dataprof: Instructions file for Codex

AGENTS.md

dataprof AGENTS.md is an instructions file for Codex, OpenCode from AndreaBozzo/dataprof. It costs 1,380 tokens per session, scanned A, original, MIT.

Project instructions for dataprof, a Rust workspace with Python bindings that profiles data and reports quality findings. They describe its folders, supported package types, and development checks.

In plain words
What is it for?
Use them when changing dataprof's Rust libraries, Python package, parsers, metrics, documentation, or examples, and when preparing a change for review.
Why use it?
They keep coding changes aligned with the project's purpose and release structure. They also explain which builds, tests, and examples should be checked before committing.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: reads .claude/ paths; mentions Claude Code; mentions AGENTS.md.

This is AndreaBozzo/dataprof's own configuration. It tells Codex and OpenCode how to work on dataprof 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 dataprof configures →

Reuse

Borrowing it

Nothing to install: this file belongs to AndreaBozzo/dataprof. 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/AndreaBozzo/dataprof/master/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/AndreaBozzo/dataprof

Made for: Codex, OpenCode.

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.

agentmods badge for dataprof AGENTS.md

README.md
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Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/instructions/andreabozzo/dataprof/agents-md"><img src="https://agentmods.dev/badge/instructions/andreabozzo/dataprof/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,380 This file is loaded in full into every session.
When invoked 1,380 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01380 $0.01380
Opus 5.5 $0.00552 $0.00552
Sonnet 5.5 $0.00276 $0.00276
Haiku 4.5 $0.00138 $0.00138

Measured 5d ago against content hash e45a79cd6e36, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dataprof 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 5d 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.

AGENTS.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Guidance for AI coding agents (Claude Code, Codex, Cursor, ...) working in this repository. Humans should start from README.md and docs/CONTRIBUTING.md; this file is the condensed, agent-oriented version and the single source of truth for agent instructions.

What this project is

dataprof is a local, deterministic data profiling and quality assessment library: a Rust workspace with a PyO3-based Python package on top. The release surface is Rust library crates plus Python wheels — there is no CLI binary. It profiles data and reports on it; it does not transform, clean, or move data. Keep changes within that identity.

examples/ are executable docs: CI runs them, so keep them working.

Build, test, lint

Prerequisites: Rust 1.96+, Python 3.11+, uv. Local development runs on CPython 3.15, pinned in .python-version, which uv reads and installs on its own; ty still checks against the 3.11 floor.

1.96 is the MSRV (rust-version in Cargo.toml). CI lints and tests on the toolchain pinned in rust-toolchain.toml, and rustup reads that file, so plain cargo in this checkout runs the same compiler as CI. Clippy gates the build with -D warnings and every Rust release adds lints; a cargo +<version> command or a RUSTUP_TOOLCHAIN variable overrides the file, so when clippy disagrees with CI, check rustc --version first.

The MSRV itself is enforced by compilation, not by the declaration: the MSRV Compile Gate job runs cargo check --locked --lib over every published feature graph on 1.96. Reproduce it with RUSTUP_TOOLCHAIN=1.96 uv run --no-project python .github/scripts/msrv_check.py. If a change needs a newer standard-library API, raising the MSRV is a deliberate separate change — see docs/CONTRIBUTING.md.

uv sync                     # install the Python dev environment
uv run maturin develop      # build + install the local Python extension

# Focused tests (prefer these; match the command to your change)
cargo test -p dataprof-core
cargo test -p dataprof-python
uv run pytest python/tests/test_python_api.py -q

# Gates that CI enforces — run before committing
cargo fmt --all
cargo clippy --all --all-targets -- -D warnings
uv run ruff format python/ .github/scripts/ .claude/skills/dataprof/scripts/
uv run ruff check python/ .github/scripts/ .claude/skills/dataprof/scripts/
uv run ty check python/

Read the full file on GitHub · 105 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. 5d ago Changed · +5 lines · +81 tokens per session e45a79cd6e36
  2. 6d ago Changed · +2 lines · +43 tokens per session 49bb5218327f
  3. 7d ago Changed · -9 lines · -120 tokens per session 7c78e72cf97e
  4. 9d ago Changed · +1 tokens per session 53bf9549f35f
  5. 25d ago Changed · +4 lines · +78 tokens per session 7cabeef33baa
  6. 1mo ago Changed · +6 lines · +114 tokens per session 183a6d78d493
  7. 1mo ago Changed · +7 lines · +117 tokens per session 71dd1d1a2121
  8. 2mo ago First seen · 90 lines · 1,066 tokens per session scan A bba207124d4f

Subscribe to this mod's changes

dataprof AGENTS.md is an instructions file published in the GitHub repository AndreaBozzo/dataprof (31 stars, last pushed today), licensed MIT. It adds 1,380 tokens to every session, about $0.0055 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.

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