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

实验性 · 审查需审查生成于 2026年10月13日启发式元数据审计
70
审计
61
信任
61
质量
74
安全性
88
维护
92
安装

OpenAgentSkill 信任评分

61
人工审查

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

6 通过 · 16 需审查

安装路径

92

通过

npx skills add adriannoes/awesome-agentic-ai --skill analyzing-api-gateway-access-logs

仓库

88

通过

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

通过

Apache-2.0

维护

88

通过

距上次推送 2 个月

AI 审查

55

检查

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

通过

Usable description available

依赖风险

56

修复

credential or environment access, network or browser surface

安装命令安全性

92

通过

标准软件包或运行时安装路径

权限范围

48

修复

secrets or environment access, network or browser access

Star/Fork 活跃度

48

修复

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

信息

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。

对比相近选项

下一步可审计的相关 Skill