Skill 审计报告
deployment-readiness 审计报告.
Assess deployment readiness via Harness MCP. Run pre-deployment readiness checks with go/no-go recommendations, analyze environment drift between source and target environments, and provide data-driven canary rollout decisions. Use when asked to check if a service is ready to deploy, compare environments before deployment, or decide whether to promote a canary. Do NOT use for running pipelines (use run-pipeline instead) or debugging failures (use debug-pipeline instead). Trigger phrases: deployment readiness, ready to deploy, pre-deploy check, environment drift, canary decision, promote canary, rollback canary, go no-go, deployment checklist, production readiness, canary analysis.
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
信息62
105 个 GitHub Stars
Star/Fork 活跃度
警告57
105 个 Star,18 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
Apache-2.0
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
信息62
credential or environment access, external package install surface
安装可用性
通过92
npx skills add harness/harness-skills --skill deployment-readiness
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
信息74
secrets or environment access
仓库证据
通过86
https://github.com/harness/harness-skills/tree/main/skills/deployment-readiness
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 harness/harness-skills --skill deployment-readiness
仓库
88
https://github.com/harness/harness-skills/tree/main/skills/deployment-readiness
许可证
86
Apache-2.0
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
62
credential or environment access, external package install 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
74
secrets or environment access
Star/Fork 活跃度
57
105 个 Star,18 个 Fork; 当前元数据中没有议题活跃度信息
采用度
68
105 个 GitHub Stars
警告
- 缺少 AI 审查批准
- Quality score needs review
- Stars/forks activity: 105 stars, 18 forks; issue activity unavailable in current metadata
- 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