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.
curl -O https://raw.githubusercontent.com/benseverndev-oss/goldenflow/main/CLAUDE.mdgit clone --depth 1 https://github.com/benseverndev-oss/goldenflowWrote 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/benseverndev-oss/goldenflow/claude-md)<a href="https://agentmods.dev/instructions/benseverndev-oss/goldenflow/claude-md"><img src="https://agentmods.dev/badge/instructions/benseverndev-oss/goldenflow/claude-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 5.1 | $0.04995 | $0.04995 |
| Opus 5 | $0.02498 | $0.02498 |
| Sonnet 5 | $0.00999 | $0.00999 |
| Haiku 4.5 | $0.00500 | $0.00500 |
Grade A, and why
goldenflow 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 7d 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 — 425 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.
Related Projects
- 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>orfix: <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) andbenzsevern-mjh(work) - MUST
gh auth switch --user benzsevernbefore push, switch back tobenzsevern-mjhafter
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 (220 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
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.
- 7d ago First seen · 425 lines · 4,995 tokens per session scan A c1c780a6ef2b
goldenflow CLAUDE.md is an instructions file published in the GitHub repository benseverndev-oss/goldenflow (1 stars, last pushed 4mo ago), licensed MIT. It adds 4,995 tokens to every session, about $0.0250 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 2026-08-31.
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