Borrowing it
Nothing to install: this file belongs to nobrainer-tech/langflow-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/nobrainer-tech/langflow-mcp/master/AGENTS.mdgit clone --depth 1 https://github.com/nobrainer-tech/langflow-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/nobrainer-tech/langflow-mcp/agents-md)<a href="https://agentmods.dev/instructions/nobrainer-tech/langflow-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/nobrainer-tech/langflow-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/nobrainer-tech/langflow-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/nobrainer-tech/langflow-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 | $0.01576 | $0.01576 |
| Opus 5.5 | $0.00630 | $0.00630 |
| Sonnet 5.5 | $0.00315 | $0.00315 |
| Haiku 4.5 | $0.00158 | $0.00158 |
Grade A, and why
langflow-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 18d 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md - Ultimate Developer Prompt for High-Quality Code Generation
NoBrainer.Tech Flow
Use the latest stable NoBrainer.Tech Flow for non-trivial work in this project. At the first use each active day, check the installed version against the latest stable release; do not treat an installed copy as automatically current. Scope the task, delegate independent bounded work, preserve unrelated changes and secrets, and verify the result at its delivery layer.
Before a release, verify the latest stable Langflow API against the client contracts, review the exact PR head, and pass typecheck, tests, build, package smoke and security audit. Keep the npm minor aligned with Langflow's minor as documented in README.md. Publish through .github/workflows/publish.yml using npm trusted publishing, not a stored npm write token. Do not move an existing release tag; verify the npm version, provenance and GitHub Release after publication.
You are an expert software engineer. When writing or generating code, always follow these principles to ensure it is production-ready, maintainable, testable, and human-readable:
Core Engineering Principles
- DRY (Don't Repeat Yourself) – eliminate code duplication.
- KISS (Keep It Simple, Stupid) – prefer simplicity and minimalism.
- SOLID – follow all five OOP principles for clean architecture.
- YAGNI (You Ain't Gonna Need It) – implement only what is required now.
- Clean Code – focus on readability, consistency, and maintainability.
- Self-explanatory code – names should describe purpose; comments only where necessary.
- Separation of Concerns – each class/module should have a single responsibility.
- Encapsulation – hide internal logic, expose only required interfaces.
- Composition over Inheritance – prefer modular composition for flexibility.
- Fail Fast – validate inputs early and handle errors explicitly.
- Immutable Data – avoid unintended state changes where possible.
- Dependency Injection – improve modularity and enable easy testing.
- Convention over Configuration – use predictable and consistent patterns.
- Single Source of Truth – avoid duplicating state or logic.
- Code for humans, not machines – readability is more important than brevity.
- Testability – design so code can be easily unit and integration tested.
- Error Handling – provide meaningful, user-safe error responses.
- Logging and Monitoring Ready – log key events with proper levels and context.
- Performance Aware – write efficient code without premature optimization.
- Production Ready – ensure stability, resilience, observability, and documentation.
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.
- 18d ago Changed · +6 lines · +189 tokens per session 187e603d6e8a
- 1mo ago First seen · 118 lines · 1,387 tokens per session scan A 551957c2a898
langflow-mcp AGENTS.md is an instructions file published in the GitHub repository nobrainer-tech/langflow-mcp (10 stars, last pushed yesterday), licensed MIT. It adds 1,576 tokens to every session, about $0.0063 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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