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 xjtulyc/awesome-rosetta-skills --skill argument-mappinggit clone --depth 1 https://github.com/xjtulyc/awesome-rosetta-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/xjtulyc/awesome-rosetta-skills/argument-mapping)<a href="https://agentmods.dev/skills/xjtulyc/awesome-rosetta-skills/argument-mapping"><img src="https://agentmods.dev/badge/skills/xjtulyc/awesome-rosetta-skills/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/xjtulyc/awesome-rosetta-skills/argument-mapping"><img src="https://agentmods.dev/badge/skills/xjtulyc/awesome-rosetta-skills/argument-mapping.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 | $0.00037 | $0.05542 |
| Opus 5 | $0.00018 | $0.02771 |
| Sonnet 5 | $0.00007 | $0.01108 |
| Haiku 4.5 | $0.00004 | $0.00554 |
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 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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 · 705 lines · 37 tokens per session scan A 9a8c11bf7b91
argument-mapping is a skill published in the GitHub repository xjtulyc/awesome-rosetta-skills (34 stars, last pushed 5mo ago), with no licence file. It adds 37 tokens to every session and 5,542 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.
Other skills, from other repositories
literature-survey
Use when surveying literature at scale — dozens to hundreds of papers — to build a taxonomy, locate a gap, establish a trend, or screen a large candidate pool. Not for prose; hand off to literature-writing for the write-up.
auto-research
Use for open-ended autonomous research where you must generate the research questions and Claims yourself from provided data and reference material. Route the goal through a Framing step, propose falsifiable Claims, produce observed Grounds from the data and literature Grounds from the references, actively seek…
cite-review
Use when citations in a LaTeX manuscript need checking against what the cited papers actually say — prose that may overstate, understate, or mischaracterise a source. Not for writing new prose or creating citations; that is literature-writing.
literature-writing
Use when writing or revising LaTeX prose that cites published papers — related work, introductions, discussions, or the write-up phase of a survey. Translate citable propositions into verified literature Grounds and cite them as \cite{statementN}.
paper-reproduce
Use when reproducing a published paper, or judging whether its Claims hold under independent execution — including a run that disagrees with the paper, or one that appears blocked. Not for testing a hypothesis of your own.
academic-writing
Use when drafting or revising manuscript text that must project graph-backed scientific arguments into paper prose across Introduction, Related Work, Results, Discussion, Methods, figures, tables, source data, and citation handles.