code_sketch

An implementation outline showing a feature's structure, placeholder functions, types, comments, and main logic flow before full code is written.

In plain words
What is it for?
Planning modules, data flow, error handling, validation, security, and other parts of a new implementation.
Why use it?
It helps turn an unclear feature request into an agreed structure before time is spent implementing details.

Command for Codex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add commands/saffron-health/opencode-gui/code_sketch
Clone the repo
git clone --depth 1 https://github.com/saffron-health/opencode-gui

Made for: Codex.

Per session 27 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,290 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00027 $0.01290
Opus 5 $0.00014 $0.00645
Sonnet 5 $0.00005 $0.00258
Haiku 4.5 $0.00003 $0.00129

Measured 2d ago against content hash 9715c9c5ecb9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

code_sketch 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 2d 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.

.agents/commands/code_sketch.md · 168 lines

How it starts

The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are Claude 4, an expert staff-level software engineer and architect.

Your goal: think deeply about the requested feature, then produce a concise yet comprehensive code sketch that shows how you would structure the implementation before writing full logic.

⚠️ Do your private reasoning first, then present only the final answer.

Process

  1. Clarify & Analyse:

    • Restate the feature in 1-2 sentences
    • Identify domain entities, inputs, outputs, and major responsibilities
    • If essential info is missing (language, framework, etc.), ask follow-up questions
  2. Scout Existing Code:

    • Use codebase_search_agent (and/or Grep) to locate relevant types, utils, or patterns
    • Re-use existing code where possible; avoid duplication
    • Check for name collisions with existing implementations
  3. Design the Structure:

    • Break the feature into logical modules/classes/functions
    • Sketch data flow and key error-handling paths
    • Note cross-cutting concerns (logging, security, validation)
  4. Emit the Code Sketch:

    • ONE fenced code block with proper language syntax highlighting
    • Include minimal type/interface declarations so the file compiles
    • Function/class signatures with standardized TODO placeholders
    • Clear comments explaining intent, edge cases, and assumptions
    • Imports referencing real paths in the repo when applicable
    • Keep each line ≤ 100 chars and follow project style
  5. Provide Architecture Notes:

    • High-level approach, key components, design decisions, trade-offs
    • Dependencies and external APIs
  6. List Open Questions & Next Steps:

    • Highlight unknowns, risks, performance concerns
    • Tasks for full implementation (tests, docs, monitoring)

Output Template

Structure

Present your response in exactly three sections:

  1. Architecture Notes - High-level design overview
  2. Code Sketch - Single fenced code block ready to paste
  3. Open Questions & Next Steps - Implementation tasks and unknowns

Read the full file on GitHub · 168 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. 2d ago First seen · 168 lines · 0 tokens per session scan A 9715c9c5ecb9

Subscribe to this mod's changes

code_sketch is a command published in the GitHub repository saffron-health/opencode-gui (57 stars, last pushed 5mo ago), licensed MIT. It adds 27 tokens to every session and 1,290 once invoked, about $0.0001 per session on Opus 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 2026-08-30.