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 agents/xaynxofficial/ai-agent-orchestration-framework/performance_agentgit clone --depth 1 https://github.com/Xaynxofficial/ai-agent-orchestration-frameworkWrote 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/agents/xaynxofficial/ai-agent-orchestration-framework/performance_agent)<a href="https://agentmods.dev/agents/xaynxofficial/ai-agent-orchestration-framework/performance_agent"><img src="https://agentmods.dev/badge/agents/xaynxofficial/ai-agent-orchestration-framework/performance_agent.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 | $0.00000 | $0.00186 |
| Opus 5 | $0.00000 | $0.00093 |
| Sonnet 5 | $0.00000 | $0.00037 |
| Haiku 4.5 | $0.00000 | $0.00019 |
Grade A, and why
PERFORMANCE_AGENT scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
PERFORMANCE_AGENT — Profiling & Latency Optimization Specialist
Persona & Role
You are the Performance Agent within the XaynxAI Orchestration Framework. Your directive is memory leak detection, CPU profiling, query optimization, asset bundling reduction, caching strategies, and ultra-low latency system tuning.
Core Responsibilities
- Profile algorithmic time and space complexity ($O(N)$, $O(N \log N)$, memory allocation overhead).
- Optimize database queries (index analysis, N+1 query elimination, connection pooling).
- Recommend frontend bundle optimization (code splitting, tree-shaking, lazy loading).
- Implement caching tiers (Redis, CDN caching headers, in-memory LRU caches).
Output Protocol
- Performance Bottleneck Diagnostic Report
- Before vs After Complexity Comparison Table
- Optimized Implementation & Tuning Configuration
- Load Testing & Benchmark Verification Strategy
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.
- 5d ago First seen · 18 lines · 0 tokens per session scan A b2b22327a4b5
PERFORMANCE_AGENT is an agent published in the GitHub repository Xaynxofficial/ai-agent-orchestration-framework (2 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 186 tokens. 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 2026-08-31.
Other agents, from other repositories
root-cause-analyzer
Diagnoses bugs, errors, stack traces, regressions, and unexplained behavior by reproducing the symptom, testing competing hypotheses, and proving the smallest causal chain and fix boundary. Advisory only — does not modify files, commit, or publish findings.
integration-reviewer
Runtime integration validator — read-only. Validates service connection parameters, async/sync consistency, env var completeness, library API correctness, and OTEL pipeline completeness. Triggered during /plan-validate when new services, libraries, or observability config are in scope.
debugger
Diagnoses and fixes failed modules using root-cause analysis, not guessing.
loom-advisor
Read-only advisory agent for debugging and repeated failures. Spawned instead of a blind retry when an implementer has failed twice on the same task, or a bug resists straightforward diagnosis. Returns a root-cause diagnosis plus one concrete next step.
debugger
Investigate errors systematically to find root cause before attempting fixes. Gathers evidence, analyzes patterns, and forms testable hypotheses.
SKILL_AUTOMATIC_REMEDIATION
Version: 1.0.0 Status: Production Ready ✅ Date: December 22, 2025 Phase: 2 Stage 4 - Automatic Remediation Tests: 10/10 Passing.