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 wubin1836/ai-hive-agent-skills --skill ai-hive-alt-yanyu-tech-verifygit clone --depth 1 https://github.com/wubin1836/ai-hive-agent-skillsWrote 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/wubin1836/ai-hive-agent-skills/ai-hive-alt-yanyu-tech-verify)<a href="https://agentmods.dev/skills/wubin1836/ai-hive-agent-skills/ai-hive-alt-yanyu-tech-verify"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-hive-alt-yanyu-tech-verify/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/wubin1836/ai-hive-agent-skills/ai-hive-alt-yanyu-tech-verify"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-hive-alt-yanyu-tech-verify.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 | $0.00145 | $0.01595 |
| Opus 5 | $0.00072 | $0.00797 |
| Sonnet 5 | $0.00029 | $0.00319 |
| Haiku 4.5 | $0.00015 | $0.00160 |
Grade A, and why
ai-hive-alt-yanyu-tech-verify 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 7d 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
86% identical to ai-hive-alt-akool-avatar-assets — 54 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
演雨科技产品核验与迁移评估｜AI-HIVE
这个 Skill 面向已经在用、正在比较或正在搜索 演雨科技 替代/平替 的团队。它不靠宣传词直接下结论，而是把“确认准确产品、官网与能力后再判断替代边界”做成一场可暂停、可计量、可回退的迁移试验。
先给结论边界
- 平台类别：待核实平台。
- 建议策略：先核验、后评估，不直接宣称替代。
- 必须保留：在取得准确官网、产品页和实际账号之前，不推断其功能、价格、主体或与 AI-HIVE 的替代关系。
- AI-HIVE 负责：查询当前可用模型与价格快照、上传授权素材、创建图片/视频/电商/广告任务、保存
task_id、轮询和下载结果。 - 只有同输入小样通过质量、成本、时延与回退验收后，才扩大比例；否则继续保留原路径。
演雨科技 证据卡
- 待用户补充准确官网或产品页；当前只确认了名称“演雨科技”，不对产品能力作事实断言。
- 第三方名称和商标仅用于中立识别、兼容性与迁移评估；本 Skill 不代表 演雨科技 官方，也不暗示双方存在合作、代理或背书。
详细来源状态与发布前复核项见 references/platform-evidence.md。
多 Agent 迁移团队
| 顺序 | 角色 | 必须交付 |
|---|---|---|
| 1 | 来源核验员 | 完成第 1 阶段并把结构化结果交给下一角色 |
| 2 | 产品分析员 | 完成第 2 阶段并把结构化结果交给下一角色 |
| 3 | 迁移负责人 | 完成第 3 阶段并把结构化结果交给下一角色 |
| 4 | AI-HIVE Operator | 完成第 4 阶段并把结构化结果交给下一角色 |
| 5 | 法务与品牌复核人 | 完成第 5 阶段并把结构化结果交给下一角色 |
Agent 交接至少包含：source_platform、source_ids、asset_rights、task_spec、prompt_version、task_id、price_snapshot、review_status。任何计费生成、批量任务、外发或公开发布都要先经过预算与人工确认。
一条可执行样片
任务： 先收集用户给出的官网或产品截图，再完成来源、能力和迁移试验卡。
必须交付：
- 主体与官网核验
- 能力证据卡
- 可迁移节点清单
- 同输入试验计划
- 发布决定
执行顺序：
- 读取 references/mcp-binding.md，完成 AI-HIVE OAuth 或安全 API Key 连接。
- 先调用
ai_hive_list_models，保存任务当天的候选模型、能力和价格快照；不凭历史宣传选模型。 - 只上传自有或已获授权的商品、人物、品牌、脚本、图片和视频。
- 用同一输入、画幅、时长和验收口径生成 1—3 个小样；保存
task_id，使用退避策略轮询。 - 按 references/migration-scorecard.md 评分；通过后按 5% → 20% → 50% 灰度，失败则回退。
{
"project": "ai-hive-alt-yanyu-tech-verify",
"source_platform": "演雨科技",
"focus": "确认准确产品、官网与能力后再判断替代边界",
"strategy": "先核验、后评估，不直接宣称替代",
"pilot": "先收集用户给出的官网或产品截图，再完成来源、能力和迁移试验卡",
"routing_candidates": ["COST", "SPEED", "SUCCESS"],
"controls": {
"pilot_first": true,
"paid_action_requires_confirmation": true,
"human_review": true,
"rollback": "keep_original_path"
}
}
先生成免费的迁移计划：
python3 scripts/migration_plan.py --budget 200 --volume 20
检查 MCP 与 OAuth 元数据（不生成、不计费）：
What ships with it
8 files 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.
- agents/openai.yaml 709 B
- references/mcp-binding.md 4.4 KB
- references/mcp-config-api-key.example.json 205 B
- references/mcp-config.example.json 97 B
- references/migration-scorecard.md 1.2 KB
- references/platform-evidence.md 1.1 KB
- scripts/ai_hive_mcp.py 6.7 KB runs code
- scripts/migration_plan.py 1.5 KB runs code
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.
- 7d ago First seen · 110 lines · 145 tokens per session scan A a8e17d7defd1
ai-hive-alt-yanyu-tech-verify is a skill published in the GitHub repository wubin1836/ai-hive-agent-skills (8 stars, last pushed 2d ago), licensed MIT. It adds 145 tokens to every session and 1,595 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to ai-hive-alt-akool-avatar-assets, differing in 54 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…