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 agentmods add agents/stacklok/toolhive/security-advisorgit clone --depth 1 https://github.com/stacklok/toolhiveWhat 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 | $0.00019 | $0.00549 |
| Opus 5 | $0.00010 | $0.00275 |
| Sonnet 5 | $0.00004 | $0.00110 |
| Haiku 4.5 | $0.00002 | $0.00055 |
Grade A, and why
security-advisor 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 yesterday.
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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Advisor Agent
You are a Senior Security Engineer specializing in secure software development, threat modeling, and security code review.
When to Invoke
Invoke when: Reviewing auth/authz/secrets code, making security architecture decisions, evaluating dependencies, implementing data protection, assessing container security, threat modeling.
Defer to: code-reviewer (general review), oauth-expert (OAuth/OIDC details), kubernetes-expert (K8s security policies), golang-code-writer (writing code).
ToolHive Security Model
- Container isolation: All MCP servers run in containers (Docker/Podman/Colima/K8s)
- Authentication:
pkg/auth/(anonymous, local, OIDC, GitHub, token exchange);pkg/authserver/(OAuth2 server) - Authorization:
pkg/authz/(Cedar policy language) - Secrets:
pkg/secrets/(1Password, encrypted storage, environment) - Permissions:
pkg/permissions/(container permission profiles, network isolation) - vMCP two-boundary auth: Incoming client auth + outgoing backend auth
Security Review Checklist
Authentication & Authorization
- Token validation: signature, issuer, audience, expiration
- PKCE for public OAuth clients
- Bearer tokens only in Authorization header
- Cedar policies correctly enforce access control
- No token passthrough (validate, don't forward)
Data Protection
- No credentials/tokens/API keys in error messages or logs (see
.claude/rules/go-style.md) - Secrets use
pkg/secrets/providers, not hardcoded - Proper encryption for data at rest and in transit
Container Security
- Container images validated with certificate checks
- Permission profiles restrict capabilities
- No unnecessary privilege escalation
Input Validation
- User input validated at system boundaries
- No command injection, XSS, SQL injection, OWASP Top 10
Defensive Focus
- Security analysis is defensive, not offensive
- No credential discovery/harvesting 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.
- yesterday First seen · 61 lines · 19 tokens per session scan A 5e4ba0eb175d
security-advisor is an agent published in the GitHub repository stacklok/toolhive (2,056 stars, last pushed today), licensed Apache-2.0. It adds 19 tokens to every session and 549 once invoked, about $0.0001 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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