gremlin-mcp: Instructions file for Codex

AGENTS.md

gremlin-mcp AGENTS.md is an instructions file for Codex, OpenCode from kpritam/gremlin-mcp. It costs 2,848 tokens per session, scanned A, original, MIT.

Repository instructions for Gremlin MCP, a TypeScript project that connects coding-agent tools with Gremlin, a graph database query language and system. They define engineering rules for code, data models, schemas, errors, and changes.

In plain words
What is it for?
Developing or reviewing TypeScript code, Gremlin schemas and queries, data models, error handling, tests, and automated contributions in this repository.
Why use it?
They tell coding agents how to make changes that fit the repository’s architecture and handle data and side effects consistently.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is kpritam/gremlin-mcp's own configuration. It tells Codex and OpenCode how to work on gremlin-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything gremlin-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to kpritam/gremlin-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.

Copy the file
curl -O https://raw.githubusercontent.com/kpritam/gremlin-mcp/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/kpritam/gremlin-mcp

Made for: Codex, OpenCode.

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Per session 2,848 This file is loaded in full into every session.
When invoked 2,848 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.02848 $0.02848
Opus 5.5 $0.01139 $0.01139
Sonnet 5.5 $0.00570 $0.00570
Haiku 4.5 $0.00285 $0.00285

Measured 2mo ago against content hash 1e76634467c6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gremlin-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 2mo 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.

AGENTS.md · 330 lines

How it starts

The opening of the file, as written. The whole thing — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI AGENTS GUIDELINES

1. Title & Purpose

Authoritative operational standard for all AI coding agents (Copilot, Claude, GPT, others) contributing to this repository. Defines mandatory engineering rules, workflow protocol, architectural constraints, and decision heuristics to ensure consistent, safe, high‑quality, effect‑based TypeScript contributions.

2. Scope (What this file governs / What it does not)

Governs: Code generation, refactors, tests, docs authored by AI; architectural changes; effect modeling; schema & Gremlin interactions; error & data modeling; PR structure; automation hygiene. Does NOT govern: Human editorial style guides, product roadmap, infrastructure ops, non-code repository assets. If a conflict exists with LICENSE or SECURITY.md, those take precedence.

3. Core Principles (short list)

  1. KISS – minimal viable abstraction.
  2. YAGNI – add complexity only with a concrete second use.
  3. DRY – no duplicated logic; prefer reuse/composition.
  4. Purity – isolate side effects at explicit boundaries.
  5. Explicitness – types, errors, contracts are declared, not inferred from context.
  6. Determinism – schema generation & transformations must be reproducible.
  7. Composability – build small effectful units combined via functional operators.
  8. Safety – no unchecked external data, no silent failures.
  9. Observability of intent – names reveal purpose; no hidden coupling.
  10. Focus – each change addresses one coherent concern.

4. Operational Rules (MUST / MUST NOT)

Architecture & Design

MUST:

  • Preserve existing layered separation (config / gremlin services / schema / handlers / utils / models).
  • Keep modules single‑purpose; split when a file exceeds clearly separated responsibilities (heuristic: > ~300 lines with 2+ conceptual domains).
  • Encapsulate traversal construction behind utilities/services; expose intention, not query strings.
  • Represent cross‑cutting concerns (config, schema cache, connection) via injectable services.
  • Maintain deterministic schema assembly (stable ordering, idempotent recomputation, cache invalidation explicit).
  • Introduce an abstraction only after a second concrete call site or clear complexity reduction.
  • Ensure new layers or services declare explicit dependency requirements (no implicit global access).

Read the full file on GitHub · 330 lines

Changes

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.

  1. 2mo ago First seen · 330 lines · 2,848 tokens per session scan A 1e76634467c6

Subscribe to this mod's changes

gremlin-mcp AGENTS.md is an instructions file published in the GitHub repository kpritam/gremlin-mcp (9 stars, last pushed 1y ago), licensed MIT. It adds 2,848 tokens to every session, about $0.0114 per session on Opus 5.5. 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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