sdd:auto

sdd:auto is a skill for Claude Code from alfredoperez/sdd. It costs 18 tokens per session (1,001 once invoked), scanned A, original, MIT.

An automation command for Spec-Driven Development, a workflow that moves a feature from written specification through planning, tasks, and implementation. It runs the full pipeline automatically after receiving a feature description.

In plain words
What is it for?
Starting an end-to-end feature workflow from a description, recording its state, checking complexity, and advancing through the SDD stages.
Why use it?
It removes the need to manually start each stage and can continue through the workflow when automatic advancement is enabled.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: names the AskUserQuestion tool.

Part of the sdd plugin — 11 skills shipped together

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

Made for: Claude Code.

Or install sdd, the plugin that ships this one along with the rest of its 11 skills.

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 sdd:auto

README.md
[![agentmods](https://agentmods.dev/badge/skills/alfredoperez/sdd/auto.svg)](https://agentmods.dev/skills/alfredoperez/sdd/auto)
Your own site
<a href="https://agentmods.dev/skills/alfredoperez/sdd/auto"><img src="https://agentmods.dev/badge/skills/alfredoperez/sdd/auto.svg" alt="Measured on agentmods" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,001 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 5.1 $0.00018 $0.01001
Opus 5 $0.00009 $0.00500
Sonnet 5 $0.00004 $0.00200
Haiku 4.5 $0.00002 $0.00100

Measured 5d ago against content hash fda46fe792da, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

sdd:auto 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 5d 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.

skills/auto/SKILL.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Shared Instructions

User Input

$ARGUMENTS

If $ARGUMENTS is empty, stop and say: "Provide a feature description: /sdd:auto <description>"


Steps

1. Run Specify, Mark Auto, and Gate

CRITICAL: This entire step is one continuous action — your turn is not complete until either the AskUserQuestion (sub-actions 5 + 6, normal mode) has been called, or you have entered the auto-advance loop (Step 2, minimal mode). The sub-actions below are NOT separate stop points.

  1. Invoke /sdd:specify via the Skill tool, passing $ARGUMENTS as the argument.

  2. When specify completes, find the most recently modified directory under specs/ that contains a .spec-context.json. Record its slug ({NNN}-{slug}).

  3. Read specs/{NNN}-{slug}/.spec-context.json and set auto to true. Write the updated file back, preserving all existing fields and appending a transition entry per transition-logging. Do not set auto earlier — specify's footer behavior depends on auto being false during its run.

  4. Determine complexity from the file you just read:

    • currentStep: "tasks"minimal (specify already wrote plan.md + tasks.md). Proceed directly to Step 2 (Auto-Advance Loop). No gate.
    • currentStep: "specify"normal. Continue to sub-actions 5 + 6 in this same step.
  5. Normal mode only — read specs/{NNN}-{slug}/spec.md and display exactly:

    📋 **Spec review — approval needed**
    
    {Feature Name} (`{NNN}-{slug}`)
    
    {1-line summary from the spec's Summary section}
    {N} requirements · {N} scenarios
    
    📂 `specs/{NNN}-{slug}/spec.md`
    
  6. Normal mode only — call AskUserQuestion with these options:

    • Continue — proceed with auto-advance through remaining phases
    • Edit spec — user provides edit notes in the "Other" field; apply changes to spec.md, then re-do sub-actions 5 + 6

Read the full file on GitHub · 75 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. 5d ago First seen · 75 lines · 18 tokens per session scan A fda46fe792da

Subscribe to this mod's changes

sdd:auto is a skill published in the GitHub repository alfredoperez/sdd (2 stars, last pushed 14d ago), licensed MIT. It adds 18 tokens to every session and 1,001 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 2026-08-31.

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