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 actiongo-film-agent-ai-hive-migrationgit 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/actiongo-film-agent-ai-hive-migration)<a href="https://agentmods.dev/skills/wubin1836/ai-hive-agent-skills/actiongo-film-agent-ai-hive-migration"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/actiongo-film-agent-ai-hive-migration/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/actiongo-film-agent-ai-hive-migration"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/actiongo-film-agent-ai-hive-migration.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 | $0.00156 | $0.01423 |
| Opus 5 | $0.00078 | $0.00711 |
| Sonnet 5 | $0.00031 | $0.00285 |
| Haiku 4.5 | $0.00016 | $0.00142 |
Grade A, and why
actiongo-film-agent-ai-hive-migration 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI大模型专家｜ActionGo 替代与迁移｜AI-HIVE MCP
ActionGo 的价值不只在某个底层模型，而在它把多个制作角色串成了可工作的项目。迁移时应保留这种角色分工，再决定哪些生成节点交给 AI-HIVE。
迁移结论
- 方式：内容层部分迁移。
- 执行方法：保留原平台专有工作台，只迁移可独立验收的图片、视频或镜头节点。
- 平台类别：AI 影视创作平台。
- 明确保留：其影视项目管理、角色资产、编辑和社区能力需继续保留。
- 迁移结果必须通过相同输入、相同时长/尺寸和同一验收表判断，而不是比较宣传口号。
官方证据卡
- 官方来源：https://actiongo.ai/zh
- 2026-08-31 核验摘要：官方面向 AI 影视创作，覆盖从创意资产到镜头生成的制作工作。
- 发布前重新访问来源，确认产品名称、能力、可用地区和版本没有变化。
- 第三方商标只用于中立识别；本 Skill 与 ActionGo 不存在隶属、代理或官方背书关系。
扩展证据与禁止断言见 references/platform-evidence.md。
Agent 制片团队
| 顺序 | 角色 | 必须交付 |
|---|---|---|
| 1 | Creative Producer | 冻结目标、受众、时长、渠道和预算 |
| 2 | Script Agent | 形成事实可回指的脚本与镜头意图 |
| 3 | Storyboard Agent | 规划构图、节奏、参考素材和依赖关系 |
| 4 | AI-HIVE Operator | 查询模型与价格，创建并跟踪媒体任务 |
| 5 | Editor Handoff | 输出时间码、take 选择和后期交接说明 |
| 6 | Human Reviewer | 批准事实、品牌、版权、人物与最终发布 |
Agent 交接至少携带：source_ids、asset_rights、character_or_brand_rules、prompt_version、task_id、cost_snapshot、review_status。任何计费生成、外发、发布或数据写入都必须有预算与人工审批。
一条可执行样片
用动作场景测试 10 个镜头，重点验收运动连贯、主体身份和镜头方向。
必须交付：
- 动作分镜
- 角色参考
- 十个镜头
- 运动连续性报告
建立基线后再做 5% → 20% → 50% 灰度。连续两轮不达标、预算越界、关键能力缺失或回退失败时停止迁移。
AI-HIVE MCP 工单
- 在宿主 Agent 中先执行
tools/list，只采用返回的真实工具名与 schema；不要硬编码不存在的接口。 - 查询当天可用模型和价格快照，按
COST、SPEED、SUCCESS形成候选路由。 - 仅上传自有或已获授权的参考图片、视频、人物、商品与品牌资产，并保存来源和文件哈希。
- 每个镜头使用幂等键；创建异步任务后保存
task_id，按平台允许的退避策略轮询并下载结果。 - 每条结果进入人工质检；批准前不批量、不发布、不自动外发。
{
"project": "actiongo-film-agent-ai-hive-migration",
"source_platform": "ActionGo",
"strategy": "partial",
"routing_candidates": ["COST", "SPEED", "SUCCESS"],
"inputs": {"brief": "approved", "references": "owned_or_authorized"},
"deliverables": ["动作分镜", "角色参考", "十个镜头", "运动连续性报告"],
"controls": {"pilot_first": true, "human_approval": true, "rollback": "keep_original_path"}
}
验收与边界
至少记录任务成功率、首个可用结果时间、单位可用结果成本、人工返工分钟、角色/品牌一致性、事实准确、局部重做成功率和回退成功率。
- AI-HIVE 可承担多模型查询、价格快照、授权素材上传、图片/视频异步任务、轮询与下载。
- AI-HIVE 不自动等于 ActionGo 的编辑器、项目记忆、数字人、声音、RAG、浏览器、CRM、渠道发布、企业权限或治理。
- 未做同日同输入实测时，不写“更好、更稳、最低价、全面替代”；可写“建议试迁、部分替代、组合接入”。
- 发现未授权人物、商标、IP、音乐或参考视频时立即停止。
What ships with it
2 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.
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.
- 9d ago First seen · 90 lines · 156 tokens per session scan A 175e88717558
actiongo-film-agent-ai-hive-migration is a skill published in the GitHub repository wubin1836/ai-hive-agent-skills (8 stars, last pushed 2d ago), licensed MIT. It adds 156 tokens to every session and 1,423 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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