Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/agenticaiplan/agenticaiskills/github-trackernpx skills add AgenticAIPlan/AgenticAISkills --skill github-trackergit clone --depth 1 https://github.com/AgenticAIPlan/AgenticAISkillsWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00026 | $0.00618 |
| Opus 5 | $0.00013 | $0.00309 |
| Sonnet 5 | $0.00005 | $0.00124 |
| Haiku 4.5 | $0.00003 | $0.00062 |
Grade A, and why
github-tracker scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
GitHub Tracker
适用场景
当用户的需求语句中包含关键词 [FD进展汇报] 时触发本 Skill。
使用场景
观测 vLLM 和 FastDeploy 的技术进展，当检测到关键词 [FD进展汇报] 时，自动拉取这两个产品 GitHub 上过去24小时的 PR 记录，生成简明扼要的 PR 分析报告。
输入要求
- 用户输入中必须包含关键词
[FD进展汇报] - 无需用户额外提供输入，基于固定的时间窗口（过去24小时）和固定的产品（vLLM、FastDeploy）
- Agent 自动使用 GitHub CLI 或 GitHub API 获取 PR 数据
执行步骤
- 检测用户输入中是否包含关键词
[FD进展汇报]，如果包含则继续执行，否则返回提示信息 - 获取当前时间，计算过去24小时的时间范围
- 拉取 vllm 仓库在该时间范围内的所有 PR 记录
- 拉取 fastdeploy 仓库在该时间范围内的所有 PR 记录
- 对比分析两个仓库的 PR 内容，识别：
- 新模型支持相关 PR
- 新推理能力相关 PR
- 其他技术改进 PR
- 根据技术价值和可宣传性对 PR 进行排序：
- 技术价值排序：新模型支持 > 新推理能力 > 技术改进 > 维护性
- 可宣传性排序标准：
- ⭐⭐⭐（高宣传性）：首个支持、重大突破、1M+ 上下文、全新架构
- ⭐⭐（中宣传性）：性能显著提升、支持热门模型、重要优化
- ⭐（普通宣传性）：普通优化、一般改进、维护性更新
- 生成简明扼要的分析报告
输出要求
- 对比分析 vllm 和 fastdeploy 的 PR
- 重点标注高价值 PR（新模型支持、新推理能力等）
- 结合可宣传性给出排序
- 报告简明扼要，突出关键进展
- 结构清晰，易于阅读
参考资料
github-cli-usage.md: GitHub CLI 使用说明，包含安装、认证和获取 PR 数据的命令示例vllm-intro.md: vLLM 项目简介，包含核心特性、支持的模型类别和技术亮点fastdeploy-intro.md: FastDeploy 项目简介，包含核心特性、支持的模型类型和推理引擎
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 52 lines · 26 tokens per session scan A 9455e0a6cc95
github-tracker is a skill published in the GitHub repository AgenticAIPlan/AgenticAISkills (11 stars, last pushed 3mo ago), licensed MIT. It adds 26 tokens to every session and 618 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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