claude-atlas 0.5.2

Scan, map, and visualize your Claude Code setup: agents, skills, slash commands, and memory files.

🗺️ Claude Atlas

Audit your Claude Code setup. Find duplicate agents, conflicting triggers, and orphaned memory files before they silently break your workflow.

Languages: English · Português 🇧🇷

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If you've been building out ~/.claude/ for a while, you probably have:

• Two agents that do nearly the same thing, competing for the same triggers.
• A CLAUDE.md you wrote for a project you abandoned months ago.
• A global skill quietly shadowed by a project-scoped version in one of your repos.
• No clear picture of how many artifacts you've accumulated total.

Claude Atlas scans your setup and surfaces these in seconds. Run it in your terminal for a quick health check, or generate an interactive HTML triage dashboard for deeper work.

# Install
uv tool install claude-atlas

# 5-second health check (with a 0-100 health score)
claude-atlas check

# Full triage dashboard
claude-atlas scan

You get:

• A health score (0-100) so you can tell at a glance whether your setup is getting better or worse over time.
• A triage dashboard with side-by-side previews of each conflicting pair, one-click "Copy fix prompt for Claude Code", and a "Show diff" toggle.
• A fix command that hands you a ready-to-paste prompt for Claude Code — without ever touching your files itself.
• A check --since flag that diffs against a previous run so you can prove a refactor actually helped.
• A pre-commit hook to keep new conflicts from sneaking in.

Offline by default. No telemetry. MIT licensed. Docs in EN + PT-BR.

Install

Prerequisites: Python 3.11+ and uv (or pipx / pip).

If you don't have uv yet:

# macOS (Homebrew)
brew install uv

# macOS / Linux (official installer)
curl -LsSf https://astral.sh/uv/install.sh | sh

Then install claude-atlas:

# Recommended: isolated tool install (from PyPI)
uv tool install claude-atlas

# Or with pipx
pipx install claude-atlas

# Or plain pip
pip install claude-atlas

To upgrade: uv tool upgrade claude-atlas.

From source

git clone https://github.com/grippado/claude-atlas.git
cd claude-atlas
uv sync --all-extras
uv run claude-atlas --help

Quick start

# Scan ~/.claude + current dir, output to ./claude-atlas.html
claude-atlas scan

# Scan specific trees
claude-atlas scan --paths ~/work/arco --paths ~/work/flagbridge -o /tmp/atlas.html

# Auto-discover nested .claude/ dirs under several trees
claude-atlas scan --auto-discover ~/work --auto-discover ~/personal

# Refine duplicate candidates with Claude (needs ANTHROPIC_API_KEY)
claude-atlas scan --semantic

Open the resulting HTML in a browser. The report opens on the Triage view:

• Issues grouped by severity (high / medium / low), each rendered as a card with the two artifacts' frontmatter and body excerpts side by side.
• Per-card actions: Open source / target in your editor, Show diff, Copy fix prompt (with or without the diff), Skip to dismiss false-positives — skip state persists in your browser via localStorage.
• A small concentration treemap at the top shows where the problems cluster (by scope × kind); click a cell to filter the cards.
• The Graph tab is still available for relationship exploration — lazy-loaded so the report stays light if you stick to triage.

What it detects

Edge kind	Meaning
duplicate_exact	Identical SHA-256 body hash — one is a literal copy of the other.
duplicate_semantic	Jaccard similarity ≥ 0.60 (suspicious) / ≥ 0.85 (probable).
overrides	Project artifact shadows a same-named global one.
trigger_collision	Two artifacts share ≥ 2 distinctive trigger tokens.
references	One artifact's body mentions another's name.
contains	Memory file groups artifacts in the same .claude/ root (UI only).

Thresholds live in src/claude_atlas/analysis/graph.py if you want to tune them.

Optional: LLM-as-judge

With --semantic, pairs flagged by Jaccard are sent to the Anthropic API for a structured verdict (duplicate / overlap / distinct). Pairs the model calls "distinct" are dropped from the graph; the rest get the model's reasoning attached to the edge detail.

Requires ANTHROPIC_API_KEY. Reinstall with the semantic extra to pull the anthropic SDK:

uv tool install "claude-atlas[semantic]"

Commands

claude-atlas scan        full scan + report
claude-atlas check       lint-style health check (CI-friendly)
claude-atlas fix         generate a Claude Code prompt for selected issues
claude-atlas report      alias for scan with default flags
claude-atlas version     print version

Run any command with --help for full flags.

CI / pre-commit usage

Use claude-atlas check for lint-style health checks in scripts and CI:

# Default: fail on any HIGH-severity issue
claude-atlas check

# Pre-commit hook: only fail on duplicates and overrides
claude-atlas check --max-severity high --quiet

# CI with GitHub Actions annotations
claude-atlas check --format github

# Get everything as JSON for custom tooling
claude-atlas check --top 0 --format json

Exit codes: 0 (clean), 1 (issues found at threshold), 2 (error).

Track health over time

--since diffs the current scan against a previous snapshot you wrote yourself — no state directory, no telemetry, just two JSON files:

# Today: save a snapshot
claude-atlas check --top 0 --format json > /tmp/atlas-snap.json

# Tomorrow (after some refactoring): see what changed
claude-atlas check --since /tmp/atlas-snap.json
# → Found 9 issues (...) in 93 artifacts. Health: 82/100 (B).
#   Since snapshot: +1 new, -4 resolved. Health 75→82 (+7).

Useful before/after big refactors to confirm you actually moved the needle.

Generate a fix prompt for Claude Code

claude-atlas fix turns detected issues into a markdown prompt you paste into Claude Code. The tool itself never edits files — it just hands you the prompt.

claude-atlas fix                          # interactive picker
claude-atlas fix --all                    # include every issue, no prompt
claude-atlas fix --severity high --all    # all HIGH-severity issues
claude-atlas fix | pbcopy                 # copy prompt to clipboard (macOS)

The interactive picker accepts comma/range syntax: 1,3,5-7 picks issues 1, 3, 5, 6, 7. Pass all (or just press Enter) to take everything, q to cancel.

If you'd rather pick visually, open the HTML report and use Copy fix prompt (or Copy prompt + diff) on individual cards — same output, one issue at a time.

As a pre-commit hook

Add to your .pre-commit-config.yaml:

repos:
  - repo: https://github.com/grippado/claude-atlas
    rev: v0.5.2  # or any tag from https://github.com/grippado/claude-atlas/releases
    hooks:
      - id: claude-atlas           # fails only on HIGH severity
      # - id: claude-atlas-strict  # fails on MEDIUM and HIGH

Both hooks run claude-atlas check --quiet against your repo's .claude/ directory on every commit.

Project layout

src/claude_atlas/
├── cli.py                 # typer CLI
├── models.py              # dataclasses + enums
├── scanner/
│   ├── discovery.py       # find .claude/ dirs and CLAUDE.md files
│   └── parsers.py         # frontmatter → Artifact
├── analysis/
│   ├── graph.py           # heuristics → Edge list
│   └── llm_judge.py       # optional Anthropic refinement
└── report/
    ├── renderer.py        # ScanResult → HTML
    └── templates/report.mustache

Roadmap

Claude-atlas is in active evolution. See the full ROADMAP.md for principles, released versions, and what's planned. Live tracker: GitHub Milestones.

Shipped recently:

• v0.5.2 — Scanner dedupes artifacts by real path, eliminating false-positive duplicate_exact edges from symlinked commands/agents/skills.
• v0.5.1 — Show diff per issue + Copy prompt + diff for sharper Claude Code fixes.
• v0.5.0 — HTML triage dashboard: triage view as default, side-by-side previews, per-issue actions, concentration treemap, graph as a lazy-loaded secondary tab.
• v0.4.0 — Backend foundation: health score, check --since diff, fix command, pre-commit hook templates.

Considering: editor status-bar plugin (VS Code) for ambient health-score awareness.

Won't do: automatic editing/deletion of artifacts, cloud sync, accounts, or support for non-Claude-Code AI tools. See the anti-roadmap for why.

Contributing

PRs welcome. Before opening one:

uv sync --all-extras
uv run pytest
uv run ruff check .
uv run mypy

License

MIT — see LICENSE.