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 skills/sharpdeveye/maestro/turbochargenpx skills add sharpdeveye/maestro --skill turbochargegit clone --depth 1 https://github.com/sharpdeveye/maestroWrote 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/sharpdeveye/maestro/turbocharge)<a href="https://agentmods.dev/skills/sharpdeveye/maestro/turbocharge"><img src="https://agentmods.dev/badge/skills/sharpdeveye/maestro/turbocharge.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 | $0.00031 | $0.00649 |
| Opus 5 | $0.00015 | $0.00324 |
| Sonnet 5 | $0.00006 | $0.00130 |
| Haiku 4.5 | $0.00003 | $0.00065 |
Grade A, and why
turbocharge 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 4d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MANDATORY PREPARATION
Invoke /agent-workflow — it contains workflow principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no workflow context exists yet, you MUST run /teach-maestro first.
Start your response with:
──────────── ⚡ TURBOCHARGE ─────────────
》》》 Entering turbocharge mode...
Push a workflow past conventional limits. This isn't about adding features — it's about making existing capabilities operate at a level users didn't think was possible.
EXTRA IMPORTANT: Context determines what "extraordinary" means. Understand the project's scale before deciding what to turbocharge.
Propose Before Building
- Think through 2-3 different directions with trade-offs
- Present these options to the user and wait for their selection before writing code
- Only proceed with the confirmed direction
For high-throughput workflows
- Parallel fan-out: Split input, process N simultaneously, merge results
- Streaming pipelines: Start processing step N+1 while step N runs
- Progressive quality: Fast pass on everything, detailed pass on flagged items
- Smart batching: Group similar items, outliers get individual treatment
For latency-critical workflows
- Speculative execution: Start likely next step before current finishes
- Cached warm paths: Pre-compute responses for common patterns
- Model cascading: Try fastest model first, escalate only when needed
For reliability-critical workflows
- Automatic failover: Detect failures, switch to alternatives automatically
- State checkpointing: Save state, resume from any point after crash
- Chaos testing: Intentionally break dependencies to verify recovery
For adaptive workflows
- Complexity routing: Route simple inputs to fast paths, complex to thorough
- Dynamic model selection: Choose model based on task requirements
- Feedback-driven optimization: Track what works best, adapt routing
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.
- 4d ago First seen · 81 lines · 31 tokens per session scan A acf6c48f62fd
turbocharge is a skill published in the GitHub repository sharpdeveye/maestro (415 stars, last pushed 4mo ago), licensed MIT. It adds 31 tokens to every session and 649 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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