agentsop-context-scope-discipline

Enforce a read-vs-edit split and ~25k token budget for coding agents.

287|16|Updated May 20, 2026
One-click install
npx skills add https://github.com/agentsope/SkillAlchemy --skill agentsop-context-scope-discipline
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agentsop-context-scope-discipline
Source: https://github.com/agentsope/SkillAlchemy/tree/main/skills/agentsop-context-scope-discipline
Command: npx skills add https://github.com/agentsope/SkillAlchemy --skill agentsop-context-scope-discipline

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill prevents coding-agent context dilution by enforcing disciplined separation between “read” context and the smaller “edit working set,” so the model stops editing wrong files and stays focused during multi-file changes.

Core Features & Use Cases

  • Working-file budget enforcement: Keeps the editable working set (files you add for writing) under about ~25k tokens, using token-budget monitoring to reduce mid-task quality collapse.
  • Read vs edit separation: Delegates breadth to a read-only repo-map (signatures) while reserving full-text, write-permitted files for only what you will actually change this turn.
  • Operational SOP for multi-file edits: Uses classify → locate-then-add → add/read → watch → drop → split-task patterns, including concrete decision rules like “understand 10, edit 2.”

Quick Start

Ask the coding agent to follow the context-scope discipline rule: only load into the editable working set the few files it will actually edit, keep that working set under about 25k tokens, and treat all other files as read-only via the repo-map or explicit reads.

Frequently Asked Questions about agentsop-context-scope-discipline

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
Why does my coding agent edit the wrong files during multi-file refactors?

Context dilution causes coding agents to edit wrong files when the editable working set grows too large. Enforcing a read-vs-edit split and keeping write-permitted files under a ~25k token budget maintains edit accuracy during multi-file refactors.

How do I manage token budget for multi-file editing with coding agents?

Manage token budget for multi-file editing by classifying files into read-only context and a smaller edit working set. Use a read-only repo-map for breadth, add only write targets, monitor token usage, and drop completed files to stay under ~25k tokens.

What is the read vs edit separation pattern for AI coding assistants?

The read vs edit separation pattern delegates breadth to a read-only repo-map of file signatures while reserving full-text, write-permitted files only for actual changes. This keeps the working set focused and prevents context dilution.

When should I split tasks during API signature changes or rename operations?

Split tasks during API signature changes when the token budget cannot be recovered by dropping completed files. If adding write targets for rename or extract-hook operations pushes the working set over ~25k tokens, divide the refactor into smaller subtasks.

Does the context scope discipline approach work without specific dependencies?

Yes, the context scope discipline approach works without dependencies by applying an operational SOP of classify, locate-then-add, watch, drop, and split-task patterns to manage the working set within any compatible coding agent environment.

How do I stop diffs from landing in wrong files when token usage approaches the dilution threshold?

To stop diffs landing in wrong files near the dilution threshold, enforce a working-file budget by dropping completed files from the edit working set and splitting tasks when token usage cannot be recovered through file removal.