Feature Development Instructions

Feature Development Instructions is an instructions file for GitHub Copilot from paruff/uFawkesAI. It costs 441 tokens per session, scanned A, original, MIT.

A set of rules for implementing new product features from product-manager issues. It connects each acceptance criterion—the condition that defines success—to a test or browser-based scenario before implementation begins.

In plain words
What is it for?
Use it when building features from GitHub issues, from reading requirements and writing failing tests through implementation, verification, and opening a draft pull request.
Why use it?
It turns an issue into a repeatable development sequence and helps prevent missing requirements. It also requires checks such as linting, type checking, and tests before a change is proposed for review.

Instructions file for GitHub Copilot

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 instructions/paruff/ufawkesai/feature
Clone the repo
git clone --depth 1 https://github.com/paruff/uFawkesAI

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 Feature Development Instructions

README.md
[![agentmods](https://agentmods.dev/badge/instructions/paruff/ufawkesai/feature.svg)](https://agentmods.dev/instructions/paruff/ufawkesai/feature)
Your own site
<a href="https://agentmods.dev/instructions/paruff/ufawkesai/feature"><img src="https://agentmods.dev/badge/instructions/paruff/ufawkesai/feature.svg" alt="Measured on agentmods" height="20"></a>
Per session 441 This file is loaded in full into every session.
When invoked 441 The same file — it is already loaded in full.
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 $0.00441 $0.00441
Opus 5 $0.00220 $0.00220
Sonnet 5 $0.00088 $0.00088
Haiku 4.5 $0.00044 $0.00044

Measured yesterday against content hash cba71f5a3f0d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Feature Development Instructions 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.

.github/instructions/feature.instructions.md · 56 lines

What it actually says

Feature Development Instructions

The PM Issue Is Your Spec

When implementing a feature from a GitHub issue:

  1. Read the acceptance criteria first. Every acceptance criterion becomes either a unit test or a BDD scenario.
  2. Read the user story. Understand why this feature exists before writing any code.
  3. Check docs/KNOWN_LIMITATIONS.md for any gotchas in the area you're working.
  4. Write the failing test first. Commit it before writing implementation code.

Feature Development Sequence

1. Read the issue acceptance criteria
2. Identify which src/services/ functions are needed
3. Write unit test(s) for any new utility logic → commit: test(scope): failing test for [ISSUE-ID]
4. Implement the utility/service logic → commit: feat(scope): implement [ISSUE-ID]
5. Write/update the screen/component → commit: feat(ui): [ISSUE-ID] screen
6. Run: npm run preflight (lint + typecheck + tests must all pass)
7. Open draft PR with the required PR template filled out

Component Patterns

[PLACEHOLDER — Add your actual component patterns here. Example:]

// ✅ Correct — screen uses hook, hook calls service
export function GoalDetailScreen() {
  const { goal, isLoading } = useGoal(goalId);
  // ...
}

// ❌ Wrong — screen calls Firebase directly
export function GoalDetailScreen() {
  const goal = await getDoc(doc(db, "goals", goalId)); // NEVER
}

When Something Is Ambiguous

If the issue acceptance criteria don't cover an edge case:

  • Handle it defensively (validate input, show a user-friendly error)
  • Add a comment: // TODO: PM decision needed — [describe the ambiguity]
  • Flag it in the PR description under "Files I was NOT sure about"

Do NOT invent product decisions. Flag them.

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 · 56 lines · 441 tokens per session scan A cba71f5a3f0d

Subscribe to this mod's changes

Feature Development Instructions is an instructions file published in the GitHub repository paruff/uFawkesAI (2 stars, last pushed 12d ago), licensed MIT. It adds 441 tokens to every session, about $0.0022 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.

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