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 muhammad1438/academic-writer-skills --skill argumentation-enginegit clone --depth 1 https://github.com/muhammad1438/academic-writer-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/muhammad1438/academic-writer-skills/argumentation-engine)<a href="https://agentmods.dev/skills/muhammad1438/academic-writer-skills/argumentation-engine"><img src="https://agentmods.dev/badge/skills/muhammad1438/academic-writer-skills/argumentation-engine/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/muhammad1438/academic-writer-skills/argumentation-engine"><img src="https://agentmods.dev/badge/skills/muhammad1438/academic-writer-skills/argumentation-engine.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 | $0.00000 | $0.03061 |
| Opus 5.5 | $0.00000 | $0.01224 |
| Sonnet 5.5 | $0.00000 | $0.00612 |
| Haiku 4.5 | $0.00000 | $0.00306 |
Grade A, and why
argumentation-engine 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 2mo 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 — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Argumentation Engine
Academic argumentation is not rhetoric — it is the structured, evidence-based demonstration that a claim is well-founded. The choice of argumentation model shapes the structure, tone, and persuasive strategy of the entire paper.
Three Dominant Argumentation Models
| Model | Primary Purpose | Best Used When | Audience |
|---|---|---|---|
| Classical (Aristotelian) | Persuade toward one correct answer | Clear dichotomy exists; issue has a right/wrong | Neutral or open-minded |
| Toulmin | Analyse and justify the logic connecting evidence to claim | Complex, nuanced debates; policy, science, ethics | Expert / Academic |
| Rogerian | Build consensus; find common ground | Highly polarised, emotionally charged topics | Hostile or defensive |
1. The Classical (Aristotelian) Model
The oldest and most universally recognised structure. Works best for issues with a clear correct answer or where one side is clearly stronger.
Structure
- Introduction (Exordium): Hook the reader + provide background + state the thesis clearly
- Narration (Narratio): Provide the factual context the reader needs to understand the debate and its stakes
- Confirmation (Confirmatio): Core body — logical points supported directly by evidence, presented from strongest to weakest (or weakest to strongest)
- Refutation (Refutatio): Anticipate and systematically dismantle the strongest counterarguments
- Conclusion (Peroratio): Restate thesis (reworded) + reinforce the position + call to action or broader implication
The Three Aristotelian Appeals
- Logos — Appeal to logic and evidence (most important in academic writing)
- Ethos — Appeal to credibility and authority (citing established scholars, demonstrating expertise)
- Pathos — Appeal to emotion (used sparingly in academic writing; more prominent in policy or advocacy writing)
2. The Toulmin Model
Developed by philosopher Stephen Toulmin. The most analytically rigorous model — it makes explicit the logical chain that connects evidence to conclusion. Ideal for academic papers where assumptions must be surfaced and justified.
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.
- 2mo ago First seen · 252 lines · 0 tokens per session scan A 7c3ad8e743de
argumentation-engine is a skill published in the GitHub repository muhammad1438/academic-writer-skills (7 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,061 tokens. 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.
argumentation-engine compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| argumentation-enginemuhammad1438/academic-writer-skills | Skill | 7 | 7mo ago | MIT | A | 0 | Claude Code |
| audityha9806/academic-writing-toolkit | Skill | 54 | 10d ago | MIT | A | 40 | Claude Code |
| thesis-controlyha9806/academic-writing-toolkit | Skill | 54 | 10d ago | MIT | A | 57 | Claude Code |
| argument-governanceyha9806/academic-writing-toolkit | Skill | 54 | 10d ago | MIT | A | 143 | Claude Code |
| manuscript-reframeyha9806/academic-writing-toolkit | Skill | 54 | 10d ago | MIT | A | 53 | Claude Code |
| readersyha9806/academic-writing-toolkit | Skill | 54 | 10d ago | MIT | A | 49 | Claude Code |
| self-reviewyha9806/academic-writing-toolkit | Skill | 54 | 10d ago | MIT | A | 69 | Claude Code |