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 agentmods add commands/godisego/hot-money/screengit 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/screen)<a href="https://agentmods.dev/commands/godisego/hot-money/screen"><img src="https://agentmods.dev/badge/commands/godisego/hot-money/screen.svg" alt="Measured on agentmods" 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 | $0.00025 | $0.00324 |
| Opus 5 | $0.00013 | $0.00162 |
| Sonnet 5 | $0.00005 | $0.00065 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
screen 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 5d 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 screen — 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
/screen <股票代码> [style=quality]
对目标股票跑 5 种经典 quant screen：
| Style | 核心标准 |
|---|---|
value |
PE<15 · PB<1.5 · 股息率>3% · FCF>0 · 负债率<50% |
growth |
营收增速>15% · 净利增速>20% · 毛利扩张 · ROE>15% |
quality |
ROE 5Y>15% · 净利率>15% · FCF+ · 债务<50% · 护城河≥28 |
gulp |
PEG<1.5 · 营收>15% · ROE>15% · Stage 2 |
short |
PE>60 · 营收下滑 · ROE<5% · 债务>70% |
工作流
from lib.research_workflow import run_idea_screen
result = run_idea_screen(features, style="quality")
输出
- 每条标准 pass / fail 列表
passed / total命中率pass_rate_pct ≥ 70%→ 🟢 命中筛选fits_screen布尔标记
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.
- 5d ago First seen · 31 lines · 25 tokens per session scan A cf4f7be6b4f6
screen is a command published in the GitHub repository godisego/hot-money (2 stars, last pushed 4mo ago), licensed MIT. It adds 25 tokens to every session and 324 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 screen, differing in 0 lines, and is treated as a copy.
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archive-ledger
../../../shared/commands/archive-ledger.md.
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