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-1-question-requirementsgit 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-1-question-requirements)<a href="https://agentmods.dev/skills/wezendy/elon-musk-algorithm-skills/musk-step-1-question-requirements"><img src="https://agentmods.dev/badge/skills/wezendy/elon-musk-algorithm-skills/musk-step-1-question-requirements/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-1-question-requirements"><img src="https://agentmods.dev/badge/skills/wezendy/elon-musk-algorithm-skills/musk-step-1-question-requirements.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 | $0.00151 | $0.00874 |
| Opus 5 | $0.00076 | $0.00437 |
| Sonnet 5 | $0.00030 | $0.00175 |
| Haiku 4.5 | $0.00015 | $0.00087 |
Grade A, and why
musk-step-1-question-requirements 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Step 1: Question Every Requirement
Every requirement needs a named human. Then challenge it.
Part of the [[musk-algorithm]]. First in the strict order. No gate. This is the entry point.
Why this step exists
Requirements accumulate anonymously. Once they have no owner, they become permanent. The most damaging requirements come from senior, smart, or admired sources because they get the least scrutiny. A requirement without a named owner is presumed invented.
Musk's framing: requirements must carry a name. Not "the legal department". Not "safety". Not "the customer". A real human, alive, who can defend it.
Protocol
For each requirement in scope:
- Demand attribution. Ask who specifically originated it. Push back on "the team", "compliance", "best practice", "the customer". These are not names.
- Steelman it. Restate the requirement in the strongest possible form, in the originator's own framing if possible.
- Challenge it. Ask what specifically would break if it were removed. Demand evidence the cost is real, not assumed. The smarter the originator, the harder the challenge.
- Make it less dumb. Reformulate the survivor to be sharper, more specific, narrower in scope. A vague requirement that survives unrevised is a failure of this step.
Output format
For each requirement, produce:
Requirement: [verbatim original]
Originator: [named human, or DELETE if none]
Steelman: [strongest version]
Challenge: [what might be wrong, vestigial, or overreaching]
Verdict: KEEP | REVISE | DELETE
If REVISE: [new wording]
If DELETE: [what breaks if removed, or "nothing identifiable"]
Anti-patterns to refuse
- "Just trust me, it's required." No. Demand the named originator.
- "This came from [senior person], so it must be right." Wrong direction. Smart-person requirements get more scrutiny, not less.
- "Compliance / legal / safety requires it." Demand the specific regulation, article, and the human inside the organization accountable for that interpretation.
- "We've always done it this way." This is the strongest signal to challenge.
- "It might be useful later." Default to DELETE. "Later" requirements are imagined, not real.
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 · 71 lines · 151 tokens per session scan A e4e9b5ab1bad
musk-step-1-question-requirements is a skill published in the GitHub repository wezendy/elon-musk-algorithm-skills (9 stars, last pushed 3mo ago), licensed MIT. It adds 151 tokens to every session and 874 once invoked, about $0.0008 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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