Skill 审计报告
analyzing-api-gateway-access-logs 审计报告.
'Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect
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
57 个 GitHub Stars
Star/Fork 活跃度
警告48
57 个 Star,12 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 2 个月
许可证清晰度
通过86
Apache-2.0
README/SKILL.md 完整度
信息70
公开元数据需要更完整的 README/SKILL.md 上下文
依赖与运行时风险
警告56
credential or environment access, network or browser surface
安装可用性
通过92
npx skills add adriannoes/awesome-agentic-ai --skill analyzing-api-gateway-access-logs
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
警告48
secrets or environment access, network or browser access
仓库证据
通过86
https://github.com/adriannoes/awesome-agentic-ai/tree/main/cursor-claude-codex/skills/anthropic-cybersecurity-skills/skills/analyzing-api-gateway-access-logs
审查状态
信息66
可用 AI 审查数据
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 adriannoes/awesome-agentic-ai --skill analyzing-api-gateway-access-logs
仓库
88
https://github.com/adriannoes/awesome-agentic-ai/tree/main/cursor-claude-codex/skills/anthropic-cybersecurity-skills/skills/analyzing-api-gateway-access-logs
许可证
86
Apache-2.0
维护
88
距上次推送 2 个月
AI 审查
55
SKILL.md does not document installation steps, exact CLI usage, or expected input log schema, making the skill harder to operate correctly.
README/SKILL.md 完整度
84
Usable description available
依赖风险
56
credential or environment access, network or browser surface
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
48
secrets or environment access, network or browser access
Star/Fork 活跃度
48
57 个 Star,12 个 Fork; 当前元数据中没有议题活跃度信息
采用度
68
57 个 GitHub Stars
警告
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- SKILL.md does not document installation steps, exact CLI usage, or expected input log schema, making the skill harder to operate correctly.
- The script assumes specific columns (e.g., timestamp, status_code, resource_id, source_ip) with little validation; malformed or differently-shaped logs will cause errors or false findings.
- No explicit warning that log content should be treated as untrusted data; an AI agent could be influenced by instructions embedded in log fields.
- The generated report may include raw query strings, request bodies, and paths without redaction, which could expose sensitive tokens or secrets if shared.
- Safe operating boundaries are under-specified: no guidance on authorized environments, log retention, or handling of potentially sensitive production logs.
- Quality score needs review
- Permission surface needs review: secrets or environment access, network or browser access
- GitHub adoption: 57 GitHub stars
- Stars/forks activity: 57 stars, 12 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: credential or environment access, network or browser surface
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。
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