sfdipot-product-factors

sfdipot-product-factors is a skill for Claude Code from summarybotng/summarybot-ng. It costs 60 tokens per session (1,906 once invoked), scanned A, original, MIT.

A method for analysing a product or requirement from seven angles: structure, behaviour, data, connections, platform, operation, and time.

In plain words
What is it for?
Use it to plan testing for epics, user stories, specifications, and architecture documents.
Why use it?
It helps turn broad requirements into a more complete, prioritised set of test ideas and exposes gaps in the test plan.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to plan testing for epics, user stories, specifications, and architecture documents.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/summarybotng/summarybot-ng/sfdipot-product-factors
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 summarybotng/summarybot-ng --skill sfdipot-product-factors
Clone the repo
git clone --depth 1 https://github.com/summarybotng/summarybot-ng

Made for: Claude Code.

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 sfdipot-product-factors

README.md
[![agentmods](https://agentmods.dev/badge/skills/summarybotng/summarybot-ng/sfdipot-product-factors/github.svg)](https://agentmods.dev/skills/summarybotng/summarybot-ng/sfdipot-product-factors)
Your own site
<a href="https://agentmods.dev/skills/summarybotng/summarybot-ng/sfdipot-product-factors"><img src="https://agentmods.dev/badge/skills/summarybotng/summarybot-ng/sfdipot-product-factors/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 sfdipot-product-factors

Your own site · 80×15
<a href="https://agentmods.dev/skills/summarybotng/summarybot-ng/sfdipot-product-factors"><img src="https://agentmods.dev/badge/skills/summarybotng/summarybot-ng/sfdipot-product-factors.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,906 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 $0.00060 $0.01906
Opus 5 $0.00030 $0.00953
Sonnet 5 $0.00012 $0.00381
Haiku 4.5 $0.00006 $0.00191

Measured 7d ago against content hash f8cd55b13e95, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

sfdipot-product-factors 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 7d 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/sfdipot-product-factors/SKILL.md · 240 lines

How it starts

The opening of the file, as written. The whole thing — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SFDIPOT Product Factors Analysis

<default_to_action> When analyzing requirements:

  1. IDENTIFY document type (epic, user story, spec, architecture doc)
  2. DETECT domain context (ecommerce, healthcare, finance, etc.)
  3. ANALYZE each SFDIPOT category systematically
  4. GENERATE test ideas with action verbs (no "Verify" patterns)
  5. ASSIGN priorities (P0-P3) and automation fitness
  6. SURFACE clarifying questions for coverage gaps
  7. OUTPUT in requested format (HTML, JSON, MD, Gherkin)

Quality Gates:

  • Human exploration >= 10%
  • No "Verify X" test patterns
  • Priority distribution: P0 (8-12%), P1 (20-30%), P2 (35-45%), P3 (20-30%) </default_to_action>

Quick Reference Card

The 7 Product Factors

Factor Question Example Focus Areas
Structure What IS it? Components, code, dependencies
Function What does it DO? Features, calculations, errors
Data What does it PROCESS? Input, output, persistence
Interfaces How does it CONNECT? UI, API, integrations
Platform What does it DEPEND ON? OS, browser, hardware
Operations How is it USED? Workflows, admin, recovery
Time WHEN do things happen? Concurrency, scheduling

When to Use This Skill

Scenario Priority Output
New epic planning High Full SFDIPOT assessment + test ideas
Sprint requirement review Medium Targeted analysis + clarifying questions
Test strategy definition High Comprehensive test coverage plan
Risk assessment High Domain-weighted priority assignment
Coverage gap analysis Medium Penetrating questions + recommendations

SFDIPOT Analysis Framework

Structure (What the product IS)

Subcategories:

  • Code Integrity: Code quality, complexity, maintainability
  • Hardware: Physical components, devices, peripherals
  • Non-Executable Files: Config, data files, documents
  • Executable Files: Binaries, scripts, libraries
  • Dependencies: Third-party libraries, external services

Read the full file on GitHub · 240 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. 7d ago First seen · 240 lines · 60 tokens per session scan A f8cd55b13e95

Subscribe to this mod's changes

sfdipot-product-factors is a skill published in the GitHub repository summarybotng/summarybot-ng (2 stars, last pushed 3mo ago), licensed MIT. It adds 60 tokens to every session and 1,906 once invoked, about $0.0003 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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