Atlas / Skills / nwave-ai / Nw Brainstorming

Nw BrainstormingSAFE

skills/nwave-ai/nw-brainstorming

AI agents that guide you from idea to working code, with you in control at every step.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
617
01

Overview

AI agents that guide you from idea to working code, with you in control at every step.

Read from source at commit 1a864ec81cdeOBSERVED · 2026-10-14
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02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: nw-brainstorming
description: Structured divergent thinking techniques — HMW framing, SCAMPER, Crazy 8s mechanics, and option diversity guarantees. Enforces strict separation of generation and evaluation phases.
user-invocable: false
disable-model-invocation: true
---

# Structured Brainstorming

## The Separation Principle — Foundational Rule

Generation and evaluation CANNOT happen simultaneously. Osborn (1953): "You cannot get hot and cold water from the same faucet at the same time — you only get tepid water."

**Consequence for the agent**: All options must be generated before any option is scored. Never filter or rank during generation. Self-censorship during generation degrades both the quality of ideas and the quality of evaluation.

---

## Phase 1: HMW Framing — Set Up the Ideation Space

Before generating any options, reframe the problem as a "How Might We" question.

**Rules for valid HMW questions**:
- No embedded solutions: "How might we make onboarding faster?" ✓ vs "How might we add tooltips?" ✗
- Outcome-oriented, not feature-oriented
- Broad enough for genuinely different approaches
- Positive framing (not "How might we avoid X?")

**Example transformation**:
- Feature request: "Add a dashboard to show workflow status"
- Bad HMW: "How might we build a better dashboard?"
- Good HMW: "How might we give teams confidence that their workflow is progressing correctly?"

The good HMW opens the solution space: the answer isn't necessarily a dashboard.

---

## Phase 2: SCAMPER — 7 Structurally Different Lenses

Apply each SCAMPER lens to the validated job to generate one option per letter. This guarantees structural diversity — each letter produces a categorically different type of option.

| Letter | Lens | Question | What it produces |
|--------|------|----------|-----------------|
| **S** | Substitute | What if the core mechanism were replaced entirely? | Alternative technology/approach |
| **C** | Combine | What if this job were merged with an adjacent job? | Integrated solution |
| **A** | Adapt | What works well in a different domain? Could we borrow it? | Cross-domain transfer |
| **M** | Modify/Magnify | What if the most important dimension were amplified? | Focused excellence |
| **P** | Put to other use | Who else has this job? Could the solution serve them too? | Market extension |
| **E** | Eliminate | What if we removed the most complex part? | Radical simplification |
| **R** | Reverse | What if the workflow ran backwards? User and system switched roles? | Inversion |

**Required output**: At minimum, one option per SCAMPER letter. Name each option clearly. Do not evaluate during generation.

---

## Phase 3: Crazy 8s Supplement — Volume and Self-Censorship Removal

After SCAMPER, generate 2-4 additional options by imagining you have only 1 minute per idea. The time pressure mechanic prevents evaluation creep.

**Constraint**: Each additional option must differ structurally from all SCAMPER options. Not a variation — a different type of approach.

---

## Phase 4: Option Curation — Converge to 6

Before handing off to taste evaluation:

1. List all generated options (7+ from SCAMPER + supplements)
2. Remove exact duplicates only — not similar ones, exact
3. Group options that are genuine variations of the same approach → keep the strongest representative
4. Target: **6 options** for evaluation (evidence-backed sweet spot: enough diversity, evaluable without overload)

**Diversity test** — each of the 6 options should answer yes to:
- Different mechanism? (not just variation in degree)
- Different assumption about user behavior?
- Different cost/effort profile?

If two options share all three, they are variations — merge them.

---

## Option Format

Each option in `options-raw.md` must follow:

```
### Option N: [Name]

**Core idea**: One sentence — what would a user actually experience?
**Key mechanism**: What makes this work?
**Key assumption**: What must be true for this to succeed?
**SCAMPER origin**: Which lens generated this? (or "Crazy 8s supplement")
**Closest competitor**: What existing product does this most?
```

---

## Anti-Patterns to Avoid

| Anti-pattern | Why it fails | Correction |
|-------------|-------------|-----------|
| Generating one good idea and elaborating it | Confirmation bias — narrows too early | Apply all SCAMPER letters before stopping |
| "Improved version of the existing approach" | Not divergent — variation, not option | Apply E (Eliminate) or R (Reverse) |
| Filtering during generation ("that won't work") | Destroys divergent thinking | Generate everything, filter in taste phase |
| Options that share the same core mechanism | False diversity | Apply diversity test before curating |
| Skipping HMW framing | Solution space collapses prematurely | HMW must precede any generation |

---

## DIVERGE Output for Brainstorming Phase

Produce `docs/feature/{feature-id}/diverge/options-raw.md` with:

1. **HMW question** — the validated framing
2. **SCAMPER options** — one per letter, named and described
3. **Crazy 8s supplements** — 2-4 additional structurally distinct options
4. **Curated 6** — with diversity test results
5. **Eliminated options** — brief note on why merged/removed

**Gate**: 6 curated options, each passing the 3-point diversity test, before taste evaluation begins.
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-14 · audit v0.4.1 · source sha 1a864ec81cdefull audit observations/trust-audit/skill/nwave-ai__nw-brainstorming.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-141a864ec81cdeSAFEB89first audit
05

Questions

What does the Nw Brainstorming skill do?

AI agents that guide you from idea to working code, with you in control at every step.

Is Nw Brainstorming safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Nw Brainstorming access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (1a864ec81cde), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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