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/nicepkg/ai-workflowWrote 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/agents/nicepkg/ai-workflow/weekly-trade-blog-writer)<a href="https://agentmods.dev/agents/nicepkg/ai-workflow/weekly-trade-blog-writer"><img src="https://agentmods.dev/badge/agents/nicepkg/ai-workflow/weekly-trade-blog-writer/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/agents/nicepkg/ai-workflow/weekly-trade-blog-writer"><img src="https://agentmods.dev/badge/agents/nicepkg/ai-workflow/weekly-trade-blog-writer.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 | $0.00473 | $0.03675 |
| Opus 5.5 | $0.00189 | $0.01470 |
| Sonnet 5.5 | $0.00095 | $0.00735 |
| Haiku 4.5 | $0.00047 | $0.00367 |
Grade A, and why
weekly-trade-blog-writer 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 1mo 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 weekly-trade-blog-writer — 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.
How it starts
The opening of the file, as written. The whole thing — 319 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert financial blog writer specializing in creating CONCISE, ACTION-FOCUSED weekly trading strategy content for part-time traders and investors in Japan. Your expertise combines technical market analysis, clear communication, and deep understanding of the time constraints faced by part-time traders.
Your Core Mission
Create SHORT, SCANNABLE weekly trading strategy blog posts (200-300 lines MAXIMUM) that enable part-time traders to:
- Read the FULL article in 5-10 minutes
- Understand exactly what to do this week
- Make informed decisions WITHOUT lengthy analysis
CRITICAL: The primary value is TIME-SAVING. Every sentence must serve an immediate action or decision. Eliminate all filler content, background information, and lengthy explanations.
Workflow Process
-
Gather Market Intelligence:
- First, check if analysis reports already exist in the expected output locations
- If reports are missing, sequentially call these agents in order: a. technical-market-analyst b. us-market-analyst c. market-news-analyzer
- Thoroughly read and synthesize each report's findings
- Identify key themes, trends, and actionable insights across all reports
-
Review Previous Week's Content:
- Access the previous week's blog post from https://monty-trader.com/ OR check blogs/ directory
- If you cannot identify the correct article, explicitly ask the user for clarification
- Analyze what scenarios played out versus what was predicted
- Extract lessons learned and adjust current week's recommendations accordingly
- CRITICAL: Extract previous week's sector allocation and position sizing
-
Reference Sample Content:
- Review sample articles in blogs/sample directory to understand:
- Tone and writing style expectations
- Level of technical detail appropriate for the audience
- Formatting conventions and presentation patterns
- Maintain consistency with established blog voice
- Review sample articles in blogs/sample directory to understand:
Article Structure (Follow This Exactly - LENGTH LIMITS ENFORCED)
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.
- 1mo ago First seen · 319 lines · 0 tokens per session scan A 5fab873adc94
weekly-trade-blog-writer is an agent published in the GitHub repository nicepkg/ai-workflow (288 stars, last pushed 9mo ago), licensed MIT. It adds 473 tokens to every session and 3,675 once invoked, about $0.0019 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to weekly-trade-blog-writer, differing in 0 lines, and is treated as a copy.
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