agentmods.dev

iterabledata AGENTS.md

Project instructions for coding agents working on IterableData, a Python project. They explain when to read OpenSpec files, how to set up the project, and which checks and style rules to follow.

In plain words
What is it for?
Use them when modifying IterableData, especially for planning changes, installing dependencies, running tests, checking types, linting, formatting, or scanning for security issues.
Why use it?
They give an agent the project’s expected workflow and quality checks, reducing guesswork and inconsistent changes.

Instructions file for CodexOpenCode

37 13d ago A scan 2,397 tokens original MIT
View the source file datenoio/iterabledata
Install

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.

agentmods
npx agentmods add instructions/datenoio/iterabledata/agents-md
Clone the repo
git clone --depth 1 https://github.com/datenoio/iterabledata

Made for: Codex, OpenCode.

Per session 2,397 This file is loaded in full into every session.
When invoked 2,397 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.02397 $0.02397
Opus 5 $0.01198 $0.01198
Sonnet 5 $0.00479 $0.00479
Haiku 4.5 $0.00240 $0.00240

Measured 3d ago against content hash cf77cb0c057c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

iterabledata 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 3d 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 · 226 lines

How it starts

The opening of the file, as written. The whole thing — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OpenSpec Instructions

These instructions are for AI assistants working in this project.

Always open @/openspec/AGENTS.md when the request:

  • Mentions planning or proposals (words like proposal, spec, change, plan)
  • Introduces new capabilities, breaking changes, architecture shifts, or big performance/security work
  • Sounds ambiguous and you need the authoritative spec before coding

Use @/openspec/AGENTS.md to learn:

  • How to create and apply change proposals
  • Spec format and conventions
  • Project structure and guidelines

Keep this managed block so 'openspec update' can refresh the instructions.

AGENTS.md

Instructions for AI coding agents working on the IterableData project.

Setup commands

  • Install dependencies: pip install -e ".[dev]"
  • Run tests: pytest --verbose (includes coverage automatically)
  • Run tests with parallel execution: pytest -n auto
  • Run linter: ruff check iterable tests
  • Format code: ruff format iterable tests
  • Type check: mypy iterable
  • Run all checks: ruff check iterable tests && ruff format --check iterable tests && pytest

Security and Quality Tools

  • Security scan: bandit -r iterable -ll
  • Dependency vulnerabilities: pip-audit --requirement <(pip freeze)
  • Dead code detection: vulture iterable --min-confidence 80
  • Code complexity: radon cc iterable --min B
  • Documentation style: pydocstyle iterable
  • Coverage report: pytest --cov=iterable --cov-report=html (opens htmlcov/index.html)

Code style

  • Python 3.10+ with type hints where appropriate
  • Maximum line length: 120 characters (configured in pyproject.toml)
  • Use ruff for linting and formatting (E, F, I, B, UP rules enabled)
  • Use double quotes for strings consistently
  • Follow PEP 8 with project-specific exceptions
  • Always use context managers (with statements) for file operations
  • Import organization: standard library, third-party, local imports

Project structure

  • iterable/ - Main package directory
    • helpers/ - Utility functions (detect, schema, utils)
    • datatypes/ - Format-specific implementations (CSV, JSON, Parquet, etc.)
    • codecs/ - Compression codec implementations
    • engines/ - Processing engines (DuckDB, internal)
    • convert/ - Format conversion utilities
    • pipeline/ - Data pipeline processing
  • tests/ - Test suite (one test file per format/feature)
  • examples/ - Usage examples
  • tests/fixtures/ - Committed test data files (tests/testdata/ is a symlink to this directory)
  • fixtures/ - Test fixtures

Read the full file on GitHub · 226 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. 3d ago First seen · 226 lines · 2,397 tokens per session scan A cf77cb0c057c

Subscribe to this mod's changes

iterabledata AGENTS.md is an instructions file published in the GitHub repository datenoio/iterabledata (37 stars, last pushed 13d ago), licensed MIT. It adds 2,397 tokens to every session, about $0.0120 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.

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