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 mhattingpete/claude-skills-marketplace --skill ensemble-solvinggit clone --depth 1 https://github.com/mhattingpete/claude-skills-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/skills/mhattingpete/claude-skills-marketplace/ensemble-solving)<a href="https://agentmods.dev/skills/mhattingpete/claude-skills-marketplace/ensemble-solving"><img src="https://agentmods.dev/badge/skills/mhattingpete/claude-skills-marketplace/ensemble-solving/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/mhattingpete/claude-skills-marketplace/ensemble-solving"><img src="https://agentmods.dev/badge/skills/mhattingpete/claude-skills-marketplace/ensemble-solving.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00035 | $0.01050 |
| Opus 5 | $0.00017 | $0.00525 |
| Sonnet 5 | $0.00007 | $0.00210 |
| Haiku 4.5 | $0.00003 | $0.00105 |
Grade A, and why
ensemble-solving 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 12d 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 — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ensemble Problem Solving
Generate multiple solutions in parallel by spawning 3 subagents with different approaches, then evaluate and select the best result.
When to Use
Activation phrases:
- "Give me options for..."
- "What's the best way to..."
- "Explore different approaches..."
- "I want to see alternatives..."
- "Compare approaches for..."
- "Which approach should I use..."
Good candidates:
- Architecture decisions with trade-offs
- Code generation with multiple valid implementations
- API design with different philosophies
- Naming, branding, documentation style
- Refactoring strategies
- Algorithm selection
Skip ensemble for:
- Simple lookups or syntax questions
- Single-cause bug fixes
- File operations, git commands
- Deterministic configuration changes
- Tasks with one obvious solution
What It Does
- Analyzes the task to determine if ensemble approach is valuable
- Generates 3 distinct prompts using appropriate diversification strategy
- Spawns 3 parallel subagents to develop solutions independently
- Evaluates all solutions using weighted criteria
- Returns the best solution with explanation and alternatives summary
Approach
Step 1: Classify Task Type
Determine which category fits:
- Code Generation: Functions, classes, APIs, algorithms
- Architecture/Design: System design, data models, patterns
- Creative: Writing, naming, documentation
Step 2: Invoke Ensemble Orchestrator
Task tool with:
- subagent_type: 'ensemble-orchestrator'
- description: 'Generate and evaluate 3 parallel solutions'
- prompt: [User's original task with full context]
The orchestrator handles:
- Prompt diversification
- Parallel execution
- Solution evaluation
- Winner selection
Step 3: Present Result
The orchestrator returns:
- The winning solution (in full)
- Evaluation scores for all 3 approaches
- Why the winner was selected
- When alternatives might be preferred
Diversification Strategies
What ships with it
2 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.
- 12d ago First seen · 167 lines · 35 tokens per session scan A 6d64765beece
ensemble-solving is a skill published in the GitHub repository mhattingpete/claude-skills-marketplace (671 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 35 tokens to every session and 1,050 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 2026-08-30.
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