Borrowing it
Nothing to install: this file belongs to MLT-OSS/FirstData. 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/MLT-OSS/FirstData/main/CLAUDE.mdgit clone --depth 1 https://github.com/MLT-OSS/FirstDataWrote 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/mlt-oss/firstdata/claude-md)<a href="https://agentmods.dev/instructions/mlt-oss/firstdata/claude-md"><img src="https://agentmods.dev/badge/instructions/mlt-oss/firstdata/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/mlt-oss/firstdata/claude-md"><img src="https://agentmods.dev/badge/instructions/mlt-oss/firstdata/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 | $0.01912 | $0.01912 |
| Opus 5.5 | $0.00765 | $0.00765 |
| Sonnet 5.5 | $0.00382 | $0.00382 |
| Haiku 4.5 | $0.00191 | $0.00191 |
Grade A, and why
FirstData 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 — 174 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
FirstData is the External Facts Context Layer for AI Agents — a structured, authoritative collection of global open data sources. It is a pure data repository — no application code, no runtime logic.
Your job here is to create or edit JSON metadata files that describe real-world data sources (government databases, international organizations, academic datasets, etc.).
The project exposes a hosted MCP Server at https://firstdata.deepminer.com.cn/mcp.
Validation
Dependencies are managed with uv. Run the following before submitting:
# Install dependencies (first time only)
uv sync
# Run all validation checks
make check
# Or run checks individually:
make validate # Validate JSON schema compliance
make check-ids # Check for duplicate IDs
make check-domains # Check domain naming consistency
A GitHub Action runs these checks automatically on every PR. PRs that fail validation cannot be merged.
Repository Structure
firstdata/
├── schemas/datasource-schema.json # JSON Schema v2.0.0 (the source of truth for data format)
├── sources/ # Individual data source JSON files, organized by category
│ ├── china/ # Chinese government & institutions
│ ├── international/ # International organizations (by domain)
│ ├── countries/ # National official sources (by continent/country)
│ ├── academic/ # Academic research databases (by discipline)
│ └── sectors/ # Industry sources (by ISIC Rev.4 code)
└── indexes/ # Auto-generated aggregated indexes (do not edit manually)
├── all-sources.json
├── by-authority.json
├── by-domain.json
├── by-region.json
└── statistics.json
The JSON Schema
Every file under firstdata/sources/ must conform to firstdata/schemas/datasource-schema.json.
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 · 174 lines · 1,912 tokens per session scan A 77a94b07893a
FirstData CLAUDE.md is an instructions file published in the GitHub repository MLT-OSS/FirstData (186 stars, last pushed 1mo ago), licensed MIT. It adds 1,912 tokens to every session, about $0.0076 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 2026-08-30.
FirstData CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| FirstData CLAUDE.mdMLT-OSS/FirstData | Instructions file | 186 | 1mo ago | MIT | A | 1,912 | 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 | today | 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 |