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goldenflow: Instructions file for Codex

AGENTS.md

goldenflow AGENTS.md is an instructions file for Codex, OpenCode from benseverndev-oss/goldenflow. It costs 4,291 tokens per session, scanned A, a copy of goldenflow copilot-instructions.md, MIT.

Project instructions for GoldenFlow, a toolkit that standardizes, reshapes, and normalizes messy data. They also describe development practices, related validation and matching projects, and the required environment and commands.

In plain words
What is it for?
Use them when developing GoldenFlow, handling its branches and releases, or working with the related GoldenCheck and GoldenMatch projects.
Why use it?
They give contributors consistent rules for changing the project, running it, and merging work safely across the Golden suite.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions CLAUDE.md.

This is benseverndev-oss/goldenflow's own configuration. It tells Codex and OpenCode how to work on goldenflow itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything goldenflow configures →

not rated 1repo 6mo ago A scan 4,291 tokens copy · 100% MIT archived
View source ↗ benseverndev-oss/goldenflow
Reuse

Borrowing it

Nothing to install: this file belongs to benseverndev-oss/goldenflow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/benseverndev-oss/goldenflow/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/benseverndev-oss/goldenflow

Made for: Codex, OpenCode.

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Per session 4,291 This file is loaded in full into every session.
When invoked 4,291 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod 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 $0.04291 $0.04291
Opus 5.5 $0.01716 $0.01716
Sonnet 5.5 $0.00858 $0.00858
Haiku 4.5 $0.00429 $0.00429

Measured 2mo ago against content hash 749ee52a5306, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

goldenflow AGENTS.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.

Origin

This is a copy

100% identical to goldenflow copilot-instructions.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

AGENTS.md · 390 lines

How it starts

The opening of the file, as written. The whole thing — 390 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GoldenFlow

Data transformation toolkit -- standardize, reshape, and normalize messy data. DQBench Transform Score: 100/100.

  • GoldenCheck: D:\show_case\goldencheck -- Data validation. Has its own CLAUDE.md.
  • GoldenMatch: D:\show_case\goldenmatch -- Entity resolution. Has its own CLAUDE.md.
  • GitHub: benzsevern/goldenflow, benzsevern/goldencheck, benzsevern/goldenmatch

Branch & Merge SOP (all Golden Suite repos)

  • Feature work goes on feature/<name> branches, never directly to main
  • Merge via squash merge PR (watchers see PR activity, history stays clean)
  • PR title format: feat: <description> or fix: <description>
  • PR body: summary bullets + test plan
  • Merge when: tests pass, docs updated. Days not weeks.
  • After merge: delete remote branch

Environment

  • Windows 11, bash shell (Git Bash)
  • Python 3.12 at C:\Users\bsevern\AppData\Local\Programs\Python\Python312\python.exe
  • Two GitHub accounts: benzsevern (personal) and benzsevern-mjh (work)
  • MUST gh auth switch --user benzsevern before push, switch back to benzsevern-mjh after

Commands

pip install -e ".[dev]"             # Dev install
pip install -e ".[check]"           # With GoldenCheck integration
pip install -e ".[mcp]"             # With MCP server
pip install -e ".[all]"             # Everything
pytest --tb=short -v                # Run tests (158 passing)
ruff check .                        # Lint
ruff check . --fix                  # Auto-fix lint

# 14 CLI commands:
goldenflow transform data.csv                    # Zero-config: auto-detect and fix
goldenflow transform data.csv -c goldenflow.yaml # Apply saved config
goldenflow transform data.csv --domain healthcare # Use a domain pack
goldenflow transform data.csv --strict           # Fail on any transform error
goldenflow transform data.csv --llm              # Enable LLM-enhanced transforms
goldenflow data.csv                              # Shorthand: auto-routes to transform
goldenflow map -s a.csv -t b.csv                 # Auto-map schemas between files
goldenflow learn data.csv -o config.yaml         # Generate config from data patterns
goldenflow validate data.csv                     # Dry-run: show what would change
goldenflow diff before.csv after.csv             # Compare pre/post transform
goldenflow profile data.csv                      # Show column profiles
goldenflow watch ./data/                         # Auto-transform new/changed files
goldenflow schedule data.csv --every 1h          # Run on a schedule
goldenflow stream large_file.csv                 # Stream-process in batches
goldenflow init data.csv                         # Interactive setup wizard
goldenflow demo                                  # Generate sample data to try
goldenflow history                               # Show recent transform runs
goldenflow interactive data.csv                  # Launch TUI
goldenflow serve                                 # REST API for real-time transforms
goldenflow mcp-serve                             # MCP server for Claude Desktop

Read the full file on GitHub · 390 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. 2mo ago First seen · 390 lines · 4,291 tokens per session scan A 749ee52a5306

Subscribe to this mod's changes

goldenflow AGENTS.md is an instructions file published in the GitHub repository benseverndev-oss/goldenflow (1 stars, last pushed 6mo ago), licensed MIT. It adds 4,291 tokens to every session, about $0.0172 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to goldenflow copilot-instructions.md, differing in 0 lines, and is treated as a copy.

Data and AIETLclidata-cleaningdata-engineeringdata-qualitydata-transformation
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