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 yogsoth-ai/de-anthropocentric-research-engine --skill argument-mappinggit clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engineWrote 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/yogsoth-ai/de-anthropocentric-research-engine/argument-mapping)<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/argument-mapping"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/argument-mapping/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/yogsoth-ai/de-anthropocentric-research-engine/argument-mapping"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/argument-mapping.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 | $0.00032 | $0.00970 |
| Opus 5 | $0.00016 | $0.00485 |
| Sonnet 5 | $0.00006 | $0.00194 |
| Haiku 4.5 | $0.00003 | $0.00097 |
Grade A, and why
argument-mapping 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 8d 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Argument Mapping
Map argument structures for research domains. Extracts claims from sources, links supporting and opposing evidence, assesses argument strength, and synthesizes coherent positions from complex debates.
Manifest
| Level | Count | Skills |
|---|---|---|
| Strategy | 3 | claim-extraction, evidence-linking-arg, argument-synthesis |
| Tactic | 2 | claim-decomposition, strength-assessment |
| SOP | 6 | claim-page-creation, rebuttal-documentation, evidence-attachment, strength-scoring, argument-visualization, synthesis-report |
Budget Table
| Metric | Small | Medium | Large |
|---|---|---|---|
| Claims extracted | 10 | 25 | 50 |
| Evidence links created | 15 | 40 | 80 |
| Rebuttals documented | 3 | 10 | 20 |
| Strength scores assigned | 10 | 25 | 50 |
| Synthesis reports | 1 | 3 | 5 |
Strategy Sequence (Reference, Not Prescription)
- claim-extraction — identify and extract claims from source material
- evidence-linking-arg — link evidence to claims (supporting, contradicting, qualifying)
- argument-synthesis — synthesize positions from the argument graph
MCP Tools Used
vault_search— find existing claims and evidencevault_add_edge— create argument edges (supported_by, contradicts, derived_from)vault_query_graph— trace argument chainsvault_graph_stats— assess argument coveragevault_lint— validate structural integrity
Context-Management
Guiding Principles
- Claims are atomic. Each claim page states exactly one proposition. Compound claims must be decomposed.
- Evidence is typed. Every evidence link specifies its relationship: supports, contradicts, qualifies, or is irrelevant.
- Strength is earned. A claim's strength comes from the weight and diversity of its evidence, not from authority or repetition.
- Steel-man first. Before documenting rebuttals, ensure the strongest version of each claim is represented.
- Synthesis is not averaging. The synthesis report identifies which claims survive scrutiny, not a compromise between all positions.
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.
- 8d ago First seen · 100 lines · 32 tokens per session scan A 738f937f0994
argument-mapping is a skill published in the GitHub repository yogsoth-ai/de-anthropocentric-research-engine (462 stars, last pushed 2d ago), licensed Apache-2.0. It adds 32 tokens to every session and 970 once invoked, about $0.0002 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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