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.
npx skills add OpenDigitalProductFactory/opendigitalproductfactory --skill dpf-brainstorminggit clone --depth 1 https://github.com/OpenDigitalProductFactory/opendigitalproductfactoryWrote 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.
[](https://agentmods.dev/skills/opendigitalproductfactory/opendigitalproductfactory/dpf-brainstorming)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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_queryfor kernel principles that already constrain this decision class.- Existing
docs/superpowers/specs/anddocs/superpowers/plans/— an approved design may already exist. dpf-verify-substrate-firstwhen 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.
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.
- 12d ago First seen · 74 lines · 35 tokens per session scan A 489467170c48
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.
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