القائمة
Generate dynamic portfolio screenshots, stock-analysis infographics, or general-style images. Real data must be fetched first
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/B-M-Capital-Research/honeclaw --skill image-generationيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Use in the honeclaw repository when Codex needs to validate event-engine notification quality changes, run the event-engine/core/web-api regression subset, rerun the saved news classifier baseline against OpenRouter models, or add new real-news samples to the baseline fixture without overfitting.
Use in the honeclaw repository when Codex needs to review event-engine push quality for one or more actors: what each user/channel received, whether push timing and digest grouping were reasonable, whether messages were duplicated or useless, and whether useful events were filtered, omitted, capped, cooled down, or left undelivered.
基于 HONE 已授权的历史演讲与研究文件所形成的公司研究卡，回答覆盖美股公司的基本面、商业模式、护城河、估值框架、风险、证伪条件与每日评分。用户询问覆盖公司的投资逻辑、公司质量、护城河、当前估值、财报变化、红黄绿灯、评分原因或多公司比较时必须优先使用；历史研究只作为判断基线，最新行情、财报、新闻、订单和估值输入必须继续通过当前证据工具核验。
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | Image Generation |
| description | Generate dynamic portfolio screenshots, stock-analysis infographics, or general-style images. Real data must be fetched first |
| tools | ["image_gen","portfolio","data_fetch","web_search"] |
Three image types are supported. The portfolio_snapshot and stock_analysis types must use real data before generation.
portfolio_snapshot)Fetch the portfolio first, organize the data, and then generate the image:
portfolio(action="get")
-> organize the data (company name, ticker, price, percent change, shares, and so on)
-> image_gen(image_type="portfolio_snapshot", content="AAPL Apple $189.50 +1.2%\nTSLA Tesla $245.30 -0.8%\n...")
stock_analysis)Fetch the stock data first, organize it, and then generate an infographic:
data_fetch(data_type="snapshot", symbol="ticker")
-> optionally use web_search to gather moat, competitive advantage, and similar context
-> image_gen(image_type="stock_analysis", content="Company: NVIDIA NVDA\nMarket cap: 3.2T\nPE: 65x\nMoat: CUDA ecosystem + AI training dominance\n...")
general)Generate directly from the user's description:
image_gen(image_type="general", prompt="A futuristic image showing the global financial market")
portfolio_snapshot and stock_analysis must fetch real data first, and the content must include detailed, concrete numbersprompt parameter to specify extra visual style preferences