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 KunanonJ/ai-skills-hub --skill secrets-managementgit clone --depth 1 https://github.com/KunanonJ/ai-skills-hubWrote 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/kunanonj/ai-skills-hub/secrets-management)<a href="https://agentmods.dev/skills/kunanonj/ai-skills-hub/secrets-management"><img src="https://agentmods.dev/badge/skills/kunanonj/ai-skills-hub/secrets-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/kunanonj/ai-skills-hub/secrets-management"><img src="https://agentmods.dev/badge/skills/kunanonj/ai-skills-hub/secrets-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 | $0.00023 | $0.01999 |
| Opus 5 | $0.00012 | $0.01000 |
| Sonnet 5 | $0.00005 | $0.00400 |
| Haiku 4.5 | $0.00002 | $0.00200 |
Grade A, and why
secrets-management scanned grade A with 1 finding 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 9d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- apk add curl jq This is a copy
64% identical to secrets-management — 105 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 373 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Secrets Management
Secure secrets management practices for CI/CD pipelines using Vault, AWS Secrets Manager, and other tools.
Purpose
Implement secure secrets management in CI/CD pipelines without hardcoding sensitive information.
Use this skill when
- Store API keys and credentials
- Manage database passwords
- Handle TLS certificates
- Rotate secrets automatically
- Implement least-privilege access
Do not use this skill when
- You plan to hardcode secrets in source control
- You cannot secure access to the secrets backend
- You only need local development values without sharing
Instructions
- Identify secret types, owners, and rotation requirements.
- Choose a secrets backend and access model.
- Integrate CI/CD or runtime retrieval with least privilege.
- Validate rotation and audit logging.
Safety
- Never commit secrets to source control.
- Limit access and log secret usage for auditing.
Secrets Management Tools
HashiCorp Vault
- Centralized secrets management
- Dynamic secrets generation
- Secret rotation
- Audit logging
- Fine-grained access control
AWS Secrets Manager
- AWS-native solution
- Automatic rotation
- Integration with RDS
- CloudFormation support
Azure Key Vault
- Azure-native solution
- HSM-backed keys
- Certificate management
- RBAC integration
Google Secret Manager
- GCP-native solution
- Versioning
- IAM integration
HashiCorp Vault Integration
Setup Vault
# Start Vault dev server
vault server -dev
# Set environment
export VAULT_ADDR='http://127.0.0.1:8200'
export VAULT_TOKEN='root'
# Enable secrets engine
vault secrets enable -path=secret kv-v2
# Store secret
vault kv put secret/database/config username=admin password=secret
GitHub Actions with Vault
name: Deploy with Vault Secrets
on: [push]
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Import Secrets from Vault
uses: hashicorp/vault-action@v2
with:
url: https://vault.example.com:8200
token: ${{ secrets.VAULT_TOKEN }}
secrets: |
secret/data/database username | DB_USERNAME ;
secret/data/database password | DB_PASSWORD ;
secret/data/api key | API_KEY
- name: Use secrets
run: |
echo "Connecting to database as $DB_USERNAME"
# Use $DB_PASSWORD, $API_KEY
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.
- 9d ago First seen · 373 lines · 23 tokens per session scan A 37518ec421cf
secrets-management is a skill published in the GitHub repository KunanonJ/ai-skills-hub (5 stars, last pushed 2d ago), licensed MIT. It adds 23 tokens to every session and 1,999 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 64% identical to secrets-management, differing in 105 lines, and is treated as a copy.
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