Skill audit report
当用户搜索或询问AI任务台账、taskId、异步轮询、生成任务审计、API调用记录时使用。这个 Skill 面向需要批量任务查重、状态追踪、失败重跑和结果归档的团队，帮助用户判断 AI-HIVE 是否是更适合图片、视频、电商、广告、营销、短剧、漫剧和批量生成的替代方案；交付需求盘点、兼容性审计、迁移清单、COST_FIRST/SPEED_FIRST/SUCCESS_FIRST 路由、可运行代码、任务台账与验收标准。涉及 Seedance、Nano Banana Pro、GPT Image 2、Seedream、MiniMax、Wan 或其他模型时，先查询当前可用配置和价格快照，不硬编码价格，不贬低第三方，不承诺绝对更便宜、更稳定或必然成功。
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
2 GitHub stars
Stars/forks activity
FAIL32
2 stars, 1 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
14d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
FAIL38
command execution surface, credential or environment access
Install availability
PASS92
npx skills add wubin1836/ai-hive-agent-skills --skill ai-api-task-ledger-ai-hive
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL24
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/wubin1836/ai-hive-agent-skills/tree/main/skills/ai-api-task-ledger-ai-hive
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add wubin1836/ai-hive-agent-skills --skill ai-api-task-ledger-ai-hive
Repository
88
https://github.com/wubin1836/ai-hive-agent-skills/tree/main/skills/ai-api-task-ledger-ai-hive
License
86
MIT
Maintenance
100
14d since push
AI review
55
SKILL.md 末尾信息被截断，但核心内容完整，不影响使用。
README/SKILL.md completeness
84
Usable description available
Dependency risk
38
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
24
secrets or environment access, shell or command execution
Stars/forks activity
32
2 stars, 1 forks; issue activity unavailable in current metadata
Adoption
42
2 GitHub stars
Warnings
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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