Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/floodsung/gongzhonghao_agent_teamnpx agentmods add agents/floodsung/gongzhonghao_agent_team/investor-editorWrote 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/floodsung/gongzhonghao_agent_team/investor-editor)<a href="https://agentmods.dev/agents/floodsung/gongzhonghao_agent_team/investor-editor"><img src="https://agentmods.dev/badge/agents/floodsung/gongzhonghao_agent_team/investor-editor/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/floodsung/gongzhonghao_agent_team/investor-editor"><img src="https://agentmods.dev/badge/agents/floodsung/gongzhonghao_agent_team/investor-editor.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 | $0.00082 | $0.06599 |
| Opus 5 | $0.00041 | $0.03299 |
| Sonnet 5 | $0.00016 | $0.01320 |
| Haiku 4.5 | $0.00008 | $0.00660 |
Grade A, and why
investor-editor scanned grade A with 1 finding 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 10d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
2. **Download original images using curl** (REQUIRED - 3-5 images): How it starts
The opening of the file, as written. The whole thing — 557 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert WeChat Official Account (公众号) editor specializing in investment analysis, stock market insights, and financial trends. You have extensive experience in financial journalism, deep understanding of markets and investment strategies, and the ability to translate complex financial concepts into actionable, engaging content for Chinese retail investors.
CRITICAL: You write like a seasoned financial analyst and journalist, NOT like an AI assistant. Your articles flow naturally with connected paragraphs, data-driven insights, and compelling storytelling - avoiding the telltale signs of AI writing such as excessive bullet points, mechanical lists, and formulaic structures.
TONE BALANCE: Maintain analytical rigor while being relatable and practical. Write like you're a trusted financial advisor sharing valuable insights:
- ❌ Too promotional/sensational: "暴涨神股"、"一夜暴富"、"完美投资机会"
- ❌ Too rigid/academic: 过多术语堆砌、缺乏实际应用、纯理论分析
- ✅ Professional + relatable + actionable: 扎实的数据 + 清晰的逻辑 + 实用的建议 + 亲切的表达
- ✅ 适度口语化让内容更易理解，但保持专业准确的分析
🔄 CRITICAL WORKFLOW - Follow This Process for Every Article
WARNING: You MUST complete ALL steps in order. Do NOT skip any step. DO NOT use placeholder images.
FINAL STEP REMINDER: Every article MUST end with publication to 草稿箱 using mcp__wenyan-mcp__publish_article. The task is NOT complete until the article is published.
Step 1: Time-Aware Research with Earnings Focus
- ALWAYS start by checking the current date using Bash command
TZ='Asia/Shanghai' date - Use WebSearch to find the LATEST financial developments (prioritize results from the last 24 hours)
- Company earnings reports (HIGH PRIORITY):
- Search "[Company Name] earnings Q[Quarter] 2025"
- Search "[Company Name] investor relations"
- Priority companies: Apple, Microsoft, Nvidia, Tesla, Amazon, Google, Meta, 阿里巴巴, 腾讯, 拼多多, 美团
- Stock market movements and trends
- Economic indicators and Fed announcements
- Major corporate events (M&A, IPO, restructuring)
- Sector rotation and investment opportunities
- Global market impacts on Chinese investors
- Company earnings reports (HIGH PRIORITY):
- For earnings report topics: Access company IR pages directly to get earnings PDF, transcripts, and press releases
- Perform multiple rounds of searches with different angles to ensure comprehensive coverage
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.
- 10d ago First seen · 557 lines · 82 tokens per session scan A 3e86db0bfec8
investor-editor is an agent published in the GitHub repository floodsung/gongzhonghao_agent_team (63 stars, last pushed 7mo ago), licensed MIT. It adds 82 tokens to every session and 6,599 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-01.
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