gocode: Instructions file for Claude Code

.kiro/steering/agent-architecture.md

gocode agent-architecture.md is an instructions file for Claude Code, Kiro from AlleyBo55/gocode. It costs 804 tokens per session, scanned A, original, MIT.

An architecture guide for an AI coding agent written in Go. It describes how messages, model providers, tool calls, permissions, sessions, errors, and independent worker agents fit together.

In plain words
What is it for?
Use it when designing or changing the agent loop, model-provider interface, tool execution pipeline, session handling, or worker-agent isolation.
Why use it?
It gives developers a shared map of the agent's runtime instead of leaving behavior spread across separate components. It also emphasizes containing failures and tracing tool activity.

Instructions file for Claude CodeKiro

Written for Claude Code and Kiro: PreToolUse hook event, but also installed under .kiro/. Also seen: mentions subagents.

This is AlleyBo55/gocode's own configuration. It tells Claude Code and Kiro how to work on gocode itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything gocode configures →

Reuse

Borrowing it

Nothing to install: this file belongs to AlleyBo55/gocode. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/AlleyBo55/gocode/master/.kiro/steering/agent-architecture.md
Clone the repo
git clone --depth 1 https://github.com/AlleyBo55/gocode

Made for: Claude Code, Kiro.

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Per session 804 This file is loaded in full into every session.
When invoked 804 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00804 $0.00804
Opus 5.5 $0.00322 $0.00322
Sonnet 5.5 $0.00161 $0.00161
Haiku 4.5 $0.00080 $0.00080

Measured 1mo ago against content hash 6826c33af843, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gocode agent-architecture.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.kiro/steering/agent-architecture.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Architecture Guide — gocode

System Design Philosophy

This is not a chatbot with file access. This is an agent operating system. Every design decision optimizes for:

  1. Composability — Components compose through interfaces, not inheritance.
  2. Isolation — Sub-agents run in independent goroutines with their own contexts.
  3. Resilience — Failures are contained. One agent crashing doesn't take down the system.
  4. Observability — Every tool call, every permission check, every fallback is traceable.

Core Runtime Loop

User Message → ConversationRuntime.SendUserMessage()
  → buildRequest() (system prompt + session + tools)
  → provider.SendMessage() or provider.StreamMessage()
  → parse response content blocks
  → if tool_use blocks exist:
      → for each tool: authorize → pre-hook → execute → post-hook
      → append tool results to session
      → loop back to provider call
  → if no tool_use blocks: return final response

The loop is bounded by maxIter (default 30). Context cancellation propagates cleanly.

Provider Abstraction

type Provider interface {
    SendMessage(ctx context.Context, req MessageRequest) (*MessageResponse, error)
    StreamMessage(ctx context.Context, req MessageRequest) (<-chan StreamEvent, error)
}

Every LLM backend implements this. The FallbackProvider wraps multiple providers and fails over on 429/5xx. The ModelRouter maps task categories to different FallbackProvider chains.

Tool Execution Pipeline

Tool Call → PermissionPolicy.Authorize()
         → HookRunner.PreToolUse()
         → ToolExecutor.Execute()
         → HookRunner.PostToolUse()
         → Result (with merged hook feedback)

Tools are registered in internal/toolimpl/Registry. Each tool implements:

type ToolExecutor interface {
    Execute(params map[string]interface{}) ToolResult
}

Multi-Agent Orchestration

The orchestrator maintains named sub-agent profiles. Each profile specifies:

  • System prompt (role-specific)
  • Model category (deep/quick/visual/ultrabrain)
  • Tool permissions (subset of available tools)

Read the full file on GitHub · 102 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 102 lines · 804 tokens per session scan A 6826c33af843

Subscribe to this mod's changes

gocode agent-architecture.md is an instructions file published in the GitHub repository AlleyBo55/gocode (48 stars, last pushed 6d ago), licensed MIT. It adds 804 tokens to every session, about $0.0032 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-25.

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