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 human-avatar/skills-for-humanity --skill s4h-logic-argument-validationgit clone --depth 1 https://github.com/human-avatar/skills-for-humanityWrote 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/human-avatar/skills-for-humanity/s4h-logic-argument-validation)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-logic-argument-validation"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-logic-argument-validation/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/human-avatar/skills-for-humanity/s4h-logic-argument-validation"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-logic-argument-validation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00112 | $0.01226 |
| Opus 5 | $0.00056 | $0.00613 |
| Sonnet 5 | $0.00022 | $0.00245 |
| Haiku 4.5 | $0.00011 | $0.00123 |
Grade A, and why
s4h-logic-argument-validation 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 9d 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Logic Argument Validation
An argument can sound compelling while the reasoning is broken. Confident language, plausible premises, a conclusion that feels right — none of these guarantee the argument actually holds. This skill validates the structure: do the premises support the conclusion, and is the reasoning free of fallacies?
Your Process
Step 1: Extract the argument structure Before evaluating, make the argument explicit:
- Premises: what claims is the argument built on?
- Conclusion: what is it trying to prove?
- Reasoning: what's the logical path from premises to conclusion?
Restate this clearly before proceeding. Often the weakest point becomes obvious once the structure is explicit.
Framing check: Confirm the argument being examined and the claim at stake before continuing. State what you've identified — the actual argument and the conclusion it is trying to establish — in one sentence, then use AskUserQuestion:
- Question: "I'm reading this as: [your one-sentence framing of the argument and its conclusion]. Is that right?"
- Header: "Framing"
- Options:
- Yes — proceed — framing is correct
- Adjust — one element is off; user will correct it before you continue
- Reframe — different situation than read; incorporate the correction before proceeding
Step 2: Test premise soundness For each premise:
- Is it stated as fact? Is it actually established, assumed, or contested?
- Is it relevant to the conclusion, or is it doing rhetorical work without logical work?
- Are there hidden premises — unstated assumptions the argument silently depends on?
Step 3: Test the inference Does the conclusion actually follow from the premises, even if the premises are true? Common inference failures:
- The premises support a weaker version of the conclusion than the one being claimed
- The reasoning jumps over a step that would need its own justification
- The conclusion is true but for reasons the premises don't establish
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.
- 9d ago First seen · 116 lines · 112 tokens per session scan A 5895bd5038c0
s4h-logic-argument-validation is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 112 tokens to every session and 1,226 once invoked, about $0.0006 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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