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.
npx agentmods add instructions/kevinbkt10/google-connector/agents-mdgit clone --depth 1 https://github.com/kevinbkt10/google-connectorWrote 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/kevinbkt10/google-connector/agents-md)<a href="https://agentmods.dev/instructions/kevinbkt10/google-connector/agents-md"><img src="https://agentmods.dev/badge/instructions/kevinbkt10/google-connector/agents-md.svg" alt="Measured on agentmods" 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 | $0.01128 | $0.01128 |
| Opus 5 | $0.00564 | $0.00564 |
| Sonnet 5 | $0.00226 | $0.00226 |
| Haiku 4.5 | $0.00113 | $0.00113 |
Grade A, and why
google-connector AGENTS.md 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 4d 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.
- Exemplo de `curl` no `/runtime` com ADMIN_API_TOKEN How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Google Connector
Instruções para a IA instalar, publicar e operar este conector.
Objetivo do usuário
Baixou este template. Quer o Worker na Cloudflare dele, com as credenciais dele, e depois usar a API daqui (mesmo chat/projeto) para YouTube, Search Console, etc.
Regras
- JavaScript puro no Worker — sem React, Vue, Express ou libs de UI.
- Não invente Client ID, secrets ou database_id. Peça ou leia o que o usuário fornecer.
- Não copie credenciais de outros projetos/repos.
- Textos da UI em português com acentuação.
- Produto: Google Connector.
- Preferência: deploy em produção após configurar.
Fluxo em um pedido (“um clique” com a IA)
Quando o usuário pedir para publicar:
- Confirmar se tem conta Cloudflare e se
npx wrangler loginjá foi feito (ou rodar). - Confirmar se tem projeto Google Cloud + OAuth Web + Client ID/Secret (ou guiar a criação).
npx wrangler d1 create google-services-connector→ colardatabase_idnowrangler.jsonc.- Preencher
GOOGLE_CLIENT_IDeAPP_BASE_URL(placeholder até o primeiro deploy, depois ajustar). - Aplicar
schema.sqlno D1 remoto. - Configurar secrets (gerar strings longas se o usuário não tiver):
GOOGLE_CLIENT_SECRETSTATE_SIGNING_SECRETACCOUNT_ENCRYPTION_SECRETADMIN_API_TOKENCONNECT_TOKEN
npx wrangler deploy- Atualizar
APP_BASE_URLse a URL final for diferente + redeploy. - Lembrar o usuário de cadastrar
APP_BASE_URL/callbackno Google Cloud. - Entregar:
- URL do site
- URL do painel
- Que ele use o CONNECT_TOKEN para entrar
- Exemplo de
curlno/runtimecom ADMIN_API_TOKEN - Snippet
.envpara o projeto
Instalação (comandos)
npx wrangler login
npx wrangler d1 create google-services-connector
# editar wrangler.jsonc: database_id, GOOGLE_CLIENT_ID, APP_BASE_URL
npx wrangler d1 execute google-services-connector --remote --file=schema.sql
npx wrangler secret put GOOGLE_CLIENT_SECRET
npx wrangler secret put STATE_SIGNING_SECRET
npx wrangler secret put ACCOUNT_ENCRYPTION_SECRET
npx wrangler secret put ADMIN_API_TOKEN
npx wrangler secret put CONNECT_TOKEN
npx wrangler deploy
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.
- 4d ago First seen · 128 lines · 1,128 tokens per session scan A fb7413adb0f7
google-connector AGENTS.md is an instructions file published in the GitHub repository kevinbkt10/google-connector (5 stars, last pushed 28d ago), licensed MIT. It adds 1,128 tokens to every session, about $0.0056 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 2026-08-31.
Other instructions, from other repositories
awsmux AGENTS.md
Instructions for 0hardik1/awsmux, covering agents.md, what awsmux is, build, test, verify, layout and the safety model — invariants you must not weaken.
plan-forge naming.instructions.md
Azure naming conventions — Microsoft CAF abbreviations, constraints, uniqueness, tagging.
agent-skills fortrabbit.instructions.md
Instructions for fortrabbit/agent-skills, covering fortrabbit — github copilot instructions, what fortrabbit is, configuration lookup, available operations and mcp server (optional).
cron-mcp CLAUDE.md
Claude Code instructions for Shreyas-Profile/cron-mcp, covering deploying cron-mcp to hetzner + regiq.in, server (shared with the rest of the globalion mcp fleet), deploy a new version, first-time subdomain wiring (cron.regiq.in) and env vars.
equinix-fabric-mcp CLAUDE.md
Claude Code instructions for sliuuu/equinix-fabric-mcp, covering claude.md — equinix-fabric-mcp, canonical files, auth, add equinixclientid and equinixclientsecret and running.
Railway-mcp CLAUDE.md
Claude Code instructions for Travis-Gilbert/Railway-mcp, covering railway mcp server, quick reference, file map, architecture and key patterns.