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 skills add yogsoth-ai/stress-test --skill multi-perspective-panelgit clone --depth 1 https://github.com/yogsoth-ai/stress-testWrote 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/yogsoth-ai/stress-test/multi-perspective-panel)<a href="https://agentmods.dev/skills/yogsoth-ai/stress-test/multi-perspective-panel"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/multi-perspective-panel/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/yogsoth-ai/stress-test/multi-perspective-panel"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/multi-perspective-panel.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00029 | $0.00613 |
| Opus 5.5 | $0.00012 | $0.00245 |
| Sonnet 5.5 | $0.00006 | $0.00123 |
| Haiku 4.5 | $0.00003 | $0.00061 |
Grade A, and why
multi-perspective-panel 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 1mo 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-Perspective Panel Strategy
Diverse expert panel evaluates artifact from multiple stakeholder viewpoints.
Method
- debate-architect selects relevant perspectives based on artifact domain
- Each perspective-critic evaluates from assigned stakeholder viewpoint
- divergence-detection maps agreement/disagreement landscape
- Panel deliberation: agents respond to each other's concerns
- confidence-calibration determines if consensus reached or irreconcilable
Budget Table
| Parameter | S | M | L |
|---|---|---|---|
| Debate rounds | 4 | 8 | 12 |
| Participating agents | 3 | 5 | 8 |
| Coverage dimensions | 3 | 5 | 7 |
| External evidence searches | 2 | 5 | 10 |
Orchestration
debate-architect → [select panel perspectives]
→ [parallel]: perspective-critic × N (independent evaluation)
→ divergence-detection (map landscape)
→ [deliberation rounds]:
perspective-critic responds to disagreements
→ divergence-detection → confidence-calibration
→ debate-transcript-analysis → verdict-synthesis
Subagents
- debate-architect (panel composition)
- perspective-critic × N (stakeholder evaluation)
- divergence-detection (agreement mapping)
- confidence-calibration (consensus detection)
Available Tactics
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use |
|---|---|
| stress-test-perspective-rotation | Tactic: Sequential perspective evaluation with divergence aggregation. Each agent evaluates from a distinct viewpoint, then disagreements are surfaced and resolved. |
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| confidence-calibration | Calibrates confidence scores based on debate progression. Determines whether to escalate, continue, or terminate based on cumulative evidence. |
| debate-architect | Designs debate structure based on artifact type — selects attack vectors, assigns perspectives, determines escalation ladder, and configures round parameters. |
| divergence-detection | Identifies agreement and disagreement patterns across multiple perspective evaluations. Maps consensus clusters and persistent divergence points. |
| perspective-critic | Evaluates artifact from a specific assigned perspective. Produces assessment grounded in that viewpoint's values, priorities, and expertise. |
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.
- 1mo ago First seen · 80 lines · 29 tokens per session scan A 8e7a7449ba71
multi-perspective-panel is a skill published in the GitHub repository yogsoth-ai/stress-test (2 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 29 tokens to every session and 613 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
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