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 commands/natea/exomind/performance-bottlenecksgit clone --depth 1 https://github.com/natea/ExoMindWrote 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/natea/exomind/performance-bottlenecks)<a href="https://agentmods.dev/commands/natea/exomind/performance-bottlenecks"><img src="https://agentmods.dev/badge/commands/natea/exomind/performance-bottlenecks.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 | $0.00000 | $0.00310 |
| Opus 5 | $0.00000 | $0.00155 |
| Sonnet 5 | $0.00000 | $0.00062 |
| Haiku 4.5 | $0.00000 | $0.00031 |
Grade A, and why
performance-bottlenecks 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 3d 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.
This is a copy
100% identical to performance-bottlenecks — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Performance Bottleneck Analysis
Purpose
Identify and resolve performance bottlenecks in your development workflow.
Automated Analysis
1. Real-time Detection
The post-task hook automatically analyzes:
- Execution time vs. complexity
- Agent utilization rates
- Resource constraints
- Operation patterns
2. Common Bottlenecks
Time Bottlenecks:
- Tasks taking > 5 minutes
- Sequential operations that could parallelize
- Redundant file operations
Coordination Bottlenecks:
- Single agent for complex tasks
- Unbalanced agent workloads
- Poor topology selection
Resource Bottlenecks:
- High operation count (> 100)
- Memory constraints
- I/O limitations
3. Improvement Suggestions
Tool: mcp__claude-flow__task_results
Parameters: {"taskId": "task-123", "format": "detailed"}
Result includes:
{
"bottlenecks": [
{
"type": "coordination",
"severity": "high",
"description": "Single agent used for complex task",
"recommendation": "Spawn specialized agents for parallel work"
}
],
"improvements": [
{
"area": "execution_time",
"suggestion": "Use parallel task execution",
"expectedImprovement": "30-50% time reduction"
}
]
}
Continuous Optimization
The system learns from each task to prevent future bottlenecks!
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.
- 3d ago First seen · 59 lines · 0 tokens per session scan A 61e9e3a163b2
performance-bottlenecks is a command published in the GitHub repository natea/ExoMind (21 stars, last pushed 10mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 310 tokens. A static security scan graded it A with 0 findings. It is 100% identical to performance-bottlenecks, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
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Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
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.