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 argumentative-zoninggit 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/argumentative-zoning)<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/argumentative-zoning"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/argumentative-zoning/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/argumentative-zoning"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/argumentative-zoning.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 | $0.00035 | $0.00330 |
| Opus 5 | $0.00017 | $0.00165 |
| Sonnet 5 | $0.00007 | $0.00066 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
argumentative-zoning 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.
What it actually says
Argumentative Zoning
Orchestration Pattern
- Fetch the paper; stop on
not_found. - Segment the requested scope with sentence granularity and preserve
{line, start, end}offsets. Write01-unit-segmentation.json. - Classify every unit with
label_set: argumentative-zoning,hierarchy_toggle: false, andoutput_type: single_label. Write02-unit-classification.json.
Use exactly AIM, BACKGROUND, OWN, CONTRAST, BASIS, TEXTUAL, and OTHER. Every sentence receives one label; use OTHER rather than skipping an uncertain unit. Narrow scopes are valid but not distributionally comparable to a full-text run.
Report scope, sentence count, zone counts, empty zones, and both paths.
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 · 38 lines · 35 tokens per session scan A cb50cae236cf
argumentative-zoning 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 35 tokens to every session and 330 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 2026-08-30.
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