musk-step-1-question-requirements

musk-step-1-question-requirements is a skill for Claude Code from wezendy/elon-musk-algorithm-skills. It costs 151 tokens per session (874 once invoked), scanned A, original, MIT.

A review step for testing each requirement before work begins or changes are made. It asks for a specific person who created the requirement and examines whether it is truly needed.

In plain words
What is it for?
Reviewing existing requirements and evaluating new requests, constraints, policies, or “we need to” statements before building.
Why use it?
Requirements often gain authority without anyone being responsible for them, which can leave unnecessary rules and work in place. This step makes their origin and purpose clear.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the elon-musk-algorithm-skills plugin — 6 skills shipped together

Good fit Reviewing existing requirements and evaluating new requests, constraints, policies, or “we need to” statements before building.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wezendy/elon-musk-algorithm-skills/musk-step-1-question-requirements
Install

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.

Any agent
npx skills add wezendy/elon-musk-algorithm-skills --skill musk-step-1-question-requirements
Clone the repo
git clone --depth 1 https://github.com/wezendy/elon-musk-algorithm-skills

Made for: Claude Code.

Or install elon-musk-algorithm-skills, the plugin that ships this one along with the rest of its 6 skills.

Wrote 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.

agentmods badge for musk-step-1-question-requirements

README.md
[![agentmods](https://agentmods.dev/badge/skills/wezendy/elon-musk-algorithm-skills/musk-step-1-question-requirements/github.svg)](https://agentmods.dev/skills/wezendy/elon-musk-algorithm-skills/musk-step-1-question-requirements)
Your own site
<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.

agentmods 80×15 button for musk-step-1-question-requirements

Your own site · 80×15
<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>
Per session 151 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 874 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 12d ago against content hash e4e9b5ab1bad, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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.

skills/musk-step-1-question-requirements/SKILL.md · 71 lines

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:

  1. Demand attribution. Ask who specifically originated it. Push back on "the team", "compliance", "best practice", "the customer". These are not names.
  2. Steelman it. Restate the requirement in the strongest possible form, in the originator's own framing if possible.
  3. 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.
  4. 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.

Read the full file on GitHub · 71 lines

Changes

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.

  1. 12d ago First seen · 71 lines · 151 tokens per session scan A e4e9b5ab1bad

Subscribe to this mod's changes

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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