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 codebygarv/Ai-skills --skill first-principles-analyzergit clone --depth 1 https://github.com/codebygarv/Ai-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/codebygarv/ai-skills/first-principles-analyzer)<a href="https://agentmods.dev/skills/codebygarv/ai-skills/first-principles-analyzer"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/first-principles-analyzer.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 5.1 | $0.00026 | $0.00379 |
| Opus 5 | $0.00013 | $0.00189 |
| Sonnet 5 | $0.00005 | $0.00076 |
| Haiku 4.5 | $0.00003 | $0.00038 |
Grade A, and why
first-principles-analyzer 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.
What it actually says
Purpose
Strip away industry cargo-culting, legacy conventions, and reasoning-by-analogy to rebuild solutions strictly from fundamental constraints (physics, math, raw computing limits, core business rules).
When to Use
- When existing solutions are bloated, expensive, or overly complex because "that is how everyone does it."
- When rethinking an architectural component or feature from the ground up.
- When evaluating whether an established best practice actually applies to your specific constraints.
What to Analyze
- Identify the Core Objective: What is the non-negotiable end goal in one sentence?
- Catalog Received Assumptions: List every assumption inherited from typical stacks, standard patterns, or prior systems.
- Isolate Hard Constraints: What physical, computational, legal, or mathematical limits cannot be broken?
- Question Derived Rules: For each assumed rule, ask "Is this fundamentally required, or just a convention?"
- Reconstruct from Scratch: Synthesize the leanest possible design that satisfies the hard constraints.
Output Format
- Core Objective & Boundary: The single essential truth.
- Deconstructed Assumptions: Table of [Common Assumption vs. Fundamental Reality].
- Hard Constraints vs. Artificial Constraints: Clear separation of real limits vs choices.
- Reconstructed First-Principles Design: The minimal, high-efficiency path.
- Key Trade-offs: What convention-driven conveniences are sacrificed.
Avoid
- Recommending a tool just because "FAANG uses it".
- Over-engineering custom solutions when a simple standard tool has negligible overhead.
- Confusing organizational inertia with technical constraints.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 37 lines · 26 tokens per session scan A 5ab620934e44
first-principles-analyzer is a skill published in the GitHub repository codebygarv/Ai-skills (25 stars, last pushed 19d ago), licensed MIT. It adds 26 tokens to every session and 379 once invoked, about $0.0001 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 2026-09-03.
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