Skill 审计报告
anycap-worldcup-predict 审计报告.
World Cup match prediction and pre-match intel for football (soccer) fans: predict who will win and a likely scoreline, backed by structured, verifiable evidence -- player profiles, squad dossiers, current form, head-to-head records, and past-tournament history -- using AnyCap web search and crawl. Weighs FIFA ranking, recent form, head-to-head, and key players, plus any user-defined dimensions (home advantage, injuries, rest, weather, vibes), then makes a clearly-labeled for-fun call with a confidence level and a mandatory disclaimer. Built on the 'search less, not faster' strategy: narrow the search space first, retrieve only what matters, then verify against authoritative sources. Use when a fan wants a World Cup match prediction, predicted score, or who-will-win call; wants a player's profile, bio, form, or stats; wants a full World Cup squad or national-team lineup table; wants to size up two teams before a match; or wants head-to-head and past World Cup context. Trigger on: World
OpenAgentSkill 信任评分
OpenAgentSkill 信任评分
Trust Score 帮助 Agent 在安装前判断一个 Skill 是否足以进入候选清单。
GitHub 采用度
警告48
43 个 GitHub Stars
Star/Fork 活跃度
警告43
43 个 Star,6 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过88
距上次推送 1 个月
许可证清晰度
通过86
MIT
README/SKILL.md 完整度
通过86
元数据包含足够的用法与工作流上下文
依赖与运行时风险
失败38
command execution surface, credential or environment access
安装可用性
通过92
npx skills add anycap-ai/anycap --skill anycap-worldcup-predict
安装命令安全性
通过92
标准软件包或运行时安装路径
权限范围
失败18
secrets or environment access, shell or command execution
仓库证据
通过86
https://github.com/anycap-ai/anycap/tree/main/skills/anycap-worldcup-predict
审查状态
警告46
缺少 AI 审查批准
Agent 验证结果
信息54
暂未有 Agent 结果数据
检查项
安装与采用审查
安装路径
92
npx skills add anycap-ai/anycap --skill anycap-worldcup-predict
仓库
88
https://github.com/anycap-ai/anycap/tree/main/skills/anycap-worldcup-predict
许可证
86
MIT
维护
88
距上次推送 1 个月
AI 审查
55
Review approval is missing
README/SKILL.md 完整度
86
Usable description available
依赖风险
38
command execution surface, credential or environment access
安装命令安全性
92
标准软件包或运行时安装路径
权限范围
18
secrets or environment access, shell or command execution
Star/Fork 活跃度
43
43 个 Star,6 个 Fork; 当前元数据中没有议题活跃度信息
采用度
42
43 个 GitHub Stars
警告
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Low GitHub adoption signal
- 缺少 AI 审查批准
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 43 GitHub stars
- Stars/forks activity: 43 stars, 6 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Review status: AI review approval is missing
方法
本报告综合公开元数据、AI 审查输出、仓库活跃度、安装就绪度、OpenAgentSkill 事件、质量评分、信任检查和 Agent 安全门槛;它不是完整的源代码安全审计。
对比相近选项
下一步可审计的相关 Skill
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K Stars · 审计报告
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
64K Stars · 审计报告
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38K Stars · 审计报告