Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/synaptiai/agent-capability-standard/perspective-validationnpx skills add synaptiai/agent-capability-standard --skill perspective-validationgit clone --depth 1 https://github.com/synaptiai/agent-capability-standardWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/synaptiai/agent-capability-standard/perspective-validation)<a href="https://agentmods.dev/skills/synaptiai/agent-capability-standard/perspective-validation"><img src="https://agentmods.dev/badge/skills/synaptiai/agent-capability-standard/perspective-validation.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00055 | $0.01501 |
| Opus 5 | $0.00028 | $0.00750 |
| Sonnet 5 | $0.00011 | $0.00300 |
| Haiku 4.5 | $0.00006 | $0.00150 |
Grade A, and why
perspective-validation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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 passespython 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.mdpvc_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
-
Scope the review: Confirm
target,domain,deployment, andrisk_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/)
- If the target is a PR or branch diff, identify changed files and whether they touch critical paths (
-
Collect evidence: Read the minimum set of files needed to justify scores
- Prefer evidence anchors as
file:path#Lline(orfile:path:lineif needed) - When reviewing a change set, include at least one evidence item for “what changed” and “what it affects”
- Prefer evidence anchors as
-
Score the checklist: For each PVC test ID (HF-101 … ECO-901), assign one of:
- PASS: explicitly satisfied with evidence
- PARTIAL: acknowledged but missing enforcement/measurement/runbook detail
- FAIL: absent
- N/A: not applicable to this target (include a brief reason in
assumptionsor in an action note)
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 151 lines · 55 tokens per session scan A 196f376a4105
perspective-validation is a skill published in the GitHub repository synaptiai/agent-capability-standard (4 stars, last pushed 5d ago), licensed Apache-2.0. It adds 55 tokens to every session and 1,501 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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