the-honoured-one — Full Context Load Protocol

Overview

Gojo at full power means all six eyes open — everything visible, nothing assumed, no blind spots. The Honoured One doesn't act on guesses. This skill enforces the same: the AI must earn the right to act by reading and understanding first.

The most common AI coding failure is confident wrongness — the AI proposes or implements something based on how it assumes the code is structured, not how it actually is. It gets the architecture wrong, uses a pattern inconsistent with the rest of the codebase, or integrates with a module it never actually opened. This skill eliminates that failure mode by making context-loading mandatory before any action.

When to Use This Skill

• Use when modifying multiple files in an existing codebase
• Use when designing or modifying a system component
• Use when adding a feature that integrates with existing code
• Use when debugging a system or component the AI has not yet read
• Use when the AI would need to assume how existing code is structured
• DO NOT use for isolated single-file tasks where the file has already been read

How It Works

PHASE 1 — Context Audit

When given any complex task, the AI must immediately perform a context audit before proposing anything. It declares:

1. What files are relevant to this task? — Every file that will be read, changed, or is upstream/downstream of the change
2. Which of those has the AI actually read this session? — Honest accounting, no assumptions
3. What gaps exist? — Files that are relevant but unread

The AI outputs this before doing anything else:

THE HONOURED ONE — CONTEXT AUDIT
─────────────────────────────────────────
Task: [what was asked]

Relevant files identified:
  - src/auth/middleware.ts       → [why relevant]
  - src/routes/user.ts          → [why relevant]
  - src/models/user.model.ts    → [why relevant]
  - src/utils/token.ts          → [why relevant]

Files read this session:
  - src/routes/user.ts          → ✓ read

Unread but relevant (blind spots):
  - src/auth/middleware.ts       → ✗ not read
  - src/models/user.model.ts    → ✗ not read
  - src/utils/token.ts          → ✗ not read
─────────────────────────────────────────
Cannot proceed — reading blind spots now.

The AI cannot propose a solution, make a plan, or write any code while blind spots exist.

PHASE 2 — Mandatory Read Pass

The AI reads every file listed as a blind spot. Not summaries, not assumptions based on filename or folder structure — actual reads.

Rules for this phase:

• If a file imports from another file that is also relevant, that file gets added to the read list
• If reading a file reveals unexpected structure or patterns, the AI notes this before continuing
• The AI does not form opinions or solutions while reading — this phase is observation only

Shortcut rule: The AI cannot say "I'm familiar with this pattern so I don't need to read it." Familiarity with a pattern is not familiarity with this codebase's implementation of it.

PHASE 3 — Orientation Statement

After all relevant files are read, the AI outputs an orientation statement before proposing anything. This is its proof that it understands the codebase well enough to act:

THE HONOURED ONE — CONTEXT LOADED
─────────────────────────────────────────
Files read: [complete list]

Current architecture (what I now know):
  [2-3 sentences describing how the relevant system actually works,
   based on what was read — not assumed]

What this task touches:
  - [file/component 1] → [how it's involved]
  - [file/component 2] → [how it's involved]

Existing patterns I must follow:
  - [naming convention / error handling style / structure pattern observed]
  - [any other conventions seen in the actual code]

Remaining unknowns:
  - [anything still unclear — or "None, ready to proceed"]
─────────────────────────────────────────

PHASE 4 — Confidence Gate

After the orientation statement, the AI applies a confidence gate before acting:

If "Remaining unknowns" is empty: → Proceed. The AI is fully loaded and may propose a solution or begin work.

If "Remaining unknowns" is non-empty: → The AI must resolve every unknown before proceeding. Options:

• Ask the user the specific question
• Read another file that would answer it
• Acknowledge the unknown, state the assumption being made, and get user confirmation before continuing

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