perspective-validationlisted
Install: claude install-skill synaptiai/agent-capability-standard
## Intent
Produce a **PVC report** (Perspective Validation Checklist) that scores the target against key non-type failure modes (human factors, governance, economics, adversarial security, loop stability, data governance, and legitimacy) with concrete evidence references and remediation actions.
**Success criteria:**
- A valid PVC report is written to `docs/reviews/pvc/` and passes `python skills/perspective-validation/scripts/validate_pvc.py`
- Each non-N/A score is justified with at least one evidence reference
- Any FAIL/PARTIAL includes a concrete remediation action (P0/P1/P2)
**References:**
- `CHECKLIST.md`
- `pvc_report_template.yaml`
## Inputs
| Parameter | Required | Type | Description |
|-----------|----------|------|-------------|
| `target` | Yes | string | What to review (file/dir path, workflow name, or PR/change description) |
| `risk_tier` | No | enum | `low \| medium \| high` (defaults to `medium` if unclear) |
| `domain` | No | string | Domain context (e.g., `general`, `manufacturing`, `healthcare`) |
| `deployment` | No | string | Deployment context (e.g., `local-dev`, `customer-facing`, `safety-critical`) |
## Procedure
1) **Scope the review**: Confirm `target`, `domain`, `deployment`, and `risk_tier`
- If the target is a PR or branch diff, identify changed files and whether they touch critical paths (`schemas/`, `hooks/`, `skills/`, `grounded_agency/`, `tools/`, `spec/`)
2) **Collect evidence**: Read the minimum set of files needed to justify s