Borrowing it
Nothing to install: this file belongs to namastexlabs/automagik-cli. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/namastexlabs/automagik-cli/main/.claude/commands/speed.mdgit clone --depth 1 https://github.com/namastexlabs/automagik-cliWrote 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/namastexlabs/automagik-cli/speed)<a href="https://agentmods.dev/commands/namastexlabs/automagik-cli/speed"><img src="https://agentmods.dev/badge/commands/namastexlabs/automagik-cli/speed/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/commands/namastexlabs/automagik-cli/speed"><img src="https://agentmods.dev/badge/commands/namastexlabs/automagik-cli/speed.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 | $0.00000 | $0.03640 |
| Opus 5.5 | $0.00000 | $0.01456 |
| Sonnet 5.5 | $0.00000 | $0.00728 |
| Haiku 4.5 | $0.00000 | $0.00364 |
Grade A, and why
speed 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 1mo 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 — 509 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/speed
allowed-tools: Task(), Read(), Write(), Edit(), MultiEdit(), Glob(), Grep(), Bash(), LS(), TodoWrite(), WebSearch(), mcp__zen__, mcp__search-repo-docs__, mcp__ask-repo-agent__, mcp__genie_memory__, mcp__send_whatsapp_message__, mcp__wait__* description: Genie Speed Optimization Framework - AI-assisted performance optimization with generate-and-verify approach
Genie Speed Optimization Framework
Overview
The Genie Speed Optimization Framework is an AI-assisted performance optimization system inspired by Codeflash that follows a "generate and verify" approach. It uses multi-model consensus to generate optimizations, rigorously verifies performance improvements, and maintains code correctness through comprehensive testing.
Core Philosophy
- Generate and Verify: AI models propose optimizations, empirical benchmarking validates improvements
- One Commit Per Optimization: Each optimization attempt gets its own commit for traceability
- Automatic Revert: Failed optimizations are automatically reverted to prevent regressions
- Multi-Model Consensus: Complex optimizations require agreement from multiple AI models
- Minimum Runtime Principle: Performance measured using best-of-N runs to minimize noise
Framework Components
1. Benchmarking Infrastructure (scripts/speed/)
- benchmark_runner.py: Core benchmarking engine with minimum runtime measurement
- performance_profiler.py: Code profiling and bottleneck identification
- noise_reduction.py: Statistical techniques for stable performance measurement
- baseline_manager.py: Manages performance baselines and regression detection
2. Git Automation (scripts/speed/git/)
- checkpoint_manager.sh: Creates optimization checkpoints and manages branches
- auto_revert.sh: Automatically reverts failed optimizations
- commit_automation.py: Handles structured commits with performance metadata
- conflict_resolver.py: Manages git conflicts during optimization workflows
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.
- 1mo ago First seen · 509 lines · 0 tokens per session scan A 00c1646a0b02
speed is a command published in the GitHub repository namastexlabs/automagik-cli (6 stars, last pushed 11mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,640 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 2026-09-04.
Other commands, from other repositories
playwright-test-heal
Run all my tests and fix the failing ones.
verify-bug
Post-merge UAT verification workflow. Walks JIRA reproduce steps, performs comparative audits (Before/After), attaches evidence to JIRA, and transitions status on PASS.
api-aqa-flow-execution-and-report-analysis
Phase 6 Execution & Report Analysis of api-aqa-flow (USER INTERACTION REQUIRED).
bugfix
Bug fix workflow: root cause analysis → user review → regression test + fix via TDD.
timeout-fix
A procedure for diagnosing and fixing tests that exceed their time limit by finding causes such as slow processing, hanging network calls, deadlocks, heavy setup, or leaked resources.
AGENTS
Run the current binary in a temporary test repository with a real PTY. Use tmux-cli when available, capture terminal output, and inspect -vv logs when behavior depends on timing or shell state. Avoid treating a piped command as proof of interactive behavior.