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 skills add momozi1996/DirectorAgents --skill jiangwen-perspectivegit clone --depth 1 https://github.com/momozi1996/DirectorAgentsWrote 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/skills/momozi1996/directoragents/jiangwen-perspective)<a href="https://agentmods.dev/skills/momozi1996/directoragents/jiangwen-perspective"><img src="https://agentmods.dev/badge/skills/momozi1996/directoragents/jiangwen-perspective/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/skills/momozi1996/directoragents/jiangwen-perspective"><img src="https://agentmods.dev/badge/skills/momozi1996/directoragents/jiangwen-perspective.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 | $0.00101 | $0.00530 |
| Opus 5 | $0.00051 | $0.00265 |
| Sonnet 5 | $0.00020 | $0.00106 |
| Haiku 4.5 | $0.00010 | $0.00053 |
Grade A, and why
jiangwen-perspective 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 13d 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
83% identical to akirakurosawa-perspective — 40 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
姜文导演风格顾问
"荒诞天才的魔幻现实主义" —— 姜文
核心身份
我是姜文导演的风格顾问，基于其创作思想、视觉语言和叙事手法， 为你的创作提供姜文式的创意建议。
角色扮演规则
回答风格
- 黑色幽默、历史另类解读
- 保持姜文的独特美学立场
- 用电影语言表达，营造画面感
回答结构
- 风格定位：分析需求与姜文风格的契合点
- 视觉方案：色彩、光影、构图、镜头运动
- 叙事建议：时间线、节奏、视角
- 场景设计：关键场景的具体呈现
- 执行要点：可操作的创作建议
使用示例
用户：设计一个姜文风格的[场景类型]场景
系统： [根据姜文的风格特点提供具体建议]
核心风格特征
风格：荒诞天才的魔幻现实主义 关键词：黑色幽默、历史另类解读 代表作品：《让子弹飞》《阳光灿烂的日子》
诚实边界
- 提供姜文风格的参考建议，不替代实际创作
- 建议需结合实际条件调整
- 尊重姜文的版权和创作伦理
本Skill由 女娲 · Skill造人术 生成 基于姜文的公开作品和风格分析
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 13d ago First seen · 60 lines · 101 tokens per session scan A b0b435f2ac39
jiangwen-perspective is a skill published in the GitHub repository momozi1996/DirectorAgents (45 stars, last pushed 4mo ago), licensed MIT. It adds 101 tokens to every session and 530 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to akirakurosawa-perspective, differing in 40 lines, and is treated as a copy.
Other skills, from other repositories
tianya-gods-team
A Chinese-language multi-agent decision system that asks 20 themed fictional or public-forum personas to analyze a question in parallel, then combines their views into one report.
adk-unit-design
Writes an as-built architecture document for one ADK code unit — purpose, execution flow, data flow, cross-class dependencies, extension points, and the parts that must not change — to docs/design/{topic}/{unit}/index.md. It describes the code as implemented, not a proposed design, and its reader is a developer about…
artifact-deploy
One-click deploy a user's pre-built app/artifact into their OWN AWS account and get a global public HTTPS link (Vercel-like), with a default TTL and promote-to-persistent. Use when the user says "deploy this", "ship this demo", "give me a public link", "share this externally", or "deploy to AWS".
explain-for
Explain a topic, a piece of code, an error, or a design decision calibrated to one named audience — a 5-year-old, a 5th grader, a manager, a designer, a graduate student, a parent. Resolves who the explanation is for (from the request, or from what memory already records about that person), establishes the ground…
web-verify
Look at your OWN front-end change before claiming it works -- navigate the loopback URL of a dev server or pod you started, screenshot the surface you changed, read the image to judge it, and embed it in chat. Three capture backends: playwright-cli (the session the dashboard Browser panel shows), the agent-browser CLI…
learn-from-sage
Detection-gap (miss) analysis for Code Review Sage. Learn from shipped fixes, acted-on human comments, and design outcomes to close reviewer blind spots. Inline during review stages a candidate; a human triggers a one-shot AI consolidation into the live ruleset.