feature

feature is a command for coding agents from sawrus/agent-guides. It costs 11 tokens per session (718 once invoked), scanned A, original, MIT.

A command that coordinates several software roles through a full feature-delivery process, from defining the request and acceptance criteria to planning, implementation, testing, and final approval.

In plain words
What is it for?
Use it to scope a feature, plan its technical and user-experience work, organize implementation, verify it, and prepare it for acceptance.
Why use it?
It gives each part of feature development a clear owner and makes the expected outputs and quality checks explicit.

Command

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/sawrus/agent-guides/feature
Clone the repo
git clone --depth 1 https://github.com/sawrus/agent-guides

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

README.md
[![agentmods](https://agentmods.dev/badge/commands/sawrus/agent-guides/feature.svg)](https://agentmods.dev/commands/sawrus/agent-guides/feature)
Your own site
<a href="https://agentmods.dev/commands/sawrus/agent-guides/feature"><img src="https://agentmods.dev/badge/commands/sawrus/agent-guides/feature.svg" alt="Measured on agentmods" height="20"></a>
Per session 11 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 718 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 $0.00011 $0.00718
Opus 5 $0.00005 $0.00359
Sonnet 5 $0.00002 $0.00144
Haiku 4.5 $0.00001 $0.00072

Measured yesterday against content hash c4c4d45de926, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

feature 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.

extensions/opencode/commands/feature.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/feature - Create New Feature

This command executes an SDLC workflow with explicit subagent ownership per step.

Roles

  • Primary: @product-owner
  • Subagents: @pm, @team-lead, @designer, @developer, @qa

RACI-lite

Step Responsible Accountable Consulted
Scope definition @product-owner, @pm @product-owner @team-lead, @designer
Technical/design planning @team-lead, @designer @team-lead @pm, @qa
Delivery planning @pm @pm @product-owner, @team-lead
Implementation @developer @team-lead @qa, @designer
Verification @qa @qa @developer, @team-lead
Final acceptance @product-owner @product-owner @pm, @team-lead, @qa

Workflow Steps

Step 1 — Scope and Success Criteria

  • Owner: @product-owner + @pm
  • Inputs: stakeholder request, constraints, context
  • Actions: define scope, outcomes, acceptance criteria, non-goals
  • Outputs: docs/<feature_name>/README.md
  • Done: acceptance criteria are testable and approved for planning

Step 2 — Technical and UX Plan

  • Owner: @team-lead + @designer
  • Inputs: approved scope
  • Actions: architecture and UX approach, risks, milestones, quality gates
  • Outputs: implementation_plan.md, design_brief.md, optional diagrams
  • Done: approach is feasible and reviewable

Step 3 — Delivery Plan and Alignment

  • Owner: @pm
  • Inputs: plan artifacts from Step 2
  • Actions: sequence tasks, define handoffs, confirm schedule/risk handling
  • Outputs: delivery_plan.md, risk_register.md
  • Done: stakeholder confirms plan and priorities

Step 4 — Implementation Increment

  • Owner: @developer
  • Inputs: approved implementation/design/delivery plans
  • Actions: implement scope slice, add/update tests, run quality checks
  • Outputs: code changes + test evidence + implementation notes
  • Done: ready for QA + Team Lead review

Step 5 — Verification and Review

  • Owner: @qa + @team-lead
  • Inputs: implementation increment
  • Actions: execute verification strategy, review architecture/code quality, classify findings
  • Outputs: test report, review feedback, blocker list
  • Done: either accepted or sent back with actionable fixes

Read the full file on GitHub · 76 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 · 76 lines · 11 tokens per session scan A c4c4d45de926

Subscribe to this mod's changes

feature is a command published in the GitHub repository sawrus/agent-guides (17 stars, last pushed 4d ago), licensed MIT. It adds 11 tokens to every session and 718 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 2026-09-03.