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/godisego/hot-moneyWrote 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/godisego/hot-money/initiate)<a href="https://agentmods.dev/commands/godisego/hot-money/initiate"><img src="https://agentmods.dev/badge/commands/godisego/hot-money/initiate/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/godisego/hot-money/initiate"><img src="https://agentmods.dev/badge/commands/godisego/hot-money/initiate.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 | $0.00026 | $0.00325 |
| Opus 5 | $0.00013 | $0.00162 |
| Sonnet 5 | $0.00005 | $0.00065 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
initiate 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.
This is a copy
100% identical to initiate — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
/initiate <股票代码>
按照 JPMorgan / Goldman / Morgan Stanley 首次覆盖报告格式，生成一份完整的 initiating coverage。
工作流
- 全量采集（
run_real_test.py <ticker>） - 计算 DCF + Comps (dim 20)
- 调用：
from lib.research_workflow import build_initiating_coverage report = build_initiating_coverage(features, raw, dcf, comps) - 输出六个标准章节：
- I. Executive Summary — 推荐评级 / 目标价 / 空间 %
- II. Investment Thesis — 3-5 条核心看多支柱
- III. Valuation Bridge — DCF + Comps + Blended
- IV. Key Risks — 5 条风险 + 严重度
- V. Financial Snapshot — 5 年历史 ROE/营收/净利
- VI. Coverage Universe Positioning — 分析师覆盖密度
评级规则
- Upside ≥ 25% → 买入 (Overweight)
- 10-25% → 增持 (Outperform)
- -10-10% → 持有 (Neutral)
- < -10% → 减持 (Underperform)
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 · 33 lines · 26 tokens per session scan A 03aa147e31e4
initiate is a command published in the GitHub repository godisego/hot-money (2 stars, last pushed 4mo ago), licensed MIT. It adds 26 tokens to every session and 325 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to initiate, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
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Valuation methods analysis — multiples, DCF inputs, PEG integration, valuation assumption extraction.
merit-reconcile
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audit-checklist
Perform an internal audit, review controls, or prepare for an external financial audit.
scan
Scan AWS account for cost optimization.
audit
Scan for non-kernel money math. Rebuild critical flows as JournalEntrys. Replay and prove. Complements /ledger-verify.
finops-status
Orientation — say where an opportunity or assignment sits in the five-step FinOps lifecycle and what unlocks next. Useful when a record has no active stage: an opportunity while its assignments do the work, an assignment whose plan has not been approved yet, or a rejected or archived assignment. Read-only; mutates…