pinme-llm

pinme-llm is a skill for Claude Code, Codex from glitternetwork/pinme. It costs 54 tokens per session (2,842 once invoked), scanned A, original, MIT.

A guide for PinMe Workers, which are TypeScript programs running on the PinMe platform, to call language-model APIs through OpenRouter. It covers model lists, chat requests, streamed responses, and OpenRouter web search.

In plain words
What is it for?
Use it when writing a PinMe Worker that needs to list models, send prompts, receive streamed or complete answers, or use OpenRouter web search.
Why use it?
It explains how to authenticate through PinMe without putting the real OpenRouter key in the Worker, and how to form the supported requests correctly.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 3.7krepo +3 1mo ago A scan Socket: warnSnyk: warnSkillSpector: pass 54 tokens original MIT

Good fit Use it when writing a PinMe Worker that needs to list models, send prompts, receive streamed or complete answers, or use OpenRouter web search.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/glitternetwork/pinme/pinme-llm
About the project

PinMe is a zero-configuration command-line tool for creating and deploying full-stack web projects with a frontend, Worker backend, and database, as well as uploading static sites. Developers and coding agents use it to launch or update frontend applications and their supporting services from one command. Its catalogue skills and instructions describe agent workflows for deploying with PinMe.

glitternetwork/pinme · 3,739 stars · on GitHub · pinme.eth.limo

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.

Any agent
npx skills add glitternetwork/pinme --skill pinme-llm
Clone the repo
git clone --depth 1 https://github.com/glitternetwork/pinme

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for pinme-llm

README.md
[![agentmods](https://agentmods.dev/badge/skills/glitternetwork/pinme/pinme-llm/github.svg)](https://agentmods.dev/skills/glitternetwork/pinme/pinme-llm)
Your own site
<a href="https://agentmods.dev/skills/glitternetwork/pinme/pinme-llm"><img src="https://agentmods.dev/badge/skills/glitternetwork/pinme/pinme-llm/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.

agentmods 80×15 button for pinme-llm

Your own site · 80×15
<a href="https://agentmods.dev/skills/glitternetwork/pinme/pinme-llm"><img src="https://agentmods.dev/badge/skills/glitternetwork/pinme/pinme-llm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,842 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket warn 30 Apr 2026
  • Snyk warn 30 Apr 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00054 $0.02842
Opus 5 $0.00027 $0.01421
Sonnet 5 $0.00011 $0.00568
Haiku 4.5 $0.00005 $0.00284

Measured 9d ago against content hash e2f951de6b54, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

pinme-llm scanned grade A with 1 finding 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 9d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

const resp = await fetch(getApiUrl('/api/chat/stream'), {
skills/pinme-llm/SKILL.md · 355 lines

How it starts

The opening of the file, as written. The whole thing — 355 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PinMe Worker OpenRouter API Integration

Guides how to call PinMe platform's OpenRouter proxy APIs in a PinMe Worker (TypeScript). Workers use the PinMe project API key; they never hold the real OpenRouter API key.

Environment Variables

The following environment variables are automatically injected when the Worker is created — no manual configuration needed:

// backend/src/worker.ts
export interface Env {
  DB: D1Database;
  API_KEY: string;       // Project API Key from create_worker
  PROJECT_NAME: string;  // Actual project_name from create_worker; must match API_KEY
  BASE_URL?: string;     // Optional override for PinMe API base URL, defaults to https://pinme.cloud
}

API_KEY authenticates the Worker to PinMe. PROJECT_NAME is required for chat/completions and must belong to the same project as API_KEY. When BASE_URL is not set, use https://pinme.cloud.


Models API

Endpoint: GET {BASE_URL}/api/v1/models Authentication: X-API-Key header (using env.API_KEY) Request Body: none

Use this when the Worker needs to list available OpenRouter models. The response body, status, and headers are passed through from OpenRouter /models.

async function listModels(env: Env): Promise<unknown> {
  const baseUrl = env.BASE_URL ?? 'https://pinme.cloud';
  const resp = await fetch(`${baseUrl}/api/v1/models`, {
    headers: { 'X-API-Key': env.API_KEY },
  });

  if (!resp.ok) {
    throw new Error(await extractPinmeOpenRouterError(resp));
  }

  return await resp.json();
}

Chat Completions API

Endpoint: POST {BASE_URL}/api/v1/chat/completions?project_name={project_name} Authentication: X-API-Key header (using env.API_KEY) Request Body: OpenRouter chat/completions format, passed through as-is after a 1MB size check Streaming: Supports SSE (stream: true) Web Search: Supports OpenRouter openrouter:web_search server tool via the tools array

Request Format

Read the full file on GitHub · 355 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. 9d ago First seen · 355 lines · 54 tokens per session scan A e2f951de6b54

Subscribe to this mod's changes

pinme-llm is a skill published in the GitHub repository glitternetwork/pinme (3,739 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 2,842 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

open-source

Documentation reference for writing Python code using the browser-use open-source library. Use this skill whenever the user needs help with Agent, Browser, or Tools configuration, is writing code that imports from browseruse, asks about @sandbox deployment, supported LLM models, Actor API, custom tools, lifecycle…

browser-use/browser-use · 137 tokens

minimax

MiniMax M-series production wiring patterns for the OpenAI-compatible API at api.minimax.io. TRIGGERS - MiniMax, MiniMax-M2.7, Hailuo.

terrylica/cc-skills · 40 tokens

ai-orchestration-vercel-ai-sdk

Vercel AI SDK patterns - providers, text generation, streaming, structured output, tool calling, chat UI hooks, embeddings, and RAG.

agents-inc/skills · 38 tokens

footprint

Use when building flowchart pipelines with footprintjs — stage functions, decider branches, selectors, subflows, loops, narrative traces, recorders, redaction, contracts, and LLM-ready output. Also use when someone asks how footprint.js works or wants to understand the library.

footprintjs/footPrint · 60 tokens

anthropic-api-knowledge-patch

Use this skill when building or migrating integrations for the Messages API, hosted platform variants, Managed Agents, structured outputs, tools, streaming, prompt caching, model selection, or rate-limit handling. Treat the project's actual SDK types, API responses, and model metadata as authoritative when they differ…

Nevaberry/nevaberry-plugins · 11 tokens

nosql-database-design

Designs a NoSQL data model by leading with access pattern analysis. Covers DynamoDB single-table design (PK/SK/GSI) and MongoDB embedding vs referencing, consistency models, and capacity planning. Invoked when the user asks to design a DynamoDB schema, MongoDB data model, or NoSQL data model.

soulcodex/agentic · 71 tokens