gameops-investigator — security grade SAFE, quality 65/100

Security audit verdict: SAFE · quality 65/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by nickname21kmr · MCP Server · ★ 76

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is gameops-investigator safe to install? View the security audit →

About gameops-investigator

GameOps Investigator English overview — An evidence-first game operations incident investigation agent built around metric contracts, read-only SQL, cohort comparison, anomaly testing, and citation-checked reports. The repository uses synthetic data; automated safety and integration tests and a 40-case deterministic offline evaluation validate the tool, safety, replay, and evidence pipeline—not Claude model quality. Architecture · Browser demo · Security boundary · Onboarding · Evaluation cases 一个可运行、可审计、可评测的游戏运营异常归因 Agent。它把 Claude Code 作为规划与解释层,把指标、SQL、分群比较、异常检测和引用校验留给确定性程序。 数据声明:仓库内是固定种子生成的 5,000 名合成玩家和 136,164 条源事件。三个事故仅注入派生数据库,不代表真实商业游戏指标。 你能现场演示什么 内置三个可复现案例: 教程关键步完成率下降,D1 留存同步下滑。 玩家分群流失,整体检验未越过阈值但分群显著。 重复上报,事件级强度虚高而玩家级采用率基本稳定。 工作台包含调查结论、完整工具轨迹、只读 SQL 沙盒、维度下钻图、40 条固定评测以及安全/泛化说明。 一键运行(Windows) 浏览器打开 http://localhost:8501。 使用本机 (找不到时回退到 )创建项目级 ,安装依赖、重建事故数据、生成三份报告、运行测试和 40 条评测。 如果环境已配置,只启动界面: Claude Code + MCP 仓库根目录的 会注

anomaly-detectionclaude-codegame-analyticsllm-evaluationmcpsqlitestreamlittext-to-sql

Quick Facts

Stars76
Forks1
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score65.3327003176714/100
Last Updated2026-09-15
Created2026-08-30
Platformsclaude-code, mcp, python
Est. Tokens~14k

Compatible Skills

These tools work well together with gameops-investigator for enhanced workflows:

  • text2sql-framework — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)
  • ParanoiaSkills — semantic(0.33)+complementary+same_lang+similar_pop+shared_platform (61%)

gameops-investigator alternative? Top 6 similar tools

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Frequently Asked Questions

What is gameops-investigator?

gameops-investigator is Evidence-first game operations incident investigation agent with read-only MCP tools and reproducible evaluations.. It is categorized as a MCP Server with 76 GitHub stars.

What programming language is gameops-investigator written in?

gameops-investigator is primarily written in Python. It covers topics such as anomaly-detection, claude-code, game-analytics.

How do I install or use gameops-investigator?

You can find installation instructions and usage details in the gameops-investigator GitHub repository at github.com/nickname21kmr/gameops-investigator. The project has 76 stars and 1 forks, indicating an active community.

What license does gameops-investigator use?

gameops-investigator is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to gameops-investigator?

The top alternatives to gameops-investigator on Agent Skills Hub include daymon, TaskWing, claude-memory-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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