codex-sdd:plan

A planning step in the OpenSpec workflow, a process for turning an approved software change proposal into an implementation plan. It creates a technical design document and a task list.

In plain words
What is it for?
Use it after a proposal is approved to document how the change should work and break it into executable development tasks.
Why use it?
It fills in the architecture, interfaces, data decisions, risks, and implementation order before coding begins.

Skill for Claude CodeCodex

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 skills/skyloevil/codex-sdd/plan
Any agent
npx skills add skyloevil/codex-sdd --skill plan
Clone the repo
git clone --depth 1 https://github.com/skyloevil/codex-sdd

Made for: Claude Code, Codex.

Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 783 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 $0.00031 $0.00783
Opus 5 $0.00015 $0.00392
Sonnet 5 $0.00006 $0.00157
Haiku 4.5 $0.00003 $0.00078

Measured yesterday against content hash 02dba43e027b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

codex-sdd:plan 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 yesterday.

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.

skills/plan/SKILL.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OpenSpec Plan

Context

Plan is the second phase of the OpenSpec workflow. It transforms an approved proposal into two artifacts:

  • design.md — Technical architecture, API contracts, data design, decisions
  • tasks.md — Executable task breakdown This is the "constrain the implementation" step.

Trigger

Any of these patterns triggers this skill:

  • User says "openspec plan" or "openspec:plan"
  • User confirms the proposal scope
  • openspec_get_status shows phase is plan or phase is propose with confirmed scope

Prerequisites

  • An active proposal at openspec/changes/<changeId>/proposal.md
  • Scope has been confirmed by the user

Workflow

Step 1: Read the Proposal

Call openspec_read_artifact({ artifactId: "proposal" }) to understand the requirement scope and constraints.

Step 2: Build Context

Call docs_build_context using keywords from the proposal. Include likely spec domains and modules when known. The design should cite relevant source paths from openspec/specs, docs/generated, docs/reviewed, or docs/knowledge when they affect interfaces, compatibility, risks, or task sequencing.

Step 3: Generate Design

Use openspec_create_or_update_artifact with detailed technical analysis:

openspec_create_or_update_artifact({
  artifactId: "design",
  content: "<technical design markdown>"
})

For best results, you should analyze the proposal and generate a thorough technical design covering:

  • Overall architecture approach
  • New/modified interfaces (API endpoints, function signatures)
  • Data model changes
  • Caching strategy
  • Concurrency/locking considerations
  • Compatibility with existing systems
  • Risks and edge cases

Write the full design to openspec/changes/<changeId>/design.md.

Step 4: Generate Tasks

After design is created, generate tasks:

openspec_create_or_update_artifact({
  artifactId: "tasks",
  content: "<checkbox task markdown>"
})

This creates or updates openspec/changes/<changeId>/tasks.md with check-box tasks.

Read the full file on GitHub · 95 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. yesterday First seen · 95 lines · 31 tokens per session scan A 02dba43e027b

Subscribe to this mod's changes

codex-sdd:plan is a skill published in the GitHub repository skyloevil/codex-sdd (1 stars, last pushed 1mo ago), licensed MIT. It adds 31 tokens to every session and 783 once invoked, about $0.0002 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 2026-08-31.

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