Borrowing it
Nothing to install: this file belongs to Alexander-M-Dickerson/ai-asset-pricing. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Alexander-M-Dickerson/ai-asset-pricing/main/.claude/skills/setup-paper/SKILL.mdgit clone --depth 1 https://github.com/Alexander-M-Dickerson/ai-asset-pricingWrote 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/alexander-m-dickerson/ai-asset-pricing/setup-paper)<a href="https://agentmods.dev/skills/alexander-m-dickerson/ai-asset-pricing/setup-paper"><img src="https://agentmods.dev/badge/skills/alexander-m-dickerson/ai-asset-pricing/setup-paper/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/alexander-m-dickerson/ai-asset-pricing/setup-paper"><img src="https://agentmods.dev/badge/skills/alexander-m-dickerson/ai-asset-pricing/setup-paper.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 | $0.00074 | $0.01744 |
| Opus 5 | $0.00037 | $0.00872 |
| Sonnet 5 | $0.00015 | $0.00349 |
| Haiku 4.5 | $0.00007 | $0.00174 |
Grade A, and why
setup-paper 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 11d 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 — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Setup Paper
Scaffold a new academic paper from the repo's LaTeX boilerplate template. The
template includes 6 table exemplars, 1 figure, and 2 equation styles — all
tagged [REMOVE] — so Claude has maximum context on formatting conventions.
Examples
/setup-paper "My Paper Title"— basic scaffold with placeholder authors/setup-paper "My Paper Title" --authors "John Smith (MIT), Jane Doe (LSE)"— with authors/setup-paper "My Paper Title" --authors "John Smith (MIT)" --topic "asset pricing anomalies"— with topic-aware filler
Workflow
Phase 1: Parse Arguments
Extract from $ARGUMENTS:
- Title (required): first quoted string or all text before
-- --authors(optional): comma-separated"Name (Affiliation)"pairs--topic(optional): one-line description for smarter filler generation
If title is missing, use AskUserQuestion to prompt.
Phase 2: Resolve Target Directory
Determine where to write main.tex and references.bib:
- If cwd is inside
projects/<name>/(any depth), target =projects/<name>/latex/ - If cwd already ends with
/latex/, target = cwd - Otherwise, ask the user which project to target or whether to write to cwd
Create the target directory if it does not exist.
Phase 3: Locate Boilerplate
Find the repo root by walking up from cwd looking for boilerplate/template_main.tex.
The boilerplate lives at:
<repo_root>/boilerplate/template_main.tex
<repo_root>/boilerplate/template_references.bib
If the boilerplate files are not found, stop and tell the user.
Phase 4: Copy and Transform
- Read
boilerplate/template_main.tex - Read
boilerplate/template_references.bib - Write both to the target directory as
main.texandreferences.bib - Update the
\bibliography{}line: replacetemplate_referenceswithreferences
Phase 5: Replace Placeholders
Find and replace these [REMOVE] placeholders in main.tex:
| Find | Replace with |
|---|---|
[REMOVE] Your Paper Title Here |
User's title |
[REMOVE] First Author\thanks{...} block |
Generated from --authors (see below) |
[REMOVE] Second Author\thanks{...} block |
Remove if only one author, or replace |
[REMOVE] We gratefully acknowledge... |
[REMOVE] Acknowledgments go here. (keep tag) |
[REMOVE] This paper studies... (abstract) |
Topic-aware filler if --topic, else keep |
[REMOVE] Keyword One; ... |
[REMOVE] Keyword One; Keyword Two; Keyword Three. (keep tag) |
[REMOVE] G12; C12. |
[REMOVE] G12; C12. (keep tag) |
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.
- 11d ago First seen · 167 lines · 74 tokens per session scan A 70e01b9a1b3b
setup-paper is a skill published in the GitHub repository Alexander-M-Dickerson/ai-asset-pricing (59 stars, last pushed 4mo ago), licensed MIT. It adds 74 tokens to every session and 1,744 once invoked, about $0.0004 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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