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 yqi96/warranted --skill academic-writinggit clone --depth 1 https://github.com/yqi96/warrantedWrote 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/yqi96/warranted/academic-writing)<a href="https://agentmods.dev/skills/yqi96/warranted/academic-writing"><img src="https://agentmods.dev/badge/skills/yqi96/warranted/academic-writing/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/yqi96/warranted/academic-writing"><img src="https://agentmods.dev/badge/skills/yqi96/warranted/academic-writing.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 | $0.00044 | $0.00709 |
| Opus 5 | $0.00022 | $0.00354 |
| Sonnet 5 | $0.00009 | $0.00142 |
| Haiku 4.5 | $0.00004 | $0.00071 |
Grade A, and why
academic-writing 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Load Required References
Use this skill as the manuscript-writing umbrella. Before drafting or revising a manuscript section, read the relevant reference file(s):
references/introduction-related-work.mdfor Introduction, Background, Related Work, literature review, and literature-heavy Discussion passages.references/results.mdfor Results text, figure/table-linked result paragraphs, captions that state findings, and source-data references.references/discussion.mdfor Discussion, Conclusion, limitations, implications, and mixed literature/result synthesis.references/methods-statistics.mdfor Methods, Statistical Analysis, reproducibility, protocol, and analysis-authority prose.
Apply literature-writing whenever a passage uses published papers as evidence. literature-writing governs the literature evidence channel inside academic writing; this umbrella governs manuscript-level projection and cross-section consistency.
Graph Translation Contract
Write the manuscript as a projection of the graph, not as a parallel argument.
Every load-bearing paragraph must have one paragraph Claim. A paragraph Claim may be new, reused, or revised, but it must be explicit before finalizing the paragraph. Transitional, roadmap, and signposting paragraphs do not need Claims; they must not introduce external facts, result interpretations, or synthesis claims.
Use this projection map:
| Manuscript unit | Graph source |
|---|---|
| Section thesis | section-level Claim, usually supported by paragraph Claims used as Grounds (pass each paragraph Claim's id into the Warrant's ground_ids) |
| Paragraph thesis | Claim |
| Reported paper finding | source="literature" Ground + \cite{statement_N} |
| This-study result | source="observed" Ground + figure/table/source-data/method artifact |
| Reason why evidence matters | Warrant prose |
| Method/statistical authority | Backing or Methods/Statistics text linked to the Warrant it supports |
| Limitation, disagreement, boundary condition | Rebuttal |
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 61 lines · 44 tokens per session scan A b706ecb6a1cb
academic-writing is a skill published in the GitHub repository yqi96/warranted (2 stars, last pushed 7d ago), licensed MIT. It adds 44 tokens to every session and 709 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 2026-08-31.
Other skills, from other repositories
proof-checker
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auto-paper-improvement-loop
An automated editing cycle for a compiled research paper: an external language model reviews it, fixes are applied, and the paper is compiled again.
paper-write
A workflow for writing a research paper section by section in LaTeX, a text format used to prepare structured technical documents. It starts from a paper outline and supports several academic venues and citation sources.
research-lit
Search and analyze research papers, find related work, summarize key ideas. Use when user says "find papers", "related work", "literature review", "what does this paper say", or needs to understand academic papers.
paper-illustration
A workflow for generating academic illustrations, such as architecture diagrams and method visuals, with image generation and repeated review. Claude plans and checks the figure during the process.
experiment-bridge
A workflow that turns an experiment plan into code, reviews the code, runs an initial check, deploys experiments, and collects early results. Deployment means sending the experiment to the environment where it will run, such as a GPU machine.