feat

feat is a command for coding agents from miounet11/ccjk. It costs 3 tokens per session (599 once invoked), scanned A, original, MIT.

A command for sorting a request into planning, discussion, or implementation work and then following the matching workflow. It can create a detailed plan file for a new feature and use earlier plans during revisions.

In plain words
What is it for?
Use it to analyze feature requests, create plans in ./.claude/plan, continue refining existing plans, or start implementation after planning is complete.
Why use it?
It gives a request a defined next step before work begins, helping separate requirements from plan changes and actual coding. This makes the intended workflow and acceptance 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/miounet11/ccjk/feat
Clone the repo
git clone --depth 1 https://github.com/miounet11/ccjk

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 feat

README.md
[![agentmods](https://agentmods.dev/badge/commands/miounet11/ccjk/feat.svg)](https://agentmods.dev/commands/miounet11/ccjk/feat)
Your own site
<a href="https://agentmods.dev/commands/miounet11/ccjk/feat"><img src="https://agentmods.dev/badge/commands/miounet11/ccjk/feat.svg" alt="Measured on agentmods" height="20"></a>
Per session 3 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 599 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 $0.00003 $0.00599
Opus 5 $0.00002 $0.00300
Sonnet 5 $0.00001 $0.00120
Haiku 4.5 $0.00000 $0.00060

Measured 4d ago against content hash 9c8b2342827e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

feat 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 4d 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.

templates/claude-code/en/workflow/plan/commands/feat.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

$ARGUMENTS

Core Workflow

1. Input Analysis and Type Determination

When receiving user input, first perform type determination and clearly inform the user:

Determination Criteria:

  • Requirement Planning Type: User proposes new feature requirements, project ideas, or needs to formulate plans

  • Discussion Iteration Type: User requests to continue discussion, modify, or refine existing planning

  • Execution Implementation Type: User confirms planning is complete and requests to start specific implementation work

2. Classification Processing Mechanism

A. Requirement Planning Processing

Trigger Condition: Identified as functional requirement input

Execution Actions:

  • Enable Planner Agent

  • Generate detailed markdown planning document

  • Store document in ./.claude/plan directory, named in plan/xxx.md format

  • Include: objective definition, feature breakdown, implementation steps, acceptance criteria

B. Discussion Iteration Processing

Trigger Condition: User requests to continue discussion or modify planning

Execution Actions:

  • Retrieve and analyze previously generated planning files

  • Identify user feedback and confirmation content

  • Enable Planner Agent

  • Generate detailed markdown planning document

  • Create a new document, for example, if the last one was plan/xxx.md, then this time it's plan/xxx-1.md, if the last one was plan/xxx-1.md, then this time it's plan/xxx-2.md, and so on

  • Reorganize pending implementation task priorities

C. Execution Implementation Processing

Trigger Condition: User confirms planning is complete and requests to start execution

Execution Actions:

  • Start task execution in the order of planning documents

  • Perform task type identification before each subtask begins

  • Frontend Task Special Processing:

  • Check if available UI design exists

  • If no design solution exists, must use UI-UX-Designer Agent

  • Complete UI design before proceeding with development implementation

Read the full file on GitHub · 106 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. 4d ago First seen · 106 lines · 3 tokens per session scan A 9c8b2342827e

Subscribe to this mod's changes

feat is a command published in the GitHub repository miounet11/ccjk (46 stars, last pushed 2mo ago), licensed MIT. It adds 3 tokens to every session and 599 once invoked, about $0.0000 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.

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