Borrowing it
Nothing to install: this file belongs to ralforion/orionbelt-semantic-layer-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ralforion/orionbelt-semantic-layer-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/ralforion/orionbelt-semantic-layer-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/instructions/ralforion/orionbelt-semantic-layer-mcp/agents-md)<a href="https://agentmods.dev/instructions/ralforion/orionbelt-semantic-layer-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/ralforion/orionbelt-semantic-layer-mcp/agents-md/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/instructions/ralforion/orionbelt-semantic-layer-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/ralforion/orionbelt-semantic-layer-mcp/agents-md.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 | $0.01627 | $0.01627 |
| Opus 5 | $0.00813 | $0.00813 |
| Sonnet 5 | $0.00325 | $0.00325 |
| Haiku 4.5 | $0.00163 | $0.00163 |
Grade A, and why
orionbelt-semantic-layer-mcp AGENTS.md 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 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.
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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance to coding agents when working with code in this repository.
What this is
A thin MCP server that wraps the OrionBelt Semantic Layer (OBSL) REST API. It contains no semantic engine and no business logic — every tool delegates over HTTP to the API and formats the response. All meaning lives in the API repo, which is the source of truth for endpoints, schemas, and behavior:
- API repo:
../orionbelt-semantic-layer(GitHub:ralforion/orionbelt-semantic-layer)
The entire implementation is a single module, server.py (~3k lines). Tests live in tests/test_server.py. The hatch build ships only server.py.
Commands
uv run pytest # full suite
uv run pytest tests/test_server.py::NAME # single test (NAME = test function or Class::method)
uv run pytest -q -k SUBSTRING # filter by name substring
uv run ruff check . # lint (must be clean before done)
uv run ruff format server.py tests/ # format
./scripts/setup-hooks.sh # install pre-commit hooks (runs ruff)
uv run server.py # run locally (reads .env; see .env.example)
Tests mock the API with respx (httpx interception) and pytest-asyncio in auto mode — they never hit a live API. When changing an endpoint call, update its respx mock in the same test.
Architecture (the non-obvious parts)
Delegation layer. Tools call thin request helpers, never httpx directly:
_api_request (base, with one-shot retry on session expiry) → _session_request (multi-model, prefixes /v1/sessions/{id}/models/{mid}) and _shortcut_request (single-model, top-level /v1/...). _parse_json / _raise_api_error normalize responses and surface API error detail as ToolError.
Two API modes, detected once at startup via GET /v1/settings (_detect_api_mode), then frozen:
- single-model — the API has one pre-loaded model; tools hit shortcut routes (
/v1/schema,/v1/query/execute, …) andmodel_idis implicit. - multi-model — tools operate on session-scoped routes and take a
model_id; sessions are auto-created (_ensure_session) and deleted on shutdown.
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 · 75 lines · 1,627 tokens per session scan A 549686ba199a
orionbelt-semantic-layer-mcp AGENTS.md is an instructions file published in the GitHub repository ralforion/orionbelt-semantic-layer-mcp (3 stars, last pushed today), licensed Apache-2.0. It adds 1,627 tokens to every session, about $0.0081 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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