Secret is base64, not encrypted. Threat-model node access accordingly.
- GitHub environment secrets are NOT available on
pull_request events from forks — designs that rely on them silently break for external contributors.
- Vault dynamic creds expire faster than long-running connection pools assume; close + re-acquire on lease near-expiry, don't wait for the failure.
- Pre-commit scanners fire only when developers install the hook — CI scanners are the load-bearing gate.
- Agent/MCP config is a new leak surface. A raw provider key pasted into
.mcp.json, an agent-config file, or a CI workflow YAML is a committed secret — the scanning gates (Step 4) must cover those paths too, and the config should reference ${ENV_VAR}, never the literal. An MCP server that ingests untrusted content and holds a live key is the egress leg of the lethal trifecta — see lethal-trifecta-guard.
Do NOT
- Do NOT commit a secret, even to a private repo. Rotate any leaked secret; deletion does not work.
- Do NOT pass secrets via CLI args (
ps exposes them) — use env or stdin.
- Do NOT echo secrets in logs, stack traces, error responses, or APM captures.
- Do NOT hand-roll Kubernetes
Secret objects committed to git — use External Secrets Operator.
- Do NOT inline the per-provider cookbooks into this skill — externalize per Sunset Policy.
Auto-trigger keywords
- secrets management
- secret rotation
- vault / aws secrets manager / azure key vault / gcp secret manager
- external secrets operator
- secret scanning / gitleaks / trufflehog
- credential leak
Provenance
- Adopted from: an external reference (internal provenance, redacted) — Sunset Policy applied: a large provider cookbook reduced to a ~140-line decision framework; per-provider deep-dives externalized to upstream docs below.
- Externalized provider docs:
- Cross-linked:
aws-infrastructure, security-audit, threat-modeling, security.
- Provenance registry:
agents/settings/contexts/skills-provenance.yml (entry: secrets-management).
- Iron-Law floor:
verify-before-complete, skill-quality, non-destructive-by-default.