dpf-brainstorming

dpf-brainstorming is a skill for Claude Code from OpenDigitalProductFactory/opendigitalproductfactory. It costs 35 tokens per session (958 once invoked), scanned A, original, Apache-2.0.

A method for generating several grounded approaches to an open design problem. DPF refers to a project-specific decision process that uses the existing code and documentation before proposing options.

In plain words
What is it for?
Exploring design choices for a new feature, specification, data shape, or refactor. Finding candidate approaches before another process selects one.
Why use it?
It reduces guesswork when a feature or specification could be implemented in more than one way. It also avoids inventing components that the project already has.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions Claude Code; mentions AGENTS.md.

Part of the dpf-platform plugin — 68 skills, 1 hook shipped together

Good fit Exploring design choices for a new feature, specification, data shape, or refactor. Finding candidate approaches before another process selects one.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/opendigitalproductfactory/opendigitalproductfactory/dpf-brainstorming
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 OpenDigitalProductFactory/opendigitalproductfactory --skill dpf-brainstorming
Clone the repo
git clone --depth 1 https://github.com/OpenDigitalProductFactory/opendigitalproductfactory

Made for: Claude Code.

Or install dpf-platform, the plugin that ships this one along with the rest of its 68 skills, 1 hook.

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 dpf-brainstorming

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/opendigitalproductfactory/opendigitalproductfactory/dpf-brainstorming"><img src="https://agentmods.dev/badge/skills/opendigitalproductfactory/opendigitalproductfactory/dpf-brainstorming.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 958 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 $0.00035 $0.00958
Opus 5 $0.00017 $0.00479
Sonnet 5 $0.00007 $0.00192
Haiku 4.5 $0.00003 $0.00096

Measured 12d ago against content hash 489467170c48, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

dpf-brainstorming 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.

packages/dpf-skill-pack/skills/dpf-brainstorming/SKILL.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DPF Brainstorming

Generating options is assumed. The DPF layer is that an option must be grounded in existing substrate before it counts as a candidate, and that the kernel — not taste — picks the winner.

Predecessor to dpf-decision-via-kernel: this produces the options, the kernel weighs them.

When to use

  • Authoring a spec under docs/superpowers/specs/ with the approach unsettled.
  • A design fork mid-implementation: schema shape A vs B, eager vs lazy, refactor vs special-case.
  • The operator asks "how could we do X?" and there is real solution-space.

When NOT to use

  • One obvious approach and no real alternative — proceed; do not manufacture options to look thorough.
  • The decision is empirical (benchmark, security test) — gather evidence instead.
  • Options are already enumerated — go straight to dpf-decision-via-kernel.

Ground before inventing

This is the step that makes the difference. The DPF architecture is denser than first reads suggest, and most "we'll need a new X" reflexes are wrong because X already exists. Before listing approaches:

  • search_code_graph({ query: "<topic>", limit: 10 }) for a curated subgraph.
  • wiki_query for kernel principles that already constrain this decision class.
  • Existing docs/superpowers/specs/ and docs/superpowers/plans/ — an approved design may already exist.
  • dpf-verify-substrate-first when an option would introduce a new substrate concept.

Then

Produce 2-4 architecturally distinct options — the minimal fix, the durable rebuild, the reuse-existing path — each with a stable id and the axis it wins and loses on. Those tensions are the raw material the kernel scores.

Hand off to dpf-decision-via-kernel rather than picking by gut. If one option is clearly correct after grounding, say so and proceed. Save the design doc to docs/superpowers/specs/YYYY-MM-DD-<topic>-design.md.

Read the full file on GitHub · 74 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. 12d ago First seen · 74 lines · 35 tokens per session scan A 489467170c48

Subscribe to this mod's changes

dpf-brainstorming is a skill published in the GitHub repository OpenDigitalProductFactory/opendigitalproductfactory (14 stars, last pushed yesterday), licensed Apache-2.0. It adds 35 tokens to every session and 958 once invoked, about $0.0002 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 2026-08-30.