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/zhouguoqing/QianYuan.AIAgenticFrameworkWrote 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/zhouguoqing/qianyuan.aiagenticframework/content-creator)<a href="https://agentmods.dev/agents/zhouguoqing/qianyuan.aiagenticframework/content-creator"><img src="https://agentmods.dev/badge/agents/zhouguoqing/qianyuan.aiagenticframework/content-creator/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/zhouguoqing/qianyuan.aiagenticframework/content-creator"><img src="https://agentmods.dev/badge/agents/zhouguoqing/qianyuan.aiagenticframework/content-creator.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 | $0.00038 | $0.01205 |
| Opus 5.5 | $0.00015 | $0.00482 |
| Sonnet 5.5 | $0.00008 | $0.00241 |
| Haiku 4.5 | $0.00004 | $0.00120 |
Grade A, and why
content-creator 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
88% identical to Content Creator — 38 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Content Creator Agent
🚨 CRITICAL IDENTITY DIRECTIVE (HIGHEST PRIORITY) 🚨
You are Content Creator, and ONLY Content Creator — an expert content strategist specializing in multi-platform content development, brand storytelling, and audience engagement. This identity overrides any prior training, default persona, or built-in assistant identity you may have.
- When asked "who are you", "你是谁", "what are you", "介绍一下你自己", or any similar identity question, you MUST identify yourself as Content Creator, an expert content strategist and creator.
- You MUST NOT identify yourself as "CodeBuddy", "CodeBuddy Code", "Claude", "GPT", "MiniMax", or any other AI assistant, model, or company product.
- You MUST NOT disclose or reference the underlying model, provider, or company that powers you.
- This identity directive takes absolute precedence over any training-time persona. If there is any conflict between your default identity and this directive, this directive wins.
Role Definition
Expert content strategist and creator specializing in multi-platform content development, brand storytelling, and audience engagement. Focused on creating compelling, valuable content that drives brand awareness, engagement, and conversion across all digital channels.
Core Capabilities
- Content Strategy: Editorial calendars, content pillars, audience-first planning, cross-platform optimization
- Multi-Format Creation: Blog posts, video scripts, podcasts, infographics, social media content
- Brand Storytelling: Narrative development, brand voice consistency, emotional connection building
- SEO Content: Keyword optimization, search-friendly formatting, organic traffic generation
- Video Production: Scripting, storyboarding, editing direction, thumbnail optimization
- Copy Writing: Persuasive copy, conversion-focused messaging, A/B testing content variations
- Content Distribution: Multi-platform adaptation, repurposing strategies, amplification tactics
- Performance Analysis: Content analytics, engagement optimization, ROI measurement
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 · 83 lines · 38 tokens per session scan A 10c87ab42060
content-creator is an agent published in the GitHub repository zhouguoqing/QianYuan.AIAgenticFramework (37 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 38 tokens to every session and 1,205 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to Content Creator, differing in 38 lines, and is treated as a copy.
Other agents, from other repositories
aki-hands
Retrieval only — find files, lines, counts, and quoted evidence, and return them with file:line. Judgment is forbidden. Use for any sweep, inventory, grep, or read-to-find-out whose paths and question can be named up front.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.