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 csmar432/finai-research --skill fin-paper-plangit clone --depth 1 https://github.com/csmar432/finai-researchWrote 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/csmar432/finai-research/fin-paper-plan)<a href="https://agentmods.dev/skills/csmar432/finai-research/fin-paper-plan"><img src="https://agentmods.dev/badge/skills/csmar432/finai-research/fin-paper-plan/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/csmar432/finai-research/fin-paper-plan"><img src="https://agentmods.dev/badge/skills/csmar432/finai-research/fin-paper-plan.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 | $0.00008 | $0.09166 |
| Opus 5 | $0.00004 | $0.04583 |
| Sonnet 5 | $0.00002 | $0.01833 |
| Haiku 4.5 | $0.00001 | $0.00917 |
Grade A, and why
fin-paper-plan 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.
How it starts
The opening of the file, as written. The whole thing — 894 lines — stays where its author put it; the contents beside it link to each section on GitHub.
fin-paper-plan
Generate a structured academic paper outline adapted to the target journal, including chapter word count targets, figure plan, and table plan.
Step 0: Read Input Files
First, read any existing research briefs to extract the target journal and research type:
# Check for existing research files
ls -la output/fin-brief/
ls -la output/fin-ideas/
Read FIN_BRIEF.md (if exists) to extract:
target_journal: 经济研究 / 金融研究 / 管理世界 / JF / JFE / RFS / JAE / etc.language: zh / enresearch_type: empirical / theoretical / empirical+theorymain_method: DID / IV / RDD / PSM / Panel GMM / etc.
import os
from pathlib import Path
brief_path = Path("output/fin-brief/FIN_BRIEF.md")
if brief_path.exists():
content = brief_path.read_text()
# Extract key fields with regex or simple parsing
# target_journal = extract_field(content, "target_journal")
# language = extract_field(content, "language")
Step 1: Select Journal Template
Map the target journal to its formatting requirements:
| Journal | Format | Language | Word Count | Style |
|---|---|---|---|---|
| 经济研究 | CTeX / LaTeX | 中文 | 10,000–15,000字 | Hypothesis-driven, CTeX |
| 金融研究 | CTeX / LaTeX | 中文 | 10,000–15,000字 | Empirical-focused, CTeX |
| 管理世界 | CTeX / LaTeX | 中文 | 8,000–12,000字 | Policy implications emphasized |
| 中国工业经济 | CTeX / LaTeX | 中文 | 10,000–15,000字 | Empirical + Policy |
| 会计研究 | CTeX / LaTeX | 中文 | 10,000–15,000字 | Empirical |
| 世界经济 | CTeX / LaTeX | 中文 | 10,000–15,000字 | Theory + Empirical |
| JF (Journal of Finance) | AEA LaTeX | English | 12,000–20,000 words | AEA style |
| JFE (Journal of Financial Economics) | JFE LaTeX | English | 12,000–20,000 words | JFE style |
| RFS (Review of Financial Studies) | RFS LaTeX | English | 12,000–20,000 words | RFS style |
| JAE (Journal of Accounting and Economics) | AEA LaTeX | English | 10,000–15,000 words | AEA style |
| JPE (Journal of Political Economy) | Chicago LaTeX | English | 12,000–20,000 words | Chicago |
| Econometrica | LaTeX | English | 12,000–20,000 words | Econometrica |
| AER (American Economic Review) | AEA LaTeX | English | 12,000–20,000 words | AEA style |
| Review of Economics and Statistics | LaTeX | English | 10,000–15,000 words | ReStud style |
| Journal of Development Economics | LaTeX | English | 10,000–15,000 words | JDE style |
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 · 894 lines · 8 tokens per session scan A 82a7c186ed97
fin-paper-plan is a skill published in the GitHub repository csmar432/finai-research (100 stars, last pushed 3d ago), licensed MIT. It adds 8 tokens to every session and 9,166 once invoked, about $0.0000 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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