Atlas / Skills / nwave-ai / Nw Stakeholder Engagement

Nw Stakeholder EngagementSAFE

skills/nwave-ai/nw-stakeholder-engagement

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-stakeholder-engagement
description: Demonstration preparation, audience-tailored presentations, feedback collection, and business outcome measurement. Load when preparing demos or measuring business value delivery.
user-invocable: false
disable-model-invocation: true
---

# Stakeholder Engagement

## Demonstration Preparation

### Audience Analysis

Tailor presentation content and depth to audience type:

| Audience | Focus | Style | Success Criteria |
|----------|-------|-------|-----------------|
| Executive | Business value, ROI, strategic alignment | High-level outcomes, success metrics, roadmap | Business objective achievement, ROI demonstration |
| Business | Functional capability, process improvement, UX | Feature walkthrough, workflow demo, benefit realization | Requirement satisfaction, process efficiency |
| Technical | Implementation quality, architecture, ops readiness | Technical deep-dive, architecture review, operational metrics | Technical excellence, operational readiness |

### Demonstration Script Development
Structure as problem-solution narratives:
1. **Before state**: current pain point with quantitative evidence
2. **Feature walkthrough**: end-to-end workflow with realistic data
3. **After state**: measurable improvement with before/after comparison
4. **Business impact**: translate technical metrics to business outcomes

### Preparation Checklist
- [ ] Demo environment set up with realistic data
- [ ] Backup plan for demo failures (screenshots, recorded fallback)
- [ ] Stakeholder briefing sent with agenda and expectations
- [ ] Interactive participation points identified
- [ ] Time budget allocated per section

## Feedback Collection

### Structured Feedback Process
1. Real-time feedback during demonstration (capture questions and concerns)
2. Post-demonstration survey with structured questions
3. Follow-up interviews for deeper insights (optional, for major features)

### Feedback Categories
- **Functional**: does the feature meet requirements?
- **Usability**: is the user experience intuitive?
- **Performance**: does speed/responsiveness meet expectations?
- **Priority**: what enhancements should come next?

### Feedback Action Workflow
1. Categorize feedback items
2. Prioritize by business impact
3. Assign ownership for each action item
4. Communicate response plan with timelines
5. Track resolution to completion

## Business Outcome Measurement

### Quantitative Metrics

| Category | Metrics |
|----------|---------|
| Performance | Response time improvement | throughput gains | error rate reduction |
| Business | Revenue impact | cost reduction | user adoption rate | conversion changes |
| Operational | Deployment frequency | MTTR | support ticket reduction | availability |

### Qualitative Assessments
User satisfaction surveys (NPS, CSAT) | Usability testing results | Stakeholder satisfaction with delivery quality | Alignment with business objectives.

### Success Validation Process
1. **Baseline**: collect pre-implementation measurements
2. **Monitor**: track metrics post-deployment (minimum 2 weeks)
3. **Validate**: compare against success thresholds with statistical rigor
4. **Report**: present results framed in business value terms
5. **Iterate**: identify continuous improvement opportunities

## Retrospective and Lessons Learned

### Delivery Effectiveness Assessment
Feature delivery timeline vs plan | Quality gate effectiveness (false positives/negatives) | Stakeholder satisfaction scores | Implementation quality metrics.

### Knowledge Capture
Successful practices to replicate | Challenges encountered and resolution strategies | Process improvements identified | Tool/technology effectiveness observations.

### Integration into Future Iterations
Update process templates and checklists | Share learnings across teams | Adjust estimation models based on actuals | Feed enhancement requests into backlog.
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-stakeholder-engagement.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 Stakeholder Engagement skill do?

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

Is Nw Stakeholder Engagement 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 Stakeholder Engagement 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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