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/mlt-oss/firstdata/claude-mdgit clone --depth 1 https://github.com/MLT-OSS/FirstDataWhat 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 | $0.01912 | $0.01912 |
| Opus 5 | $0.00956 | $0.00956 |
| Sonnet 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 2d 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.
- 2d 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 (182 stars, last pushed 15d ago), licensed MIT. It adds 1,912 tokens to every session, about $0.0096 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 2026-08-30.
Other instructions, from other repositories
awesome-quant AGENTS.md
AGENTS.md instructions for wilsonfreitas/awesome-quant, covering agents.md, project overview, architecture, commands and install deps (requires python 3.11+).
Awesome-Prompt-Engineering AGENTS.md
Instructions for natnew/Awesome-Prompt-Engineering, covering agents.md, repository north star, agent role, trust boundary and read order.
awesome-ai-scientists CLAUDE.md
Instructions for natnew/awesome-ai-scientists, covering claude.md, north star, resolver — load per task, first-pass workflow and stop conditions.
awesome-nextjs-supabase CLAUDE.md
Instructions for mahdibrr/awesome-nextjs-supabase, covering claude.md — awesome-nextjs-supabase, what this repo is, repo structure, content scope and how resources are added.
static-analysis CLAUDE.md
Instructions for analysis-tools-dev/static-analysis, a project described as: ⚙️ A curated list of static analysis (SAST) tools and linters for all programming languages, config files, build tools, and more. The focus is on tools which improve code quality.
LibrAIum AGENTS.md
AGENTS.md instructions for nel-neru/LibrAIum, covering agents.md, language, what libraium is, commands and architecture.