What is d6tflow CLAUDE.md?

Repository guidance for d6tflow, a small Python library that builds data-science workflows from dependent tasks. It explains the code layout, architecture, logging, and how to work in the repository.

Use it when reading, debugging, or modifying d6tflow, especially its task engine, parameters, data targets, dependency graph, and development logging.

It gives a coding agent the project context needed to change code consistently. This reduces time spent guessing where features belong or how the workflow engine behaves.

How d6t/d6tflow configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to d6t/d6tflow. 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/d6t/d6tflow/master/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/d6t/d6tflow

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/d6t/d6tflow/claude-md/github.svg)](https://agentmods.dev/instructions/d6t/d6tflow/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/d6t/d6tflow/claude-md"><img src="https://agentmods.dev/badge/instructions/d6t/d6tflow/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/d6t/d6tflow/claude-md"><img src="https://agentmods.dev/badge/instructions/d6t/d6tflow/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 3,950 This file is loaded in full into every session.

When invoked 3,950 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 original No closer match found 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.

Model	Per session	Once invoked
Fable 5.1	$0.03950	$0.03950
Opus 5.5	$0.01580	$0.01580
Sonnet 5.5	$0.00790	$0.00790
Haiku 4.5	$0.00395	$0.00395

Measured 2mo ago against content hash 249363875196, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

d6tflow 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.

CLAUDE.md · 213 lines

How it starts

The opening of the file, as written. The whole thing — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

Guidance for working in the d6tflow repo.

What this is

d6tflow is a small, self-contained Python library for building data-science workflows: you declare Task classes with parameters, dependencies (requires), and a run() that save()s output; the engine runs the DAG in dependency order and skips tasks whose output already exists. It has no heavyweight workflow-engine dependency — the task model, parameters, and executor all live in d6tflow/core.py + d6tflow/parameter.py.

Layout

d6tflow/
  __init__.py        # public API: run, preview, Workflow, WorkflowMulti, FlowExport/Import,
                     #   invalidate_*, requires/inherits, re-exported Parameter types
  core.py            # the engine: Task, Register metaclass, Target/LocalTarget, flatten,
                     #   getpaths, task_id_str, inherits/requires, find_deps, build()
  parameter.py       # Parameter, Int/Float/Bool/Date/Dict/List/Enum Parameter
  tasks/__init__.py  # TaskData (+ TaskCache/Json/Pickle/CSV/Excel/Pq/Markdown...), TaskAggregator
  targets/__init__.py# CacheTarget, _LocalPathTarget, DataTarget + format targets, Target re-export
  settings.py        # global settings (dirpath, cached, check_dependencies, task-id lengths...)
  cache.py           # `data` = in-memory target cache (dict)
  utils.py           # print_tree (preview), traverse, param generators, bcolors
  functional.py      # decorator-based functional Workflow API (uses only d6tflow.requires)
tests/               # pytest suite (see tests/setup.md)
docs/                # examples + docs/todo/ design notes

Ignore bak/, build/, dist/, *.egg-info/, data/, models/, tests-data/ — local artifacts / backups, not source. (d6tflow/core/ is an empty stale dir; the real module is d6tflow/core.py.)

Public API (what exists — check here before adding new code)

Everything below is exported from d6tflow (top-level) unless noted. Reach for these instead of reinventing them.

Read the full file on GitHub · 213 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.

2mo ago First seen · 213 lines · 3,950 tokens per session scan A 249363875196

Subscribe to this mod's changes

d6tflow CLAUDE.md is an instructions file published in the GitHub repository d6t/d6tflow (949 stars, last pushed 4mo ago), licensed MIT. It adds 3,950 tokens to every session, about $0.0158 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.

Data and AI

d6tflow CLAUDE.md next to 6 instructions from other repositories
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vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
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d6tflow: Instructions file for Claude Code