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 stress-test-perspective-rotationgit 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/stress-test-perspective-rotation)<a href="https://agentmods.dev/skills/yogsoth-ai/stress-test/stress-test-perspective-rotation"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/stress-test-perspective-rotation/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/stress-test-perspective-rotation"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/stress-test-perspective-rotation.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 | $0.00032 | $0.00567 |
| Opus 5 | $0.00016 | $0.00283 |
| Sonnet 5 | $0.00006 | $0.00113 |
| Haiku 4.5 | $0.00003 | $0.00057 |
Grade A, and why
stress-test-perspective-rotation 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 7d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Perspective Rotation Tactic
Sequential multi-perspective evaluation followed by divergence analysis and deliberation.
Orchestration
- debate-architect assigns N perspectives (domain expert, skeptic, practitioner, theorist, etc.)
- [Parallel] Each perspective-critic evaluates artifact from assigned viewpoint
- divergence-detection compares all evaluations:
- Identifies consensus points (agreement across >70% of perspectives)
- Identifies divergence points (disagreement across >50% of perspectives)
- [Deliberation] Perspective-critics respond to divergence points
- divergence-detection re-evaluates — tracks convergence trend
- confidence-calibration determines if further rounds needed
Perspective Types
- Domain Expert (technical validity)
- Methodological Skeptic (rigor and reproducibility)
- Practitioner (real-world applicability)
- Theorist (conceptual coherence)
- Adversary (strongest possible objection)
- Novice (clarity and accessibility)
Subagents Dispatched
- debate-architect (perspective assignment)
- perspective-critic × N (evaluation from viewpoint)
- divergence-detection (agreement/disagreement mapping)
- confidence-calibration (convergence assessment)
Termination Conditions
- Convergence reached (divergence points < 2)
- Max deliberation rounds exhausted
- Saturation detected (no position changes between rounds)
- Irreconcilable disagreement identified (flagged for human review)
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.
- 7d ago First seen · 70 lines · 32 tokens per session scan A 6dff7e43da53
stress-test-perspective-rotation is a skill published in the GitHub repository yogsoth-ai/stress-test (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 32 tokens to every session and 567 once invoked, about $0.0002 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 2026-09-03.
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