feature-benefits

feature-benefits is a skill for Claude Code from littlebearapps/pitchdocs. It costs 85 tokens per session (1,477 once invoked), scanned A, original, MIT.

A codebase scanner that identifies concrete project features and explains their user benefits using evidence from the code. It can produce feature sections, a “Why” section, and feature audit reports for documentation.

In plain words
What is it for?
Use it when writing or reviewing a README to detect the project type, inspect manifests and code signals, extract supported features, and translate them into plain benefit-focused descriptions.
Why use it?
Developers often describe implementation details without making clear what the software helps users accomplish.

Skill for Claude Code

Written for Claude Code: Claude Code plugin machinery. Also seen: mentions Claude Code.

Part of the pitchdocs plugin — 16 skills, 15 commands, 4 agents shipped together

Good fit Use it when writing or reviewing a README to detect the project type, inspect manifests and code signals, extract supported features, and translate them into plain benefit-focused descriptions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/littlebearapps/pitchdocs/feature-benefits
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 littlebearapps/pitchdocs --skill feature-benefits
Clone the repo
git clone --depth 1 https://github.com/littlebearapps/pitchdocs

Made for: Claude Code.

Or install pitchdocs, the plugin that ships this one along with the rest of its 16 skills, 15 commands, 4 agents.

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-benefits

README.md
[![agentmods](https://agentmods.dev/badge/skills/littlebearapps/pitchdocs/feature-benefits/github.svg)](https://agentmods.dev/skills/littlebearapps/pitchdocs/feature-benefits)
Your own site
<a href="https://agentmods.dev/skills/littlebearapps/pitchdocs/feature-benefits"><img src="https://agentmods.dev/badge/skills/littlebearapps/pitchdocs/feature-benefits/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-benefits

Your own site · 80×15
<a href="https://agentmods.dev/skills/littlebearapps/pitchdocs/feature-benefits"><img src="https://agentmods.dev/badge/skills/littlebearapps/pitchdocs/feature-benefits.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,477 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 $0.00085 $0.01477
Opus 5 $0.00043 $0.00739
Sonnet 5 $0.00017 $0.00295
Haiku 4.5 $0.00009 $0.00148

Measured 9d ago against content hash 1cf1a7308e51, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

feature-benefits 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 9d 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.

.claude/skills/feature-benefits/SKILL.md · 126 lines

How it starts

The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Feature-Benefits Extraction

Scan a codebase systematically, extract concrete features with evidence, classify by impact, and translate into benefit-driven language for documentation.

7-Step Feature Extraction Workflow

Step 1: Detect Project Type

Read the primary manifest to understand the ecosystem:

File Ecosystem Key Fields
package.json Node.js / JavaScript / TypeScript dependencies, scripts, bin, exports, type
pyproject.toml Python [project.dependencies], [project.scripts], [tool.*]
Cargo.toml Rust [dependencies], [features], [[bin]]
go.mod Go require, module path
.claude-plugin/plugin.json Claude Code Plugin skills, commands, agents, hooks

Also check: Makefile, Dockerfile, docker-compose.yml, .github/workflows/, wrangler.toml for deployment signals.

Step 2: Scan Signal Categories

Scan the 10 signal categories: CLI Commands, Public API, Configuration, Integrations, Performance, Security, TypeScript/DX, Testing, Middleware/Plugins, Documentation.

For each category, check file patterns, read matching files, and record what you find. For detailed file patterns and scan lists per category, load SKILL-signals.md from this skill directory.

Step 3: Extract Concrete Features with Evidence

For each signal found, create a feature entry:

Feature: [What it does — concrete, specific]
Evidence: [File path, function name, or config that proves it]
Category: [Signal category from Step 2]

Rules:

  • Every feature must have a file path or function as evidence
  • No speculative features — if you can't point to code, it's not a feature
  • Be specific: "Zero-config TypeScript support" not "Good developer experience"

Step 3.5: Map to Jobs-to-be-Done (Hero features only)

For Hero features, frame the job: When I am [situation], I want [capability], so I can [outcome]. Classify as Functional, Emotional, or Social. Skip JTBD for Core/Supporting tiers and projects with fewer than 5 features. For full JTBD guidance, load SKILL-signals.md.

Read the full file on GitHub · 126 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. 9d ago First seen · 126 lines · 85 tokens per session scan A 1cf1a7308e51

Subscribe to this mod's changes

feature-benefits is a skill published in the GitHub repository littlebearapps/pitchdocs (8 stars, last pushed 4mo ago), licensed MIT. It adds 85 tokens to every session and 1,477 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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