Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ancoleman/ai-design-components --skill secret-managementgit clone --depth 1 https://github.com/ancoleman/ai-design-componentsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ancoleman/ai-design-components/secret-management)<a href="https://agentmods.dev/skills/ancoleman/ai-design-components/secret-management"><img src="https://agentmods.dev/badge/skills/ancoleman/ai-design-components/secret-management/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ancoleman/ai-design-components/secret-management"><img src="https://agentmods.dev/badge/skills/ancoleman/ai-design-components/secret-management.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00050 | $0.02789 |
| Opus 5 | $0.00025 | $0.01394 |
| Sonnet 5 | $0.00010 | $0.00558 |
| Haiku 4.5 | $0.00005 | $0.00279 |
Grade A, and why
managing-secrets scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 399 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Managing Secrets
Secure storage, rotation, and delivery of secrets (API keys, database credentials, TLS certificates) for applications and infrastructure.
When to Use This Skill
Use when:
- Storing API keys, database credentials, or encryption keys
- Implementing secret rotation (manual or automatic)
- Syncing secrets from external stores to Kubernetes
- Setting up dynamic secrets (database, cloud providers)
- Scanning code for leaked secrets
- Implementing zero-knowledge patterns
- Meeting compliance requirements (SOC 2, ISO 27001, PCI DSS)
Quick Decision Frameworks
Framework 1: Choosing a Secret Store
| Scenario | Primary Choice | Alternative |
|---|---|---|
| Kubernetes + Multi-Cloud | Vault + ESO | Cloud Secret Manager + ESO |
| Kubernetes + Single Cloud | Cloud Secret Manager + ESO | Vault + ESO |
| Serverless (AWS Lambda) | AWS Secrets Manager | AWS Parameter Store |
| Multi-Cloud Enterprise | HashiCorp Vault | Doppler (SaaS) |
| Small Team (<10 apps) | Doppler, Infisical | 1Password Secrets Automation |
| GitOps-Centric | SOPS (git-encrypted) | Sealed Secrets (K8s-only) |
Decision Tree:
- Kubernetes? → External Secrets Operator (ESO) with chosen backend
- Single cloud? → Cloud-native (AWS/GCP/Azure)
- Multi-cloud/on-prem? → HashiCorp Vault
- GitOps? → SOPS or Sealed Secrets
Framework 2: Static vs. Dynamic Secrets
| Secret Type | Use Dynamic? | TTL | Solution |
|---|---|---|---|
| Database credentials | YES | 1 hour | Vault DB engine |
| Cloud IAM (AWS/GCP) | YES | 15 min | Vault cloud engine |
| SSH/RDP access | YES | 5 min | Vault SSH engine |
| TLS certificates | YES | 24 hours | Vault PKI / cert-manager |
| Third-party API keys | NO | Quarterly | Vault KV v2 (manual rotation) |
Framework 3: Kubernetes Secret Delivery
| Method | Use Case | Rotation | Restart Required |
|---|---|---|---|
| External Secrets Operator | Static secrets, periodic sync | Polling (1h) | Yes |
| Secrets Store CSI Driver | File-based, watch rotation | inotify | No |
| Vault Secrets Operator | Vault-specific, dynamic | Automatic renewal | Optional |
What ships with it
15 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- examples/dynamic-db-credentials/go-vault-client.go 6.9 KB
- examples/dynamic-db-credentials/python-hvac.py 5.3 KB runs code
- examples/dynamic-db-credentials/typescript-node-vault.ts 5.8 KB runs code
- examples/secret-scanning/.gitleaks.toml 2.8 KB
- examples/secret-scanning/pre-commit 1.4 KB
- examples/vault-eso-setup/external-secrets-operator.yaml 3.9 KB
- examples/vault-eso-setup/vault-deployment.yaml 2.6 KB
- outputs.yaml 11 KB
- references/cloud-providers.md 6.2 KB
- references/kubernetes-integration.md 17 KB
- references/rotation-patterns.md 17 KB
- references/secret-scanning.md 11 KB
- references/vault-architecture.md 23 KB
- references/zero-knowledge.md 12 KB
- scripts/setup_vault.sh 5.2 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 399 lines · 50 tokens per session scan A 4325ff6482ac
managing-secrets is a skill published in the GitHub repository ancoleman/ai-design-components (517 stars, last pushed 9mo ago), licensed MIT. It adds 50 tokens to every session and 2,789 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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