feature-create

feature-create is a command for Claude Code from jayvee/aigon. It costs 10 tokens per session (1,828 once invoked), scanned A, a copy of afc, Apache-2.0.

A command for creating a new feature specification in the project’s feature-spec inbox. It guides the agent to inspect the codebase and write a specification based on the existing architecture and conventions.

In plain words
What is it for?
Use it to start a new feature request and produce a repository-specific specification.
Why use it?
It gives feature work a written plan before implementation begins, including technical details, dependencies, and acceptance criteria.

Command for Claude Code

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/jayvee/aigon/feature-create
Clone the repo
git clone --depth 1 https://github.com/jayvee/aigon

Made for: Claude Code.

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 feature-create

README.md
[![agentmods](https://agentmods.dev/badge/commands/jayvee/aigon/feature-create.svg)](https://agentmods.dev/commands/jayvee/aigon/feature-create)
Your own site
<a href="https://agentmods.dev/commands/jayvee/aigon/feature-create"><img src="https://agentmods.dev/badge/commands/jayvee/aigon/feature-create.svg" alt="Measured on agentmods" height="20"></a>
Per session 10 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,828 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 97% copy Near-identical to another mod 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 $0.00010 $0.01828
Opus 5 $0.00005 $0.00914
Sonnet 5 $0.00002 $0.00366
Haiku 4.5 $0.00001 $0.00183

Measured yesterday against content hash a99c8563d060, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

feature-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 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.

Origin

This is a copy

97% identical to afc — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/commands/aigon/feature-create.md · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

aigon-feature-create

Run this command followed by the feature name.

aigon feature-create {{args}}

This creates a new feature spec in ./docs/specs/features/01-inbox/.

IMPORTANT: Do not launch or foreground an editor, terminal, or Markdown preview after creation. Continue by reading and editing the spec through the current agent session; use the exact path printed by the CLI.

Step 1: Read Project Conventions

Tip: If you are running this command in your own Claude Code session (no --agent flag), press Shift+Tab now to enter plan mode before drafting — this keeps your session read-only while you explore the codebase and propose the spec.

Explore the codebase to understand the existing architecture, patterns, and code relevant to this feature. Use that investigation both to plan the approach and to resolve technical facts without asking the user. Consider:

  • What existing code will this feature interact with?
  • Are there patterns or conventions in the codebase to follow?
  • What technical constraints or dependencies exist?

Use this understanding to write a well-informed spec — especially the Technical Approach, Dependencies, and Acceptance Criteria sections.

Step 2: Deepen — interview the user before writing

Follow this procedure literally. Deepen applies to this installed agent command; the bare aigon feature-create CLI remains a noninteractive scaffolder.

  1. Apply the gate. Inspect the raw invocation arguments in the command above. If they contain --quick, skip the rest of Deepen and continue to Step 3. Otherwise run:

    aigon config get deepen.enabled
    

    Skip the rest of Deepen only when the effective value is false. Remember whether a value of true was reported as (from default) or came from explicit project/global configuration; this controls the final hint below.

  2. Build a coverage map before asking anything. Read the user's request, the bare-bones spec just created, any available planning context, and the relevant code. If the in-flight spec has planning_context:, read that plan and use it as the source of recommended answers. Do not re-interview the user about decisions already resolved there. Investigate discoverable technical facts — including existing patterns, dependencies, constraints, and file paths — instead of asking the user for them.

  3. Check coverage internally in dependency order: Summary → User Stories → Acceptance Criteria → Technical Approach → Dependencies → Out of Scope → complexity:. This is a decision dependency order, not a requirement to ask one question for every section. Ask only when the answer could materially change scope, acceptance criteria, or approach.

  4. Ask the highest-leverage unresolved question, one question per message. Every question must challenge a consequential assumption or surface a meaningful alternative; do not ask a template-completion question. Attach a proposed answer on its own clearly labelled line:

Read the full file on GitHub · 157 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 · 157 lines · 10 tokens per session scan A a99c8563d060

Subscribe to this mod's changes

feature-create is a command published in the GitHub repository jayvee/aigon (24 stars, last pushed 3d ago), licensed Apache-2.0. It adds 10 tokens to every session and 1,828 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to afc, differing in 2 lines, and is treated as a copy.