elon-algorithm

elon-algorithm is a Refactoring & code quality skill for AI agents, published by nityeshaga in the claude-code-essentials repository on GitHub. Skillspace rates elon-algorithm D (59/100) and it passed the safety scan; the rating is based on static analysis only.

Aggressively simplify any artifact — code, a prompt, a skill, a doc, or prose — by running Elon's algorithm (question every requirement → delete → simplify) on a clone of it via an agent swarm, then returning a reviewable cut-plan. Use whenever you want to cut AI slop, trim bloat, de-pad a file, make something leaner/denser, "delete what isn't load-bearing", or shrink an over-engineered artifact without losing what matters. Especially for AI-generated output, which is *additive* by nature (padded, over-explained, over-built) — this is the subtractive antidote. Triggers: "cut the slop", "make this leaner", "trim this skill/prompt", "this is over-engineered", "run the Elon algorithm on X".

Grade
D
Quality
59 / 100
Safety
Passed
GitHub stars
54

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
84 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
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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