new-feature

new-feature is a command for GitHub Copilot from saajunaid/caddis-plugin. It costs 14 tokens per session (881 once invoked), scanned A, original, MIT.

A command that starts a feature by creating an Intent Document and beginning an agent workflow.

In plain words
What is it for?
It is for starting feature work and recording what the feature is intended to do.
Why use it?
It gives a new feature a written purpose and a defined starting process before implementation begins.

Command for GitHub Copilot

Written for GitHub Copilot: a Copilot chat mode or prompt.

Good fit It is for starting feature work and recording what the feature is intended to do.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/saajunaid/caddis-plugin/new-feature
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.

Clone the repo
git clone --depth 1 https://github.com/saajunaid/caddis-plugin

Made for: GitHub Copilot.

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 new-feature

README.md
[![agentmods](https://agentmods.dev/badge/commands/saajunaid/caddis-plugin/new-feature/github.svg)](https://agentmods.dev/commands/saajunaid/caddis-plugin/new-feature)
Your own site
<a href="https://agentmods.dev/commands/saajunaid/caddis-plugin/new-feature"><img src="https://agentmods.dev/badge/commands/saajunaid/caddis-plugin/new-feature/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for new-feature

Your own site · 80×15
<a href="https://agentmods.dev/commands/saajunaid/caddis-plugin/new-feature"><img src="https://agentmods.dev/badge/commands/saajunaid/caddis-plugin/new-feature.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 881 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00014 $0.00881
Opus 5.5 $0.00006 $0.00352
Sonnet 5.5 $0.00003 $0.00176
Haiku 4.5 $0.00001 $0.00088

Measured 1mo ago against content hash 7cce399e4b70, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

new-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 1mo 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.

.github/prompts/new-feature.prompt.md · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/new-feature — Start a New Feature

Begin the automated agent pipeline for a new feature or task.

Input

User's request: {{input}}

If {{input}} is empty, ask: "What feature or task do you want to build? You can provide a detailed description, a rough idea, or reference a backlog item."


Step 1: Assess Input Quality

Evaluate the user's input:

Input Quality Indicators Action
Vague idea No specifics, just a concept ("I want search to be better") → Go to Step 2A (refine with Prompt Engineer)
Rough requirements Some specifics but missing constraints, success criteria → Go to Step 2A (refine with Prompt Engineer)
Clear requirements Has goal, specifics, and some constraints → Go to Step 2B (create Intent Document directly)
Backlog reference Points to a file in .caddis/parking-lot/ → Read the parked item, then go to Step 2B

Step 2A: Refine with Prompt Engineer

The input needs refinement before entering the pipeline.

Intent Documents created or updated in this flow must follow .github/instructions/document-frontmatter.instructions.md.

  1. Read skills/workflow/intent-writer/SKILL.md
  2. Follow the skill to structure the input into an Intent Document
  3. Ask clarifying questions to fill gaps (goal, success criteria, constraints, out of scope)
  4. Run the framework feasibility pre-check
  5. Write the Intent Document to .github/agent-docs/intents/
  6. Update .github/agent-docs/ARTIFACTS.md
  7. Present the Intent Document to the user for approval

Step 2B: Create Intent Document Directly

The input is clear enough — structure it without extensive Q&A.

Intent Documents created or updated in this flow must follow .github/instructions/document-frontmatter.instructions.md.

  1. Read skills/workflow/intent-writer/SKILL.md
  2. Follow the skill to create the Intent Document
  3. Run the framework feasibility pre-check
  4. Write the Intent Document to .github/agent-docs/intents/
  5. Update .github/agent-docs/ARTIFACTS.md
  6. Present the Intent Document to the user for approval

Read the full file on GitHub · 117 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. 1mo ago First seen · 117 lines · 14 tokens per session scan A 7cce399e4b70

Subscribe to this mod's changes

new-feature is a command published in the GitHub repository saajunaid/caddis-plugin (0 stars, last pushed today), licensed MIT. It adds 14 tokens to every session and 881 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-09.