Atlas / Skills / nwave-ai / Nw Research Methodology

Nw Research MethodologySAFE

skills/nwave-ai/nw-research-methodology

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-research-methodology
description: Research output templates, distillation workflow, and quality standards for evidence-driven research
user-invocable: false
disable-model-invocation: true
---

# Research Methodology

## Research Output Template

Use for all research documents in `docs/research/`.

```markdown
# Research: {Topic}

**Date**: {ISO-8601} | **Researcher**: nw-researcher (Nova) | **Confidence**: {High/Medium/Low} | **Sources**: {count}

## Executive Summary
{2-3 paragraph overview of key findings, main insights, and overall conclusion}

## Research Methodology
**Search Strategy**: {how sources were found}
**Source Selection**: Types: {academic/official/industry/technical_docs} | Reputation: {high/medium-high min} | Verification: {cross-referencing approach}
**Quality Standards**: Target 3 sources/claim (min 1 authoritative) | All major claims cross-referenced | Avg reputation: {0.0-1.0}

## Findings

### Finding 1: {Descriptive Title}
**Evidence**: "{Direct quote or specific data point}"
**Source**: [{Source Name}]({URL}) - Accessed {YYYY-MM-DD}
**Confidence**: {High/Medium/Low}
**Verification**: [{Source 2}]({URL2}), [{Source 3}]({URL3})
**Analysis**: {Brief interpretation or context}

{Repeat Finding structure as needed}

## Source Analysis
| Source | Domain | Reputation | Type | Access Date | Cross-verified |
|--------|--------|------------|------|-------------|----------------|
| {name} | {domain} | {High/Medium-High/Medium} | {academic/official/industry/technical} | {YYYY-MM-DD} | {Y/N} |

Reputation: High: {count} ({%}) | Medium-high: {count} ({%}) | Avg: {0.0-1.0}

## Knowledge Gaps
### Gap 1: {Description}
**Issue**: {missing/unclear info} | **Attempted**: {sources searched} | **Recommendation**: {how to address}

## Conflicting Information (if applicable)
### Conflict 1: {Topic}
**Position A**: {Statement} — Source: [{Name}]({URL}), Reputation: {score}, Evidence: {quote}
**Position B**: {Contradictory statement} — Source: [{Name}]({URL}), Reputation: {score}, Evidence: {quote}
**Assessment**: {Which source more authoritative and why}

## Recommendations for Further Research
1. {Specific recommendation with rationale}

## Full Citations
[1] {Author}. "{Title}". {Publication}. {Date}. {URL}. Accessed {YYYY-MM-DD}.

## Research Metadata
Duration: {X min} | Examined: {count} | Cited: {count} | Cross-refs: {count} | Confidence: High {%}, Medium {%}, Low {%} | Output: docs/research/{filename}
```

## Skill Distillation Workflow

When creating a skill (via `*create-skill` or `skill_for` specified):

### Phase 1: Research
Execute comprehensive research, create full doc in `docs/research/{category}/{topic}-comprehensive-research.md`, complete quality gates.

### Phase 2: Distillation
1. Read comprehensive research
2. Transform: academic -> practitioner-focused
3. Preserve 100% essential concepts (no lossy compression)
4. Remove: verbose explanations, extensive examples, redundant cross-refs
5. Keep: core concepts, practical tools, methodologies, decision heuristics
6. Make self-contained (no external refs) | Target <1000 tokens/file
7. Write to `~/.claude/skills/nw-{skill-name}/SKILL.md{topic}-methodology.md`

### Phase 3: Validation
Verify all essential concepts present | Confirm practitioner focus | Check self-containment

## Quality Standards

### Per-Claim Requirements (Adaptive to Turn Budget)

Source requirements adapt to available turn budget:
- **Ideal**: 3+ independent sources per major claim
- **Acceptable**: 2 credible sources when budget is constrained
- **Minimum**: 1 authoritative source (official docs, RFC, specification) with explicit confidence note
- **Never**: 0 sources -- unsourced claims must be flagged as "[unverified]"

When budget runs low, prioritize BREADTH (cover all claims with minimum sources) over DEPTH (exhaust sources for one claim while ignoring others).

Additional requirements:
- Each source validated against trusted source config from prompt context
- Cross-reference status documented per finding

### Confidence Ratings
- **High**: 3+ high-reputation sources agree, no contradictions
- **Medium**: 2+ agree, minor contradictions or some medium-trust
- **Low**: single source or significant contradictions

### Quality Gates (before finalizing)
1. Every major claim has citations (3+ ideal, 2 acceptable, 1 authoritative minimum) | 2. All sources from trusted domains
3. All findings evidence-backed | 4. Knowledge gaps documented | 5. Output in allowed directories
6. Claims with fewer than 3 sources have confidence rating adjusted accordingly
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-research-methodology.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 Research Methodology skill do?

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

Is Nw Research Methodology 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 Research Methodology 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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