Alibi

SkillDev tools

"Routes Alibi users to the right explanation, confidence,

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Alibi skill

What this skill tells your AI

The instructions your AI receives, as published by vectorspacelab/arex-skill in skills/repositories/repo-skills/alibi/SKILL.md and read by ahel’s review.

Alibi is a Python library for model explanation, confidence scoring, prototype selection, and explanation persistence.

When to use this skill

Use this skill when a user asks how to:

  • install Alibi or choose extras
  • inspect public Alibi APIs
  • run a small reproducible Alibi workflow
  • decide which explanation family fits a task
  • diagnose MissingDependency, backend, or predictor-shape issues

First reads

  • references/workflows.md for the route map
  • references/optional-dependencies.md for extras and MissingDependency placeholders
  • references/troubleshooting.md for import, backend, and workflow failures
  • references/repo-provenance.md when checking staleness or before refresh work
  • references/api-reference.md for verified constructor signatures and return shapes

Minimal install and import

  • python -m pip install alibi
  • From a checkout: python -m pip install -e .
  • Minimal import check: python -c "import alibi; print(alibi.__version__)"
  • If the import trips over a spaCy / click issue, repair the base environment before assuming the package is broken.

Route map

sub-skills/global-tabular-explanations/

Use for ALE, partial dependence, PD variance, permutation importance, and other global tabular feature-effect workflows.

sub-skills/anchors-local-explanations/

Use for AnchorTabular, AnchorText, and AnchorImage workflows, including text sampling and image segmentation guidance.

sub-skills/attribution-and-shap/

Use for KernelShap, TreeShap, and IntegratedGradients, plus optional SHAP / TensorFlow backend selection.

sub-skills/counterfactuals-and-similarity/

Use for Counterfactual, CEM, CounterfactualProto, CounterfactualRL, and GradientSimilarity workflows.

sub-skills/confidence-prototypes-utilities/

Use for TrustScore, LinearityMeasure, ProtoSelect, and save/load round-trips.

Helper scripts

  • scripts/core_smoke.py runs a tiny CPU smoke across the base tabular workflows.
  • scripts/check_optional_backends.py reports which optional exports are placeholders and which extra enables them.

What not to do

  • Do not treat a MissingDependency placeholder as a verified runtime path.
  • Do not send users to the source checkout for docs, examples, or notebooks.
  • Do not assume optional backends are installed until the helper says so.

Signals

GitHub stars
266
Forks
21
Last commit
Sep 2026

ahel review

  • K1binfo
    installs-packages

Automated review, not a security audit. Ruleset v1+k2.

Advanced
Catalog kind
skill
Gateway key
alibi
Source
github.com/vectorspacelab/arex-skill