Atlas / Skills / nwave-ai / Nw Discover

Nw DiscoverSAFE

skills/nwave-ai/nw-discover

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-discover
description: "Conducts evidence-based product discovery through customer interviews and assumption testing. Use at project start to validate problem-solution fit."
user-invocable: true
argument-hint: '[product-concept] - Optional: --interview-depth=[overview|comprehensive] --output-format=[md|yaml]'
---

# NW-DISCOVER: Evidence-Based Product Discovery

**Wave**: DISCOVER | **Agent**: Scout (nw-product-discoverer)

## Overview

Execute evidence-based product discovery through assumption testing and market validation. First wave in nWave (DISCOVER > DISCUSS > SPIKE > DESIGN > DEVOPS > DISTILL > DELIVER).

Scout establishes product-market fit through rigorous customer development using Mom Test interviewing principles and continuous discovery practices.

## Output Tiers (per D2)

Provenance: feature `lean-wave-documentation` — D2 (schema-typed sections), D10 (one-line expansion descriptions). Tier-1 [REF] sections (always emitted) + Tier-2 EXPANSION CATALOG items (lazy, on-demand) are the two output bands. Full contract + provenance for `[REF]` / `[WHY]` / `[HOW]` heading convention: `nWave/skills/nw-density-resolution-contract/SKILL.md`.

### Tier-1 [REF] — always emitted

Under `## Wave: DISCOVER / [REF] <Section>` headings:

- Persona ID — one-line user identifier mapped to the journey
- Opportunity statement — single-sentence problem/opportunity framing
- Validated assumptions — list with confidence level per item
- Invalidated assumptions — list with evidence reference per item
- Dropped options — alternatives weighed and rejected (one-line each)
- Decision gate (G1-G4) — pass/fail status per gate
- Constraints established — evidence-backed constraints from interviews
- Pre-requisites — dependencies on prior waves or features

### Tier-2 EXPANSION CATALOG — lazy, on-demand (per D10)

Rendered under `## Wave: DISCOVER / [WHY|HOW] <Section>` only when requested via `--expand <id>` (DDD-2), the broad wave-end menu (`expansion_prompt = "ask"`), a declared trigger under `expansion_prompt = "ask-intelligent"`, `mode = "full"` auto-expansion, or an ad-hoc user request mid-session.

| Expansion ID | Tier label | One-line description |
|---|---|---|
| `discovery-interview-transcripts` | [WHY] | Full interview transcripts with verbatim quotes (Mom Test compliance evidence) |
| `jtbd-analysis` | [WHY] | Jobs-to-be-Done analysis: functional/emotional/social dimensions per job |
| `taste-evaluation-rationale` | [WHY] | Decision rationale for each evaluated opportunity (why fit, why not) |
| `alternative-opportunities` | [WHY] | Alternative product opportunities considered and rejected |
| `four-forces-narrative` | [WHY] | Push/Pull/Anxiety/Habit narrative analysis per primary job |
| `lean-canvas-walkthrough` | [HOW] | Lean canvas section-by-section walkthrough for stakeholder reviews |
| `interview-protocol` | [HOW] | Step-by-step interview script with Mom Test follow-up patterns |
| `expansion-catalog-rationale` | [WHY] | Why this set of expansions, why these defaults, why D10 enforces one-line descriptions |

## Density resolution (per D12)

Call `resolve_density(global_config)` from `scripts/shared/density_config.py` after reading `~/.nwave/global-config.json` (missing/malformed = empty dict). Returns `mode` (`"lean"` | `"full"`) + `expansion_prompt` (`"ask"` | `"ask-intelligent"` | `"always-skip"` | `"always-expand"` | `"smart"`) per the D12 cascade (resolver-internal, DDD-5 — do NOT replicate locally). Branch on `density.mode` for what to emit; branch on `density.expansion_prompt` at wave end for menu behaviour. DISCOVER declares no `ask-intelligent` triggers: emit no menu and the shared-contract no-trigger skip event; do not invent triggers. Full cascade detail, branch semantics, ad-hoc override workflow ("expand X" / "tell me why"): `nWave/skills/nw-density-resolution-contract/SKILL.md`.

## Telemetry (per D4 + DDD-6)

Every expansion choice emits a `DocumentationDensityEvent` (dataclass at `src/des/domain/telemetry/documentation_density_event.py`) via `event.to_audit_event()` → `JsonlAuditLogWriter().log_event(...)`. Schema fields per D4: `feature_id`, `wave`, `expansion_id`, `choice`, `timestamp`. For this wave the schema declares `"wave": "DISCOVER"`. Use helper `scripts/shared/telemetry.py:write_density_event(...)` — do NOT write JSONL directly.

Wave-specific signal: DISCOVER feeding into DISCUSS — downstream `--expand` invocations are a signal the lean baseline is too thin. Full emission rules (one event per `ask` choice; synthetic skip event for `always-skip`; per-item expand event for `full` / `always-expand`): `nWave/skills/nw-density-resolution-contract/SKILL.md`.

## Context Files Required

- docs/project-brief.md — Initial product vision (if available)
- docs/market-context.md — Market research and competitive landscape (if available)

## Previous Artifacts

None (DISCOVER is the first wave).

## Wave Decisions Summary

Before completing DISCOVER, produce `docs/feature/{feature-id}/discover/wave-decisions.md`:

1. **Record Key Decisions** — List each decision as `[D1] {decision}: {rationale} (see: {source-file})`. Gate: every major discovery choice has a rationale entry.
2. **Record Constraints** — List each constraint established from evidence. Gate: all constraints have an evidence source.
3. **Record Validated Assumptions** — List each assumption confirmed, with confidence level. Gate: confidence level stated for each.
4. **Record Invalidated Assumptions** — List each assumption disproved, with evidence reference. Gate: evidence reference present for each invalidation.

This summary enables downstream waves to quickly assess DISCOVER outcomes without reading all artifacts.

## Document Update (Back-Propagation)

DISCOVER is the first wave but it DOES write to SSOT. It has no prior wave to back-propagate to, but it seeds the SSOT for downstream waves:

1. **Seed journeys** — Write initial `docs/product/journeys/{name}.yaml` with the persona, opportunity s
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-discover.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 Discover skill do?

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

Is Nw Discover 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 Discover 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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