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 wezendy/elon-musk-algorithm-skills --skill musk-step-4-accelerate-cycle-timegit clone --depth 1 https://github.com/wezendy/elon-musk-algorithm-skillsWrote 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/wezendy/elon-musk-algorithm-skills/musk-step-4-accelerate-cycle-time)<a href="https://agentmods.dev/skills/wezendy/elon-musk-algorithm-skills/musk-step-4-accelerate-cycle-time"><img src="https://agentmods.dev/badge/skills/wezendy/elon-musk-algorithm-skills/musk-step-4-accelerate-cycle-time/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/wezendy/elon-musk-algorithm-skills/musk-step-4-accelerate-cycle-time"><img src="https://agentmods.dev/badge/skills/wezendy/elon-musk-algorithm-skills/musk-step-4-accelerate-cycle-time.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 | $0.00149 | $0.01101 |
| Opus 5 | $0.00075 | $0.00550 |
| Sonnet 5 | $0.00030 | $0.00220 |
| Haiku 4.5 | $0.00015 | $0.00110 |
Grade A, and why
musk-step-4-accelerate-cycle-time 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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Step 4: Accelerate Cycle Time
Only after step 3. Never speed up a process that should be deleted.
Part of the [[musk-algorithm]]. Fourth in the strict order.
Gate
Before this step, verify in the conversation or diff:
- [[musk-step-1-question-requirements]] has produced a list of named, surviving requirements.
- [[musk-step-2-delete-parts]] has produced an explicit deletion list and predicted add-back.
- [[musk-step-3-simplify-optimize]] has produced a complexity delta for the surviving parts.
If any is absent, stop. Run the missing step first.
Why this step exists
Acceleration on top of accidental complexity hard-codes the complexity into a faster substrate. Once you have invested in making a slow, bloated process fast, the bloat is now even harder to remove because removing it would invalidate the acceleration work.
Musk's order is deliberate: cut, simplify, then speed up what remains. Speeding up before cutting and simplifying is wasted work, and creates an emotional sunk cost that prevents future cuts.
Protocol
- Measure the current cycle. End-to-end time. Per-step time. Wait time vs. work time. Queue depth at each step.
- Identify the longest wait, the longest queue, the longest manual step. This is the bottleneck. Theory of constraints: any improvement that is not at the bottleneck is theater.
- Compress the bottleneck. Not the easy parts. Not the parts that are already fast.
- State the correctness risk. Acceleration almost always introduces shortcuts. Name them explicitly. Silent shortcuts become incidents.
Output format
Current cycle time:
- End-to-end: [duration]
- Per step:
- Step 1 ([name]): [duration], [work vs. wait]
- Step 2 ([name]): [duration], [work vs. wait]
- ...
Bottleneck: [the longest single contributor]
Why this is the bottleneck: [evidence, not assumption]
Acceleration proposal: [specific change at the bottleneck]
Correctness risk introduced: [explicit shortcuts, race conditions, weakened guarantees]
Verification plan: [how you will confirm the acceleration did not break correctness]
Projected new cycle time: [estimate]
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 · 94 lines · 149 tokens per session scan A f0388b81bd21
musk-step-4-accelerate-cycle-time is a skill published in the GitHub repository wezendy/elon-musk-algorithm-skills (9 stars, last pushed 3mo ago), licensed MIT. It adds 149 tokens to every session and 1,101 once invoked, about $0.0007 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 2026-08-31.
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