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Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.
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npx skills add https://github.com/mturac/everything-openai-codex --skill research-opsThe command stays on one line. Scroll horizontally to inspect it before copying.
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Use this skill to monitor and verify a deployed URL or public OSS launch surface after releases — checks HTTP endpoints, SSE streams, static assets, console errors, performance regressions, PR queue health, maintainer feedback, and listing-review blockers after deploys, merges, submissions, or dependency upgrades. Smoke / canary / post-deploy / PR-watch verification.
Build reputation-safe open-source marketing from verifiable project evidence, not hype, spam, or repeated public pings. Use for launch copy, directory targeting, community posts, proof packets, and maintainer-facing positioning.
Turn public launch, directory, community, or list rejections into repo fixes and better proof without arguing, spamming, or resubmitting blindly. Use after Hacker News, Product Hunt, GitHub list PR, marketplace, or community rejection.
Based on SOC occupation classification
Showing SKILL.md
| name | research-ops |
| description | 以证据为先的ecc当前状态研究工作流程。当用户希望基于当前公开证据和提供的本地上下文获取最新事实、比较、丰富信息或建议时使用。 |
| origin | ecc |
当用户要求研究当前信息、比较选项、丰富人员或公司信息，或将重复查询转化为可监控的工作流时，使用此功能。
这是仓库研究栈的操作封装。它并非 deep-research、exa-search 或 market-research 的替代品；而是指示何时以及如何将它们结合使用。
在相关场景下，将这些 ecc 原生技能纳入工作流：
exa-search：用于快速发现当前网络信息deep-research：用于多源综合并附带引用market-research：当最终结果应为建议或排序决策时使用lead-intelligence：当任务针对人员/公司而非通用研究时使用knowledge-ops：当结果需持久存储于后续上下文时使用将任何提供的材料规范化为：
如果用户已构建部分模型，不要从零开始重新分析。
在搜索前选择正确的路径：
exa-search 进行快速发现deep-researchmarket-researchlead-intelligence对于重要声明，说明其属于：
对时效性敏感的答案应包含具体日期。
如果用户可能反复提出相同的研究问题，请明确说明，并建议采用监控或工作流层，而非永远重复相同的手动搜索。
问题类型
- 事实性 / 比较性 / 补充性 / 监控性
证据
- 有来源的事实
- 用户提供的上下文
推论
- 从证据中得出的结论
建议
- 答案或下一步行动
- 是否应将其设为监控项