Is Smoke Test Ml Pipeline safe and trustworthy?

tashan scores Smoke Test Ml Pipeline on public evidence — it is currently active. Audit scope: OSV advisories, install-time scripts, build provenance and declared permission surface. We do not review source code or execute the capability.

How do I install Smoke Test Ml Pipeline?

Drop the skill folder into ~/.claude/skills/ (user scope) or .claude/skills/ (project scope).

Who maintains Smoke Test Ml Pipeline?

4 GitHub contributors, source: probabl-ai/skills.

‹ The Index

Smoke Test Ml Pipeline

skill

Author’s activation text, quoted as published

Owns the smoke test contract for an ML experiment: a small, diagnostic-by-construction pytest that fits the experiment's learner on a portion of the real data/ source and predicts on a disjoint portion that deliberately carries no pre-history buffer. The assertion is structural — the number of predictions must equal the number of rows in the predict grid. A pipeline that loads-then-features-then-splits will silently drop the cold-start rows of the predict slice and the test will fail with a row-count mismatch; a pipeline that marks X early and references upstream history nodes from feature steps will pass trivially. …

Works with: Claude Code (native) · Cursor, Codex CLI (manual)
native: this artifact type is that client's own format

Install (Claude Code):

cp -r smoke-test-ml-pipeline ~/.claude/skills/

Adoption: 1 repos
Upkeep: 97.0
Freshness: 94.0
Evidence coverage: 84% of the inputs this score can use — the rest are unknown, and the score is discounted for it
Health: active
Contributors: 4
License: BSD-3-Clause

Security audit

Not scanned yet. We audit npm-published capabilities for known advisories, install-time scripts and permission surface; this one has no npm package we can resolve, or has not reached the queue.

Its own instructions

Its SKILL.md shows worked examples, covers setup and states a limitation.

Read from the capability’s own SKILL.md. This is not a grade and does not compare to the instruction-depth verdict on an MCP server — a skill has no tools to document, so that rubric does not apply to it.

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source ↗ · skill:probabl-ai/smoke-test-ml-pipeline

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Measured 2026-08-14 · scorer s5 · how · something wrong here?