Borrowing it
Nothing to install: this file belongs to vishnu2kmohan/mcp-server-langgraph. 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/vishnu2kmohan/mcp-server-langgraph/main/.claude/commands/create-adr.mdgit clone --depth 1 https://github.com/vishnu2kmohan/mcp-server-langgraphWrote 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/commands/vishnu2kmohan/mcp-server-langgraph/create-adr)<a href="https://agentmods.dev/commands/vishnu2kmohan/mcp-server-langgraph/create-adr"><img src="https://agentmods.dev/badge/commands/vishnu2kmohan/mcp-server-langgraph/create-adr/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/commands/vishnu2kmohan/mcp-server-langgraph/create-adr"><img src="https://agentmods.dev/badge/commands/vishnu2kmohan/mcp-server-langgraph/create-adr.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 | $0.00021 | $0.01983 |
| Opus 5.5 | $0.00008 | $0.00793 |
| Sonnet 5.5 | $0.00004 | $0.00397 |
| Haiku 4.5 | $0.00002 | $0.00198 |
Grade A, and why
create-adr 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 1mo 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 — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Architecture Decision Record
You are tasked with creating a new Architecture Decision Record (ADR) for the mcp-server-langgraph project. This command automates ADR creation with intelligent auto-filling and dual format generation.
Project Context
Project: MCP Server LangGraph Version: 2.8.0 Technology Stack:
- Python 3.10+ with LangGraph
- Multi-provider LLM via LiteLLM (Anthropic, OpenAI, Google, Azure, AWS, Ollama)
- Authentication: JWT + Keycloak SSO
- Authorization: OpenFGA (Zanzibar-style RBAC)
- Observability: OpenTelemetry + LangSmith
- Session Storage: Redis + PostgreSQL
- Deployment: Kubernetes, GKE, Cloud Run, Helm
Your Task
Step 1: Gather Information
Ask the user for the following information using the AskUserQuestion tool:
Question 1: What is the title of the ADR?
- Header: "ADR Title"
- Provide text input for the title
- Example: "GraphQL API Design for Agent Interactions"
Question 2: What category does this ADR fall under?
- Header: "Category"
- Options:
- Architecture: Core architectural patterns
- Infrastructure: Deployment, scaling, infrastructure
- Security: Authentication, authorization, secrets
- Observability: Monitoring, logging, tracing
- Testing: Testing strategies and patterns
- Data: Data storage, caching, persistence
- Integration: External service integration
- Performance: Performance optimization, caching
Question 3 (Optional): Are there related ADRs? (comma-separated numbers, e.g., "1,3,15")
- Header: "Related ADRs"
- Allow text input for comma-separated ADR numbers
Step 2: Determine Next ADR Number
-
Use
Bashto find the highest numbered ADR:ls adr/adr-*.md | sed 's/.*adr-0*\([0-9]*\)-.*/\1/' | sort -n | tail -1 -
Add 1 to get the next ADR number
-
Format as 4-digit zero-padded number (e.g., 0040)
Step 3: Auto-Link Related ADRs
If the user didn't specify related ADRs, search for them automatically based on keywords in the title:
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.
- 1mo ago First seen · 201 lines · 21 tokens per session scan A f918875114b8
create-adr is a command published in the GitHub repository vishnu2kmohan/mcp-server-langgraph (4 stars, last pushed 2d ago), licensed MIT. It adds 21 tokens to every session and 1,983 once invoked, about $0.0001 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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