first-tree-onboarding
first-tree-onboarding is an Agent runtime & coordination infrastructure skill for AI agents, published by agent-team-foundation in the first-tree-legacy repository on GitHub. Skillspace rates first-tree-onboarding C (77/100) and it passed the safety scan; the rating is based on static analysis only.
One-shot onboarding command for First Tree. Drives a repo or workspace from "no first-tree" all the way to "tree bound, real content drafted, daemon running, agent templates confirmed" — end to end, in one skill invocation. Trigger this skill when the user invokes `/first-tree-onboarding`, says "onboard this repo to first-tree", "set up first-tree here", "complete first-tree onboarding", or runs first-tree against an unbound repo or workspace. Also trigger when re-running on an already-bound repo to refresh skills, draft missing content, or reverify the daemon. Use this skill instead of running `first-tree tree init` from raw memory; it owns role-by-role branching, the initial-content drafting phase the CLI does NOT do, and the final doctor checks.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 47
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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