feature-scoping

feature-scoping is a skill for Claude Code from stanislavnianko/product-discovery-claude-skills. It costs 73 tokens per session (1,359 once invoked), scanned A, original, MIT.

A way to define exactly what a proposed feature includes and excludes, producing a scope document that engineering can estimate and a client can approve.

In plain words
What is it for?
Use it during product discovery to turn a proposed feature into a clear statement of deliverables and boundaries for a proposal or statement of work.
Why use it?
It removes ambiguity about the work, timeline, constraints, assumptions, and solution boundaries before implementation begins.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the discovery-phase plugin — 25 skills shipped together

Good fit Use it during product discovery to turn a proposed feature into a clear statement of deliverables and boundaries for a proposal or statement of work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/stanislavnianko/product-discovery-claude-skills/feature-scoping
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.

Any agent
npx skills add stanislavnianko/product-discovery-claude-skills --skill feature-scoping
Clone the repo
git clone --depth 1 https://github.com/stanislavnianko/product-discovery-claude-skills

Made for: Claude Code.

Or install discovery-phase, the plugin that ships this one along with the rest of its 25 skills.

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-scoping

README.md
[![agentmods](https://agentmods.dev/badge/skills/stanislavnianko/product-discovery-claude-skills/feature-scoping/github.svg)](https://agentmods.dev/skills/stanislavnianko/product-discovery-claude-skills/feature-scoping)
Your own site
<a href="https://agentmods.dev/skills/stanislavnianko/product-discovery-claude-skills/feature-scoping"><img src="https://agentmods.dev/badge/skills/stanislavnianko/product-discovery-claude-skills/feature-scoping/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 feature-scoping

Your own site · 80×15
<a href="https://agentmods.dev/skills/stanislavnianko/product-discovery-claude-skills/feature-scoping"><img src="https://agentmods.dev/badge/skills/stanislavnianko/product-discovery-claude-skills/feature-scoping.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,359 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 $0.00073 $0.01359
Opus 5 $0.00036 $0.00679
Sonnet 5 $0.00015 $0.00272
Haiku 4.5 $0.00007 $0.00136

Measured 12d ago against content hash 4b1f1fcf8e0e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

feature-scoping 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 12d 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.

plugins/discovery-phase/skills/feature-scoping/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Feature Scoping

Part of the discovery-phase skill pack · scoping group · reads discovery-context.md (run profile-builder first if missing).

The boundary-drawing skill. Output is a scope doc precise enough that engineering can estimate it and the client can sign off on it. Built to be paste-able into a proposal or SoW (commercial documents) with minimal rework.

Step 1 — Read context

Read discovery-context.md (sections 3. Engagement, 5. Expected deliverable, 6. Constraints), opportunity-tree.md (solution direction), and risk-assumption-map.md (top assumptions to retire).

If discovery-context.md is missing, ask the BA inline: "(a) timeline + budget shape (days / weeks / month / quarter); (b) any hard constraints (NDA / regulatory / tech-stack lock-in)?" — tag the output [ASSUMED ENGAGEMENT]. If opportunity-tree.md is missing, ask for solution direction in one line, or proceed tagged [NO-SOLUTION-DIRECTION]. If risk-assumption-map.md is missing, ask for 1–3 top assumptions to retire, or proceed tagged [NO-RISK-FRAME]. Never block; recommend profile-builder / opportunity-mapping / risk-assumption-mapping for high-stakes work.

Step 2 — State the MVP job

One sentence. "The scope lets <user> do <task> in <context>, such that <top assumption from risk-map> is retired."

This anchors scope to assumption-retirement, not feature completeness.

Step 3 — Draw the scope line — 11 areas

Every row must have BOTH in and out. Ambiguity is where mid-build scope creep lives. If a row is genuinely "TBD", say so explicitly with a deadline for resolution, but don't leave blanks.

Area In Out
Users / segments Which segment / seats Which segments excluded
Core flow The one happy path Alternative flows
Auth Existing SSO / new login Role-based permissions
Data Read / write, persistence Migrations, historical data
Integrations The 1 must-have All others
UI polish Rough / polished / designer-built
Error handling Which errors shown, which swallowed
Observability What we'll log to learn Full prod telemetry
Platforms Web / mobile / CLI
Accessibility A11y floor (e.g., keyboard-only ok, screen reader later)
i18n English-only or specific languages

Read the full file on GitHub · 104 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 12d ago First seen · 104 lines · 73 tokens per session scan A 4b1f1fcf8e0e

Subscribe to this mod's changes

feature-scoping is a skill published in the GitHub repository stanislavnianko/product-discovery-claude-skills (1 stars, last pushed 4mo ago), licensed MIT. It adds 73 tokens to every session and 1,359 once invoked, about $0.0004 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 2026-08-31.

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