Feast

What it does

When your agent uses it

• Feast feature store tasks: feature repositories
• Materialization
• RAG/vector search
• Feast contributor workflows

Example prompts

• “/feast”

Requirements

• Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

1. 1If the user is operating a Feast project, identify the feature repository root and feature_store.yaml first.
2. 2If the user is defining objects, inspect or create Python definitions before running feast apply.
3. 3If the user is retrieving features, confirm the definitions were applied and the online store was materialized or pushed.
4. 4If the user is using remote services, auth, cloud stores, vector DBs, or clusters, confirm the required Feast extra, service, credentials…
5. 5If the user is changing Feast source code, use targeted tests and lint/type checks before broad suites.

What it can do on your machine

Read from SKILL.md and the folder at commit ac3fe1a. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships 1 file in scripts/ (Python), which the agent can run.

  Shell commands in SKILL.md call:

  • pip
  • python

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Feast loads about 1.3k tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 46 tokens; SKILL.md has 531 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~46

When it runs · the whole SKILL.md, loaded when a task matches

~1.3k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~3.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from VectorSpaceLab/AREX-Skill at commit ac3fe1a, republished under its Apache-2.0 licence (© VectorSpaceLab). 531 words, ~1,326 tokens.

name

feast

description

Use for Feast feature store tasks: feature repositories, definitions, CLI, retrieval, materialization, serving, RAG/vector search, integrations, and Feast contributor workflows.

disable-model-invocation

true

metadata.disco-role

operating

license

Apache 2.0

pip install feast
pip install "feast[redis]"        # example optional backend extra
pip install "feast[snowflake]"    # example offline store extra

python - <<'PY'
import feast
from feast import FeatureStore, Entity, FeatureView, Field
print("Feast import OK", getattr(feast, "__version__", "unknown"))
PY
feast --help
feast version

© VectorSpaceLab, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts, references) in skills/repositories/repo-skills/feast of VectorSpaceLab/AREX-Skill.

• SKILL.md
• references/repo-provenance.md
• references/repo-routing-metadata.json
• references/troubleshooting.md
• scripts/check_feast_environment.py
• sub-skills

Open the folder on GitHubat commit ac3fe1a