ad-ground
ad-ground is a Multi-stage workflow orchestration skill for AI agents, published by alexandremendoncaalvaro in the CorridorKey-Runtime repository on GitHub. Skillspace rates ad-ground D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Four-source pre-implementation research — official docs, validated implementation references (open-source repos, Stack Overflow / forum answers, blog posts, gists), in-repo patterns, and git history — then synthesize a happy path and gate any deviation with an irrefutable justification before code is written. Auto-invokes on non-trivial work, refactors, library or pattern selection, "research before coding", "before implementing", "which library", "which pattern", "how to approach", "ground before coding". Workflow-operational counterpart to WORKFLOW.md §4 (Find the Happy Path) and §5 (Ground in Real Patterns).
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 749
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill 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
Also published in 1 other repo
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