plan-authoring

plan-authoring is a skill for Claude Code, Codex from attilaszasz/sdd-pilot. It costs 41 tokens per session (3,142 once invoked), scanned A, original, MIT.

Reference material for researching and writing implementation plans that cover technical context, architecture decisions, data models, API contracts, and project-rule alignment.

In plain words
What is it for?
Use it to research unresolved technical questions, document choices, describe APIs and data models, and prepare structured implementation plans.
Why use it?
It turns technical unknowns into recorded decisions and keeps implementation plans structured enough for coding agents to follow.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; mentions AGENTS.md.

Good fit Use it to research unresolved technical questions, document choices, describe APIs and data models, and prepare structured implementation plans.

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Install with agentmods
npx agentmods add skills/attilaszasz/sdd-pilot/plan-authoring
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.

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

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for plan-authoring

README.md
[![agentmods](https://agentmods.dev/badge/skills/attilaszasz/sdd-pilot/plan-authoring/github.svg)](https://agentmods.dev/skills/attilaszasz/sdd-pilot/plan-authoring)
Your own site
<a href="https://agentmods.dev/skills/attilaszasz/sdd-pilot/plan-authoring"><img src="https://agentmods.dev/badge/skills/attilaszasz/sdd-pilot/plan-authoring/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for plan-authoring

Your own site · 80×15
<a href="https://agentmods.dev/skills/attilaszasz/sdd-pilot/plan-authoring"><img src="https://agentmods.dev/badge/skills/attilaszasz/sdd-pilot/plan-authoring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,142 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00041 $0.03142
Opus 5 $0.00020 $0.01571
Sonnet 5 $0.00008 $0.00628
Haiku 4.5 $0.00004 $0.00314

Measured 6d ago against content hash 77b8af35ffa1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

plan-authoring 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 6d 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.

.github/skills/plan-authoring/SKILL.md · 229 lines

How it starts

The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan Authoring Guide

Agent-First Format Rule

Every plan.md section MUST use tables, key-value pairs, or tagged lists as primary format. Prose is limited to the Summary section (max 3 key-value lines). The primary consumer is an AI agent — optimize for parseability over readability.

Plan Writing Process

Phase 0: Research

  1. HAS_TECH_CONTEXT_DOC = true → read as baseline; pre-fill Technical Context values, require only confirmation.
  2. Extract unknowns (anything marked NEEDS CLARIFICATION) → research task per unknown.
  3. Consolidate in research.md using structured format below. Merge by topic, rewrite full file.
  4. Budget: ≤4KB. Existing >3KB → consolidate before adding.
research.md Format

Prohibited: code blocks, implementation snippets, comparison tables, narrative paragraphs, duplicate summary sections.

Per-topic: 4 structured fields, max 2 sources. Global budget: ≤4KB.

Consolidation: merge overlapping topics, normalize names, remove stale details.

Structure:

# Research: [Feature Name]
> Feature | Date | Purpose

## [Topic N]
- **Decision**: [what was chosen]
- **Rationale**: [why — max 1 sentence]
- **Rejected**: [alternatives and why — max 1 sentence]
- **Pitfalls**: [anti-patterns to avoid — max 1 sentence]
- **Sources**: [URL1], [URL2]

## Summary
| Topic | Decision | Rationale |
|-------|----------|-----------|

## Sources Index
| URL | Topic | Fetched |
|-----|-------|---------|

Phase 1: Design & Contracts

Prerequisites: research.md complete

Items 1–2 are conditional — auto-detect signals from spec; fall back to interactive prompt when ambiguous.

  1. Data Modeldata-model.md (conditional):
    • Generate when: non-empty "Key Entities", terms database/storage/persist/CRUD/entity/etc., or StorageN/A
    • Skip → replace Data Model Summary table with N/A — no persistent data
    • Include: entity names, fields, relationships, validation rules, state transitions
    • Populate ## Data Model Summary table in plan.md with entity overview

Read the full file on GitHub · 229 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 6d ago First seen · 229 lines · 41 tokens per session scan A 77b8af35ffa1

Subscribe to this mod's changes

plan-authoring is a skill published in the GitHub repository attilaszasz/sdd-pilot (95 stars, last pushed 4d ago), licensed MIT. It adds 41 tokens to every session and 3,142 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 2026-09-03.

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