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.
git 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/commands/csmar432/finai-research/brief)<a href="https://agentmods.dev/commands/csmar432/finai-research/brief"><img src="https://agentmods.dev/badge/commands/csmar432/finai-research/brief/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/commands/csmar432/finai-research/brief"><img src="https://agentmods.dev/badge/commands/csmar432/finai-research/brief.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 | $0.00000 | $0.00182 |
| Opus 5 | $0.00000 | $0.00091 |
| Sonnet 5 | $0.00000 | $0.00036 |
| Haiku 4.5 | $0.00000 | $0.00018 |
Grade A, and why
brief 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.
What it actually says
brief — 生成研究简报
description: 通过交互问卷收集研究需求，生成 FIN_BRIEF.md
arguments
<topic>(可选): 初步研究主题
描述
交互式收集研究需求，生成 FIN_BRIEF.md（研究简报），包含：
- 研究主题和领域
- 目标期刊
- 数据来源
- 研究方法偏好
- 行为控制标志（AUTO_PROCEED / HUMAN_CHECKPOINT 等）
工作方式
- AI Agent 提问，用户逐步回答
- 有
FIN_BRIEF.md时优先读取并确认 - 生成简报后询问是否启动研究流程
示例
/brief
/brief 碳排放权交易对企业创新的影响
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 · 31 lines · 0 tokens per session scan A 407e8057b26b
brief is a command published in the GitHub repository csmar432/finai-research (115 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 182 tokens. 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.
Other commands, from other repositories
credit-review
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source
Source deals — discover companies and draft founder outreach.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.