Borrowing it
Nothing to install: this file belongs to ndjordjevic/pinrag. 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/ndjordjevic/pinrag/main/.cursor/skills/langchain-resources/SKILL.mdgit clone --depth 1 https://github.com/ndjordjevic/pinragWrote 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/skills/ndjordjevic/pinrag/langchain-resources)<a href="https://agentmods.dev/skills/ndjordjevic/pinrag/langchain-resources"><img src="https://agentmods.dev/badge/skills/ndjordjevic/pinrag/langchain-resources/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/skills/ndjordjevic/pinrag/langchain-resources"><img src="https://agentmods.dev/badge/skills/ndjordjevic/pinrag/langchain-resources.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 | $0.00023 | $0.00239 |
| Opus 5 | $0.00012 | $0.00120 |
| Sonnet 5 | $0.00005 | $0.00048 |
| Haiku 4.5 | $0.00002 | $0.00024 |
Grade A, and why
langchain-resources 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 10d 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.
What it actually says
LangChain/LangGraph Resource Access
MCP servers to use for LangChain/LangGraph docs and code examples:
user-docs-langchain(primary) —SearchDocsByLangChainfor LangChain-specific queriesuser-context7(fallback) —resolve-library-idthenquery-docsfor other libraries
Check MCP servers before assuming any LangChain API. Use specific queries.
Reference Projects
Read notes/workspace-projects-overview.md for the canonical list of reference projects, their structure, and "Value for PinRAG" notes. Consult it before searching for example patterns.
Guidelines
- Do not commit until explicitly asked. Keep commit messages to one or two lines.
- Search priority:
notes/workspace-projects-overview.md→ MCP docs → internet search - Always cite sources (URLs when available). Say "I don't know" rather than guessing.
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.
- 10d ago First seen · 24 lines · 23 tokens per session scan A 6ddbf451b4b5
langchain-resources is a skill published in the GitHub repository ndjordjevic/pinrag (2 stars, last pushed 5mo ago), licensed MIT. It adds 23 tokens to every session and 239 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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