ad-level-up

ad-level-up is a Multi-agent review & consensus skill for AI agents, published by alexandremendoncaalvaro in the CorridorKey-Runtime repository on GitHub. Skillspace rates ad-level-up D (57/100) and it passed the safety scan; the rating is based on static analysis only.

Run this skill when the user explicitly invokes `/ad-level-up` or names it, or asks to evolve the project's rule-set — "add a convention", "update the rules", "new rule", "merge these rules", "we keep hitting X, make it a rule", "retire this rule" — or hands over a rule gap surfaced by `ad-audit`. Companion to `ad-audit`: where ad-audit audits against the rules, this evolves them, leanly. This skill is user-invoked (`allow_implicit_invocation: false`) because it can write to the rule-set — invoke it explicitly with `/ad-level-up` or by naming it, not from inferred conversation. Mechanical shape: ONE pass in the current session. Every candidate clears four anti-overfitting gates plus an effectiveness pass or is rejected out loud; the drafted candidate then passes an adversarial multi-lens review; and NOTHING is written without the user's explicit approval, one item at a time. It presents a proposal with a plain-language rationale and applies only on your OK. Writes land in the curated…

Grade

D

Quality

57 / 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.

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.