mdc-langchain-integration-rules

A set of rules for files related to LangChain, a framework used to build applications and workflows around large language models. The rules describe LangChain's role in those workflows.

In plain words
What is it for?
Use it when working on code or documentation that incorporates LangChain into an AI workflow.
Why use it?
It provides project guidance about where LangChain is responsible for language-model-related functions. The input does not describe any automatic checking or editing.

Skill for Claude CodeCodex

Part of the starling plugin — 54 skills shipped together

Install

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.

agentmods
npx agentmods add skills/graycodeai/starling/mdc-langchain-integration-rules
Any agent
npx skills add GrayCodeAI/starling --skill mdc-langchain-integration-rules
Clone the repo
git clone --depth 1 https://github.com/GrayCodeAI/starling

Made for: Claude Code, Codex.

Or install starling, the plugin that ships this one along with the rest of its 54 skills.

Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 62 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00029 $0.00062
Opus 5 $0.00015 $0.00031
Sonnet 5 $0.00006 $0.00012
Haiku 4.5 $0.00003 $0.00006

Measured 2d ago against content hash c4bc923d784a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mdc-langchain-integration-rules 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 2d 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.

categories/ai-ml/mdc-langchain-integration-rules/SKILL.md · 8 lines

What it actually says

  • Langchain is responsible for specific functions pertaining to incorporating LLM workflows.
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. 2d ago First seen · 8 lines · 29 tokens per session scan A c4bc923d784a

Subscribe to this mod's changes

mdc-langchain-integration-rules is a skill published in the GitHub repository GrayCodeAI/starling (2 stars, last pushed 3d ago), licensed MIT. It adds 29 tokens to every session and 62 once invoked, about $0.0001 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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