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Agent Scaffolding Audit for GPT-6 Astra

Prompt Engineering · GPT-6 Astra · text
90AI Quality /100
94AI Usefulness est. /100
88Eval Confidence /100
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The prompt

Audit the agent instructions in this repo for GPT-6 Astra. Older models needed long recipes and frequent “ask first” lines. Astra follows those lines literally and also wastes context on them. Inputs: [paste AGENTS.md, CLAUDE.md, and each skill’s name, description, and body, or point at the files] Review every instruction and mark it KEEP, CUT, or REWRITE. Cut or rewrite when it: - Tells the agent to read a stack of docs before every edit. - Tells the agent to ask before reversible local edits, reads, or local tests. - Repeats “run tests” or “be thorough” without naming a command or a stop. - Uses a skill description so broad that unrelated tasks will load it. - Is a step-by-step recipe for work the model can plan. - Conflicts with another file. Prefer the user’s task over a skill, and say which file loses. Keep command lines, path rules, security boundaries, compliance lines, and anything that names a real external or destructive action. Definition of done: - A table: file, original line or section, verdict, replacement or “cut”. - A revised AGENTS.md (or CLAUDE.md) that is shorter and still contains the project constraints. - Revised skill descriptions, one or two sentences each, stating the operation that should load them. - Do not edit the repo unless I say “apply”. The deliverable is the audit and the replacement text. - Do not invent new project rules that were not in the files or in my message. If you are unsure whether a line is a real constraint or leftover nagging, mark it CHECK and leave it in the revised file.
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