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.
git clone --depth 1 https://github.com/dotclaude/marketplaceWrote 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/commands/dotclaude/marketplace/multi_perspective)<a href="https://agentmods.dev/commands/dotclaude/marketplace/multi_perspective"><img src="https://agentmods.dev/badge/commands/dotclaude/marketplace/multi_perspective.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 5.1 | $0.00009 | $0.02415 |
| Opus 5 | $0.00005 | $0.01208 |
| Sonnet 5 | $0.00002 | $0.00483 |
| Haiku 4.5 | $0.00001 | $0.00242 |
Grade A, and why
multi_perspective 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 — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-Perspective Analysis Engine
Generate comprehensive analysis through diverse expert lenses with optimized cognitive harmonics for constructive interference patterns and emergent insight creation. Transform single-viewpoint thinking into rich, multi-dimensional understanding that reveals insights no individual perspective could achieve.
Perspective Selection Framework
Domain Category System
Technical Perspectives [Extended thinking: Core engineering and technical implementation perspectives that address feasibility, performance, security, and maintainability considerations.]
- Architecture: System design patterns, scalability considerations, technical debt implications
- Performance: Speed optimization, resource utilization, bottleneck identification, efficiency analysis
- Security: Threat modeling, vulnerability assessment, defensive strategies, compliance requirements
- Maintainability: Code quality, documentation, testing coverage, future modification ease
- Innovation: Emerging technologies, creative solutions, breakthrough approaches, cutting-edge methods
User-Centered Perspectives [Extended thinking: Human-focused viewpoints that consider experience, accessibility, adoption, and real-world usage patterns.]
- Experience Design: User journey optimization, interface usability, interaction patterns, satisfaction metrics
- Accessibility: Inclusive design, disability considerations, universal access, assistive technology compatibility
- Adoption: Change management, learning curves, user resistance, onboarding complexity
- Behavioral: Psychology-driven design, motivation patterns, habit formation, engagement optimization
- Customer Success: Value realization, outcome achievement, long-term satisfaction, retention factors
Business Perspectives [Extended thinking: Economic and strategic viewpoints that address value creation, market positioning, and organizational impact.]
- Value Proposition: Customer benefit analysis, competitive differentiation, market positioning
- Financial: Cost analysis, revenue impact, ROI calculation, resource optimization, pricing strategy
- Risk Management: Threat assessment, mitigation strategies, contingency planning, insurance considerations
- Market Strategy: Competitive analysis, timing considerations, market fit, growth potential
- Organizational: Team impact, skill requirements, cultural fit, change management needs
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 · 199 lines · 9 tokens per session scan A 88d48036c153
multi_perspective is a command published in the GitHub repository dotclaude/marketplace (43 stars, last pushed 5mo ago), licensed MIT. It adds 9 tokens to every session and 2,415 once invoked, about $0.0000 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 2026-08-30.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.