katalint 0.1.1

A fast, deterministic linter for AI coding agent instructions.

katalint

A fast, deterministic linter for AI coding agent instructions.

katalint checks AGENTS.md, CLAUDE.md, Claude Code subagents, task packets, and handoff documents for configuration and workflow smells that make CLI coding agents less reliable.

It does not run agents, call models, or orchestrate workflows. It only checks the instructions you give to agents.

Status: v0.1.0 release-ready. The CLI can discover targets, run the active deterministic rules, load katalint.yml, apply inline suppressions, and use a baseline file.

What it is

katalint is a CI-friendly linter for the Markdown files and workflow documents that shape AI coding agent behavior:

• AGENTS.md
• AGENTS.override.md
• CLAUDE.md
• .claude/agents/*.md
• task packets
• handoff documents

The public interface is intentionally one command:

katalint check

Internally, katalint checks two families of smells:

1. Configuration smells in persistent agent instruction files
2. Workflow smells in task packets and handoff documents

The split matters for implementation, but users should experience katalint as one linter that reviews the instruction surface around their agents.

What it is not

katalint is not:

• an agent runtime
• a Codex or Claude Code wrapper
• a prompt management framework
• a model router
• a knowledge base
• an orchestration system

v0 does not include:

• katalint run
• katalint fix
• LLM-based checks
• network access
• model calls
• agent execution
• workflow orchestration

Why this exists

AI coding agents increasingly rely on persistent instruction files such as AGENTS.md and CLAUDE.md. When these files become bloated, stale, conflicting, or filled with low-value rules, agents waste context and become less reliable.

katalint helps maintainers keep these instructions reviewable, concise, and operationally useful. It focuses on deterministic checks that are safe to run locally, in pre-commit hooks, and in CI.

The configuration-smell rules are aligned with published research on AGENTS.md and CLAUDE.md failure modes. The workflow-smell rules cover task packets and handoff documents, where agent reliability often depends on clear acceptance criteria, verification commands, and explicit next actions.

Quick start

Install from a source checkout:

python -m pip install .

Basic CLI:

katalint check
katalint check AGENTS.md
katalint check .claude/agents/
katalint explain KTL001

CI-oriented output:

katalint check --format text
katalint check --format json
katalint check --write-baseline katalint-baseline.json
katalint check --baseline katalint-baseline.json

Example output

AGENTS.md
  warning KTL001 config/context-bloat
  AGENTS.md has 236 lines. Recommended default is 200 lines or less.

docs/agent/tasks/fix-parser.md
  error KTL101 workflow/missing-acceptance-criteria
  Task packet has no acceptance criteria section.

docs/agent/handoffs/2026-07-07.md
  error KTL103 workflow/missing-handoff-fields
  Missing required handoff fields: tests, risks, next_action.

What katalint checks

katalint discovers these files by default:

• AGENTS.md
• AGENTS.override.md
• CLAUDE.md
• .claude/agents/*.md
• .agent/tasks/**/*.md
• docs/agent/tasks/**/*.md
• .agent/handoffs/**/*.md
• docs/agent/handoffs/**/*.md

The default ignore list is:

• vendor/**
• node_modules/**
• .git/**
• dist/**
• build/**

Configuration checks look for persistent instruction-file smells such as context bloat, lint leakage, vague references, and stale generated files.

Workflow checks look for task and handoff problems such as missing acceptance criteria, missing verification commands, missing handoff fields, and overly broad task scope.

Rule catalogue

Rule	Category	Description	Default
KTL001	config	Context file is too large	warning
KTL002	config	Instructions duplicate deterministic lint or format rules	warning
KTL003	config	References are too vague or unresolved	warning
KTL004	config	Agent config appears generated once and never maintained	warning
KTL101	workflow	Task packet has no acceptance criteria	error
KTL102	workflow	Task packet has no verification command	error
KTL103	workflow	Handoff document misses required fields	error
KTL104	workflow	Task scope appears too broad	warning

Reserved rules:

Rule	Category	Description	Reason reserved
KTL005	config	Skill leakage	Needs semantic analysis to avoid noisy matches
KTL006	config	Conflicting instructions	Needs semantic analysis to avoid noisy matches
KTL105	workflow	Judgment and execution mixed	Needs semantic analysis to avoid noisy matches

Configuration

katalint loads katalint.yml from the current working directory by default. Use --config PATH to load a different file.

version: 1
targets:
  agent_configs:
    - AGENTS.md
    - AGENTS.override.md
    - CLAUDE.md
    - .claude/agents/*.md
  task_packets:
    - .agent/tasks/**/*.md
    - docs/agent/tasks/**/*.md
  handoffs:
    - .agent/handoffs/**/*.md
    - docs/agent/handoffs/**/*.md
rules:
  KTL001:
    max_lines: 200
    max_bytes: 32768
    severity: warning
  KTL104:
    max_files_per_task: 5
    severity: warning
fail_on: error
baseline: katalint-baseline.json
ignore:
  - vendor/**
  - docs/archive/**

fail_on: error keeps warning findings visible without failing CI. Rule settings can override severity and rule-specific numeric thresholds such as KTL001.max_lines and KTL104.max_files_per_task. Unknown rule IDs, unsupported option names, and threshold values that are not non-negative integers are reported as configuration usage errors (exit code 2).

CI usage

GitHub Actions usage for a repository that installs katalint from its local checkout:

name: katalint
on:
  pull_request:
  push:
    branches: [main]
jobs:
  katalint:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: "3.11"
      - run: python -m pip install -e ".[dev]"
      - run: pytest -q
      - run: python -m build
      - run: katalint check

This repository dogfoods that workflow in .github/workflows/katalint.yml. Published-package consumers can use the same command after installing katalint with their package manager.

For pre-commit, use the local hook shape in docs/examples/pre-commit-config.yaml.

Examples

The example task packets show the expected workflow-rule behavior:

katalint check docs/examples/bad-task.md
katalint check docs/examples/good-task.md

• docs/examples/bad-task.md is intentionally missing acceptance criteria and a verification command.
• docs/examples/good-task.md includes both and should produce no findings.

Suppressions

Inline suppression format:

<!-- katalint-disable KTL002: project intentionally documents style because no formatter exists -->

Suppressions must include a reason. Comments without a reason are ignored.

Baseline files can be created with:

katalint check --write-baseline katalint-baseline.json

Then pass --baseline katalint-baseline.json or set baseline: in katalint.yml to filter known findings during incremental adoption.

Design principles

• Deterministic by default
• No network access
• No model calls
• No agent execution
• Fast enough for CI
• Conservative severity defaults
• Rule explanations before autofix
• One public linter interface, even though rules are grouped internally

Roadmap

Phase	PR	Outcome
Phase 0	PR-0	README, ADR, and rule catalogue fix the scope
Phase 1	PR-1 to PR-2	CLI target discovery and finding/reporting foundation
Phase 2	PR-3	Deterministic configuration-smell rules
Phase 3	PR-4	Deterministic workflow-smell rules
Phase 4	PR-5 to PR-6	Configuration, suppressions, CI examples, and dogfooding
Phase 5	PR-7+	Optional scaffold commands and experimental features

v0.1.0 includes the deterministic linter surface through PR-6. Scaffold/init commands remain outside v0.1.0 so the project keeps its first impression as a linter rather than a prompt generator.

Release

• Version: 0.1.0
• License: MIT
• Changelog: CHANGELOG.md

References

• OpenAI Codex documents AGENTS.md discovery, layered guidance, and the default 32 KiB project guidance cap. Verified on 2026-07-07: https://developers.openai.com/codex/guides/agents-md
• Claude Code documents CLAUDE.md memory behavior and recommends specific, concise instructions. Verified on 2026-07-07: https://docs.anthropic.com/en/docs/claude-code/memory
• Claude Code documents project and user subagents as Markdown files with YAML frontmatter. Verified on 2026-07-07: https://docs.anthropic.com/en/docs/claude-code/sub-agents
• arXiv:2606.15828v2, "Configuration Smells in AGENTS.md Files: Common Mistakes in Configuring Coding Agents", catalogues six configuration smells for AGENTS.md and CLAUDE.md files. Verified on 2026-07-07; arXiv lists v2 as dated 2026-06-16: https://arxiv.org/abs/2606.15828