Is Train safe and trustworthy?

tashan scores Train 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 Train?

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

6 GitHub contributors, source: octavehq/lfgtm.

‹ The Index

Train

skill

Onboarding GTM primer generator. Produces a self-contained, interactive slide lesson a new rep works through to learn the whole go-to-market: what we sell, who we sell to, how to position to each buyer, who we compete with, and proof, with checkpoint questions they must clear to advance and a score at the end. Use when user says "onboarding primer", "GTM primer", "onboard a new rep", "ramp doc", "train a new hire", or "GTM 101".

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

Install (Claude Code):

cp -r train ~/.claude/skills/

Adoption: 1 repos
Upkeep: 100.0
Freshness: 100.0
Evidence coverage: 84% of the inputs this score can use — the rest are unknown, and the score is discounted for it
Health: active
Contributors: 6
License: MIT

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 says when to use it, shows worked examples 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.

You searched for one. Check the rest of your stack:

npx tashan-cli doctor

Reads the config already on your machine and names what is dead, deprecated or running code at install time. No account, nothing uploaded.

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Pro adds the history to tashan doctor, so a run over your own config says which of yours gained an advisory, started running an install script, or lost its last maintainer — and what to move to.

Every score since we started measuring, for any capability
The named replacement when something you run is dying — not just that it is
tashan doctor over the config you already have, on your machine

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source ↗ · skill:octavehq/train

Everything on this page is public evidence and free. What it cannot know is whether you run this — check your whole config, free, in the browser. tashan Pro adds the series behind each row and names a replacement for anything dying.

Already running this? Check your whole config — free, in your browser, nothing installed. Or npx tashan-cli doctor locally, which sends nothing at all.

Measured 2026-08-21 · scorer s5 · how · something wrong here?