Borrowing it
Nothing to install: this file belongs to indiano881/databid. 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/indiano881/databid/main/CLAUDE.mdgit clone --depth 1 https://github.com/indiano881/databidWrote 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/indiano881/databid/claude-md)<a href="https://agentmods.dev/instructions/indiano881/databid/claude-md"><img src="https://agentmods.dev/badge/instructions/indiano881/databid/claude-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/indiano881/databid/claude-md"><img src="https://agentmods.dev/badge/instructions/indiano881/databid/claude-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 | $0.01772 | $0.01772 |
| Opus 5.5 | $0.00709 | $0.00709 |
| Sonnet 5.5 | $0.00354 | $0.00354 |
| Haiku 4.5 | $0.00177 | $0.00177 |
Grade A, and why
databid CLAUDE.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 2mo 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
Context on Call (running on DataBid infrastructure at databid.io) is an agent-native company intelligence platform. AI agents buy structured, verified company context (capabilities, certifications, capacity, standards) on demand via API. Companies list themselves to get discovered by agents worldwide — "SEO for the agent era."
Current phase: Validation. Seeding first 100 company contexts in manufacturing/supply chain vertical. 13 companies live (3 seeded, 10 scraped). No paying customers yet. See ACTION_PLAN.md for milestones.
Future product: A Context Constructor — guided flow that asks companies the right questions and generates standardized, token-efficient context packs (chunked files + navigation index) sized for agent context windows.
Commands
Requires Node 20+.
# Dev server
npm run dev # Start dev server (http://localhost:3000)
npm run build # Production build (runs prisma generate automatically)
npm run lint # ESLint (flat config, v9)
# Prisma
npx prisma generate # Regenerate client after schema changes
npx prisma migrate dev --name <name> # Create and apply a migration (local dev)
npx prisma db push # Push schema to Neon (no advisory lock issues)
# Company scraper (requires ANTHROPIC_API_KEY in .env)
npx tsx scripts/scrape-company.ts "Company Name" "https://example.com"
# List all companies in DB
npx tsx scripts/list-companies.ts
# Seed test companies (3 hardcoded)
npx tsx prisma/seed-companies.ts
No test framework is set up. No test runner commands exist.
Architecture
- Framework: Next.js 16 (App Router) with TypeScript and Tailwind CSS v4.
next.config.tssetsoutput: "standalone"for Docker/containerized deployments. Checknode_modules/next/dist/docs/for breaking changes vs older Next.js. - Database: PostgreSQL via Prisma ORM v7 (requires
@prisma/adapter-pg) - Auth: NextAuth.js with credentials + Google OAuth, JWT sessions
- Styling: Tailwind v4 CSS-first config (
@import "tailwindcss"inglobals.css, notailwind.config.js). Zinc/emerald color palette. - No component library:
src/components/ui/exists but is empty. All UI is plain Tailwind. - No middleware: Auth is checked per-route via
getServerSession(authOptions), not via Next.js middleware. - Schema validation: Zod used in MCP tool definitions; API routes use manual
ifchecks.
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.
- 2mo ago First seen · 127 lines · 1,772 tokens per session scan A baa3ae231b4c
databid CLAUDE.md is an instructions file published in the GitHub repository indiano881/databid (0 stars, last pushed 7mo ago), licensed MIT. It adds 1,772 tokens to every session, about $0.0071 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.
databid CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| databid CLAUDE.mdindiano881/databid | Instructions file | 0 | 7mo ago | MIT | A | 1,772 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |