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LocalAlibiScan — every claim has an alibi

Manual · Demo video · Example report

LocalAlibiScan is a local, read-only tool that tells you what every project on your disk is, what state it is in and what changed — and proves every statement with the file and line it came from.

las dashboard and a README that lies, in a real terminal

Why

  1. Facts with proof. Code extracts the facts; an LLM (optional) only writes prose about them. Every statement is a claim with a status and evidence.
  2. Your whole disk, not one repository. One dashboard for every project in a folder, including loose script folders without git or manifests.
  3. Documentation that lies. README vs code, with proof on both sides — and it never edits anything.
  4. Changes in architecture language. "An OpenAI service appeared" and "New route DELETE /notes/:id", not "+42 lines".
  5. Works without an LLM. Everything essential is deterministic. A local Ollama model is an extra, never a requirement.

A README that says PostgreSQL while the code uses SQLite

Install

pipx install localalibiscan

Python 3.11+ on macOS, Linux or Windows. The commands localalibiscan and the shortcut las are equivalent.

Quick start

las dashboard ~/code            # every project under ~/code (add --html for a static report)
las scan ~/code/my-app          # full profile, one line of evidence per claim (--evidence for all)
las check ~/Downloads           # just the verdict: project, root, subfolder, probable project or not a project
las refresh ~/code/my-app       # what changed since the last scan, in architecture terms
las history ~/code/my-app       # one line per previous scan
las explain ~/code/my-app       # "explain this project": fixed questions answered with facts
las ask ~/code/my-app "Where is authentication done?"
las files ~/code/my-app         # files that would be analysed (respects .gitignore)
las config --init               # create ~/.localalibi/config.toml

las dashboard --html writes a single self-contained file to ~/.localalibi/dashboard.html (no server, no external resources). See an example report built from well-known open-source projects (Express, Flask, httpx, Vite, the FastAPI full-stack template, …).

The terminal output and the HTML report are currently in Portuguese; the manual explains every screen in English.

Claims

Everything shown is a Claim:

{
  "id": "db.sqlite",
  "category": "database",
  "label": "Base de dados",
  "value": "SQLite",
  "status": "confirmed",
  "evidence": [
    {"file": "package.json", "line": 13, "snippet": "\"better-sqlite3\": \"^9.4.0\"", "kind": "dependency"},
    {"file": "src/db/database.ts", "line": 3, "snippet": "export const db = new Database('app.db');", "kind": "code"}
  ],
  "source": "detector:database"
}
Status Symbol Meaning
confirmed ✓ Proven by strong evidence (dependency and usage in code, or explicit code)
inferred ≈ Weak evidence (only a dependency, only a config hint, or AI prose written from facts)
contradiction ⚠ Two sources disagree (e.g. README vs code)
unknown ? Could not be determined — never invented

A dependency that is declared but never imported stays ≈; usage in code without a declared dependency is ✓ with a note.

What it detects

  • Folder verdict — project, folder of projects, subfolder of a project, probable project (loose scripts/notebooks) or not a project.
  • Inventory — languages, manifests (package.json, requirements.txt, pyproject.toml, go.mod, Cargo.toml, composer.json) with line numbers, project type, monorepo components, entry points, main folders, docs.
  • Code (tree-sitter: Python, JavaScript, TypeScript) — databases and ORMs, frameworks, external services (OpenAI, Anthropic, Ollama, Stripe, AWS, Supabase, …), HTTP routes (FastAPI, Flask, Express, Fastify, Next.js) and a ranking of the most important files. Tests, examples, playgrounds and templates never count as evidence.
  • Docs vs code — contradictions, "only in the docs" and "not documented".
  • History — snapshots with file hashes (works without git).

Known limitations are listed in docs/limitacoes.md.

Guarantees

  • Read-only. The only writes go to <project>/.localalibi/ (which ignores itself in git) and ~/.localalibi/. Any other write raises an exception.
  • Never runs project code — no scripts, tests or npm install. Git is only used through read commands (rev-parse, log, status).
  • No network, except an optional Ollama server on localhost.
  • The LLM never creates facts. It receives claims (never code), must cite claim ids (or file:line in las ask), and a validator drops every sentence without a valid citation. Without Ollama, you get facts only.

Configuration

~/.localalibi/config.toml (create it with las config --init):

[scan]
ignore = ["vendor"]          # extra folders to skip (node_modules, .venv, dist, ... are always skipped)
max_file_size = 1048576      # larger files are listed but not read

[dashboard]
depth = 2                    # how deep to look for projects

[ollama]
url = "http://localhost:11434"   # only localhost is accepted
model = "qwen2.5-coder:7b"
timeout = 180

Environment variables LOCALALIBI_OLLAMA_MODEL and LOCALALIBI_OLLAMA_URL override the file.

The full manual is at https://deltaxmodules.github.io/LocalAlibiScan/, with a 90-second demo video.

Development

uv venv -p 3.12 .venv && uv pip install -p .venv -e '.[dev]'
.venv/bin/pytest

The tool was built phase by phase from SPEC.md (in Portuguese); contributor rules live in CLAUDE.md. Test projects are in tests/fixtures/. The manual is in site/ (VitePress; cd site && npx vitepress dev .), its reference pages are generated with python scripts/gen_reference.py, and the demo video and GIF are recorded with scripts/demo-video.sh (how).

License

MIT

Metadata

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