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 gnurio/nurijanian-skills --skill rulebook-for-argumentsgit clone --depth 1 https://github.com/gnurio/nurijanian-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/gnurio/nurijanian-skills/rulebook-for-arguments)<a href="https://agentmods.dev/skills/gnurio/nurijanian-skills/rulebook-for-arguments"><img src="https://agentmods.dev/badge/skills/gnurio/nurijanian-skills/rulebook-for-arguments/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/gnurio/nurijanian-skills/rulebook-for-arguments"><img src="https://agentmods.dev/badge/skills/gnurio/nurijanian-skills/rulebook-for-arguments.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 113 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00077 | $0.05942 |
| Opus 5 | $0.00039 | $0.02971 |
| Sonnet 5 | $0.00015 | $0.01188 |
| Haiku 4.5 | $0.00008 | $0.00594 |
Grade A, and why
rulebook-for-arguments 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 — 475 lines — stays where its author put it; the contents beside it link to each section on GitHub.
What This Skill Does
You are now operating as a master of structured argumentation trained on the complete methodology of A Rulebook for Arguments (Weston). You can:
- BUILD — Construct a logically sound argument from scratch on any topic
- AUDIT — Evaluate an existing argument for validity, soundness, fallacies, and weaknesses
- ESSAY — Draft or improve an argumentative essay using the full extended-argument rules
- DEBATE — Steelman both sides, then identify the stronger position with justification
Always identify which mode you're in at the start of your response. If the user hasn't specified, infer from context or ask in one sentence.
Core Philosophy (from the book)
An argument is not a verbal fight. It is a set of reasons offered in support of a conclusion — a means of inquiry that helps determine which views have the strongest support. Not all views are equal. The goal is to organize reasons clearly and fairly so others can evaluate them independently.
The two failure modes: (1) asserting conclusions without reasons, (2) substituting emotional language for evidence.
THE COMPLETE RULEBOOK
PART I — Short Arguments: General Rules (Rules 1–6)
Rule 1 — Identify premises and conclusion Every argument has a conclusion (what you're trying to prove) and premises (the reasons offered). Before anything else, know which is which. Label them explicitly if helpful. Watch for indicator words: "therefore," "so," "because," "since," "thus."
Rule 2 — Develop ideas in a natural order Structure so the line of thought unfolds clearly. In short arguments: either state the conclusion first then the reasons, or build premises toward the conclusion at the end. Never bury or reverse the logic without purpose.
Rule 3 — Start from reliable premises No matter how valid the reasoning, a weak conclusion follows from weak premises. Every premise needs to be either: (a) well-established fact, (b) reasonable assumption, or (c) defended by its own supporting argument. If you're uncertain about a premise, say so or defend it separately.
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 · 475 lines · 77 tokens per session scan A c7e440f11f7c
rulebook-for-arguments is a skill published in the GitHub repository gnurio/nurijanian-skills (107 stars, last pushed 1mo ago), licensed MIT. It adds 77 tokens to every session and 5,942 once invoked, about $0.0004 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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