Atlas / Skills / nwave-ai / Nw Shared Artifact Tracking

Nw Shared Artifact TrackingSAFE

skills/nwave-ai/nw-shared-artifact-tracking

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-shared-artifact-tracking
description: Shared artifact registry, common artifact patterns, and integration validation. Load when tracking data that flows across journey steps or validating horizontal coherence.
user-invocable: false
disable-model-invocation: true
---

# Shared Artifact Tracking

## Purpose

Shared artifacts are data values appearing in multiple places across a journey. Every ${variable} must have a single source of truth and documented consumers. Untracked artifacts are the primary cause of horizontal integration failures.

## Artifact Registry Schema

```yaml
shared_artifacts:
  {artifact_name}:
    source_of_truth: "{canonical file path}"
    consumers: ["{list of places this value appears}"]
    owner: "{responsible feature/component}"
    integration_risk: "HIGH|MEDIUM|LOW - {explanation}"
    validation: "{How to verify consistency}"
```

## Common Artifact Patterns

### Version
Source: `pyproject.toml` | Consumers: CLI --version, about command, README, install output
Risk: HIGH -- version mismatch breaks user trust

### Install Path
Source: `config/paths.yaml` or `constants.py` | Consumers: install script, uninstall script, documentation
Risk: HIGH -- path mismatch breaks installation

### Repository URL
Source: `pyproject.toml` or config | Consumers: README, error messages, install docs
Risk: MEDIUM -- URL mismatch breaks external links

### Configuration Values
Source: config file or environment variable | Consumers: runtime behavior, documentation, defaults display
Risk: MEDIUM -- inconsistency causes confusion

### Command Names
Source: CLI argument parser definition | Consumers: help text, documentation, error messages, tutorials
Risk: HIGH -- name mismatch makes features undiscoverable

## Integration Validation

### Consistency Check Process
1. List all shared artifacts from journey schema
2. For each artifact, verify source of truth exists
3. For each consumer, verify it references correct source
4. Flag any artifact without documented source
5. Flag any consumer that hardcodes instead of referencing source

### Validation Questions
- "Does every ${variable} in TUI mockups have a documented source?"
- "If the version changes, would all consumers automatically update?"
- "Are there hardcoded values that should reference a shared artifact?"
- "Do any two steps display the same data from different sources?"

### Quality Gates

Journey completeness: all steps have clear goals | CLI commands/actions | emotional annotations | shared artifacts tracked | integration checkpoints defined

Emotional coherence: emotional arc defined (start/middle/end) | no jarring transitions | confidence builds progressively | error states guide to resolution

Horizontal integration: all shared artifacts have single source of truth | all consumers documented | integration checkpoints validate consistency | CLI vocabulary consistent

CLI UX compliance: command structure follows chosen pattern | help available on all commands | progressive disclosure implemented | error messages actionable

## Handoff Specifications

### To Requirements Crafting (internal handoff within Luna)
Artifacts: `docs/feature/{feature-id}/discuss/journey-{name}.yaml` (complete journey with emotional arc) | `docs/feature/{feature-id}/discuss/shared-artifacts-registry.md` (tracked artifacts with sources)

Validation: journey complete with all steps | emotional arc defined | shared artifacts documented | CLI vocabulary consistent

### To Acceptance Designer (Quinn)
Deliverables: `docs/feature/{feature-id}/discuss/journey-{name}.yaml` (journey schema) | `docs/feature/{feature-id}/discuss/journey-{name}.feature` (Gherkin scenarios) | `docs/feature/{feature-id}/discuss/shared-artifacts-registry.md` (integration validation points)

Validation: all product-owner checks passed | Gherkin scenarios generated | integration checkpoints testable | peer review approved
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-shared-artifact-tracking.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 Shared Artifact Tracking skill do?

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

Is Nw Shared Artifact Tracking 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 Shared Artifact Tracking 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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