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 skills/dsfaccini/siigo-mcp/infrastructurenpx skills add dsfaccini/siigo-mcp --skill infrastructuregit clone --depth 1 https://github.com/dsfaccini/siigo-mcpWrote 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/dsfaccini/siigo-mcp/infrastructure)<a href="https://agentmods.dev/skills/dsfaccini/siigo-mcp/infrastructure"><img src="https://agentmods.dev/badge/skills/dsfaccini/siigo-mcp/infrastructure.svg" alt="Measured on agentmods" 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 | $0.00032 | $0.00612 |
| Opus 5 | $0.00016 | $0.00306 |
| Sonnet 5 | $0.00006 | $0.00122 |
| Haiku 4.5 | $0.00003 | $0.00061 |
Grade A, and why
infrastructure 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 5d 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Infrastructure Expert
Skill for deployment, Docker, and cloud infrastructure.
When to Use
Invoke this skill when working on:
- Railway deployment configuration
- Dockerfile optimization
- Environment variable management
- Future database (Postgres) setup
- Future blob storage (Cloudflare R2) setup
Current Stack
Deployment: Railway
- Platform: Railway
- Deployment: Dockerfile-based
- Environment variables via Railway dashboard
Container: Docker
- Base image:
python:3.13-slim - Package manager: uv (fast Python package manager)
- Entry point: FastMCP server
Observability: Logfire
- Pydantic Logfire
- Automatic OpenTelemetry instrumentation
- Configure via
LOGFIRE_TOKENenv var
Dockerfile Pattern
FROM python:3.13-slim
WORKDIR /app
# Install uv
COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv
# Copy dependency files
COPY pyproject.toml uv.lock ./
# Install dependencies (cached layer)
RUN uv sync --frozen --no-dev
# Copy source code
COPY src/ ./src/
# Run server
CMD ["uv", "run", "python", "-m", "siigo_mcp.server"]
Environment Variables
Required
SIIGO_USERNAME: Siigo API usernameSIIGO_ACCESS_KEY: Siigo API access keySIIGO_PARTNER_ID: Partner identifier for API calls
Optional
LOGFIRE_TOKEN: Pydantic Logfire token for observabilityLOG_LEVEL: Logging level (default: INFO)
Future Infrastructure
Database: PostgreSQL
- Use case: Caching, session state, audit logs
- Railway provides managed Postgres
- Connection via
DATABASE_URLenv var
Blob Storage: Cloudflare R2
- Use case: PDF storage, document archival
- S3-compatible API
- Credentials:
R2_ACCESS_KEY_ID,R2_SECRET_ACCESS_KEY,R2_BUCKET
Railway Deployment
Setup
- Connect GitHub repository
- Configure environment variables
- Railway auto-detects Dockerfile
- Automatic deploys on push to main
Health Check
Add health endpoint for Railway:
@mcp.resource("health://status")
async def health_check() -> str:
return "ok"
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.
- 5d ago First seen · 104 lines · 32 tokens per session scan A 50bb09561808
infrastructure is a skill published in the GitHub repository dsfaccini/siigo-mcp (1 stars, last pushed 8mo ago), licensed MIT. It adds 32 tokens to every session and 612 once invoked, about $0.0002 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 2026-08-31.
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