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.