v3.15.0: Controlled Language

Added

Controlled-language writing target and output format ladder

Adapted from Andrej Karpathy's post of 2026-10-02 on how to read model output faster.

• no-ai-slop gains a Controlled-language target: agent-authored text aims for about 80% of ASD-STE100, the controlled English from aerospace maintenance manuals. Instructions are 20 words max with one action each, descriptive sentences 25 words max, paragraphs 6 sentences max, active voice, one term per meaning, noun clusters three words max, articles kept. Technical terms, code, quotes, and the writer's own voice in edits stay outside the limits.
• no-ai-slop gains ELI5 first for explanations: an explanation for someone who did not build the thing opens with three sentences of everyday words and one analogy, then the technical detail in STE.
• no-ai-slop gains an Output format ladder: when the goal is understanding, the agent picks the richest rung the content and medium support (prose, diagram, HTML page, explainer video via release-video) and offers the next rung in one line instead of building it unasked.
• eval.md gains four checks for sentence limits, term consistency, the ELI5 opener, and format choice.
• CLAUDE.md and .cursorrules Response Style carry both rules, so agents that never load the skill still follow them.