Agentvault — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Agentvault (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
AI-native credential management for autonomous agents. Store API keys with column-level Fernet encryption, issue unique avk_ keys to registered agent identities, proxy decrypted values with TTL, enforce per-agent spending budgets, log every access, and expose everything as an MCP server.
Autonomous agents need API keys to do anything useful — Stripe, OpenAI, SendGrid, your own internal services. Three bad options today:
AgentVault is option 3 as a service. One avk_ key per agent. Permission patterns (["stripe_*", "openai_*"]). Daily/monthly spending caps. Full access log. MCP-native so agents can vault.get_credential("stripe_key") and get a TTL-bound decrypted value back.
import httpx
resp = httpx.post(
"https://agentvault-api-production.up.railway.app/api/v1/vault/get/stripe_key",
headers={"X-Agent-Key": "avk_..."},
params={"cost": 0.05},
)
stripe_key = resp.json()["value"]{
"mcpServers": {
"agentvault": {
"command": "python",
"args": ["-m", "mcp_server"],
"env": {
"AGENTVAULT_API_URL": "https://agentvault-api-production.up.railway.app",
"AGENTVAULT_AGENT_KEY": "avk_..."
}
}
}
}Then in Claude: vault.get_credential("stripe_key") returns the decrypted value.
VAULT_ENCRYPTION_KEY before they hit the database. Stronger than at-rest disk encryption alone.sk_live_ / whsec_.["stripe_*", "openai_*"] scopes an agent without a full policy engine. fnmatch-based./vault/get?cost=0.05 records the spend; 429 once the cap is hit.credential_access_logs with IP, user-agent, error reason.mcp_server/ exposes list_credentials, get_credential, vault_status, set_budget, view_audit_log as stdio MCP tools.| Tier | $/mo | Agents | Credentials | Audit | Rotation | Budgets | Team |
|---|---|---|---|---|---|---|---|
| Free | $0 | 3 | 10 | – | – | – | – |
| Pro | $49 | 25 | 100 | ✓ | ✓ | – | – |
| Business | $149 | ∞ | ∞ | ✓ | ✓ | ✓ | ✓ |
| Enterprise | $499 | ∞ | ∞ | ✓ | ✓ | ✓ | ✓ + SSO + compliance |
git clone https://github.com/bch1212/agentvault
cd agentvault
pip install -r requirements.txt
cp .env.example .env # then fill in VAULT_ENCRYPTION_KEY and DATABASE_URL
python -m api.mainRun tests:
python -m pytest -v # 34 testsDeploy to Railway:
bash deploy.shapi/
├── main.py # FastAPI + lifespan
├── database.py # Async SQLAlchemy (auto-rewrites postgresql:// → postgresql+asyncpg://)
├── services/
│ ├── encryption.py # Fernet encrypt/decrypt
│ ├── auth.py # avk_ key gen + SHA-256 hashing
│ ├── budget.py # Per-agent spend tracking
│ ├── audit.py # Access log
│ └── alerts.py # SendGrid alerts
├── middleware/ # X-Agent-Key + Bearer auth
└── routers/ # users, agents, credentials, vault, audit, budgets, billing
mcp_server/ # FastMCP stdio server
tests/ # 34 tests, SQLite in-memoryMIT.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.