/ss-create

A command for turning a plain-language feature request into written project specifications. In boost mode, it also prepares design notes and a task checklist.

In plain words
What is it for?
Use it to propose new features, choose options such as boost or creative mode, and create the related change documents and branch according to the project configuration.
Why use it?
It gives a feature a documented plan before coding begins and checks the project’s existing rules and plans to avoid duplicate work.

Command for Cursor

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/asasugar/superspec/ss-create
Clone the repo
git clone --depth 1 https://github.com/asasugar/SuperSpec

Made for: Cursor.

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 1,813 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 $0.01813
Opus 5 $0.00014 $0.00907
Sonnet 5 $0.00005 $0.00363
Haiku 4.5 $0.00003 $0.00181

Measured 3d ago against content hash bc4338c5501a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

/ss-create 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 3d 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.

.cursor/commands/ss-create.md · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.

User Input

$ARGUMENTS

You MUST consider the user input before proceeding (if not empty).

Outline

The text the user typed after /ss-create is the feature description. Do not ask the user to repeat it unless they provided an empty command.

Guardrails

  • Read superspec.config.json first → get lang, specDir, boost, strategy, context, branchPrefix, branchTemplate, changeNameTemplate
  • Pre-task review (refer to AGENTS.md "Before ANY Task"):
    • Read context files, README, architecture docs
    • Inspect {specDir}/changes/ → avoid duplicate changes via depends_on
  • Never create change folders manually — use superspec create <feature> CLI
  • Do not write any code during the proposal stage. Only create design documents

Input Parsing Rules

From user input, extract: mode flags, feature name, intent type, developer, lang.

Extract Rule Example
Mode flags Detect -b/--boost/boost → boost mode; -c/--creative/creative → creative mode; --no-branch → skip branch; flags can be combined /ss-create -b add auth → boost; /ss-create -b -c refactor login → boost+creative
Feature name Remove flags from input, convert remainder to camelCase. Chinese → translate to English first "add user auth" → addUserAuth; "添加用户认证" → addUserAuth
Intent type Semantic inference from input add/new/implement → feature; fix/bug/hotfix → hotfix; refactor/optimize → refactor; docs → docs; test → test; build/deps → chore; default → feature
Developer "@username" or "Developer: xxx" → extract (remove "@"). Fallback: git user name "添加todolist @jay" → user=jay
Lang CJK chars → zh; explicit "zh"/"中文" → zh; "en"/"English" → en; fallback: config lang "添加todolist" → zh

Naming Templates

Config supports custom templates with variables {date}, {feature}, {user}, {intentType}, {prefix}:

  • branchTemplate (default: {intentType}-{date}-{feature}-{user})
  • changeNameTemplate (default: {intentType}-{date}-{feature}-{user})

Read the full file on GitHub · 129 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. 3d ago First seen · 129 lines · 27 tokens per session scan A bc4338c5501a

Subscribe to this mod's changes

/ss-create is a command published in the GitHub repository asasugar/SuperSpec (15 stars, last pushed 5mo ago), licensed MIT. It adds 27 tokens to every session and 1,813 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.