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megatron-impact-mapper威震天冲击测绘器

Agent Skill

megatron-impact-mapper 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

948

周安装

38

GitHub Stars

12

下载量

307
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:megatron-impact-mapper(威震天冲击测绘器)
来源仓库:https://github.com/ascend/agent-skills
仓库路径:skills/megatron-impact-mapper
安装命令:
npx skills add https://github.com/ascend/agent-skills --skill megatron-impact-mapper
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/ascend/agent-skills --skill megatron-impact-mapper

简介

megatron-impact-mapper 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 适用于影响评估、风险识别、关联分析等需要多维度信息整合的任务。
  • 通过输入主题或事件关键词,返回潜在影响范围和关联数据点。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Megatron Impact Mapper

Resolve the correct MindSpeed branch context and map each relevant Megatron event onto concrete MindSpeed implementation targets. This skill is the gatekeeper for implementation-oriented migration generation.

Hard Gate

Do not generate migration patches until branch alignment is explicit.

Use one of these alignment sources:

  1. user-supplied mapping
  2. a known rule in branch-alignment.md
  3. a repository-local document or commit that states the mapping clearly

If none of these is available, stop at an impact report.

Core Rules

  • Treat MindSpeed branch <-> Megatron branch alignment as mandatory for strict migration mode.
  • Use only official repositories as the source of truth for first-pass analysis.
  • Distinguish between strict migration mode and exploration mode.
  • For megatron main, prefer exploration mode unless the user explicitly chooses a compatible MindSpeed baseline for comparison.
  • Separate three outcomes: already adapted, likely adaptable but missing, not worth adapting now.
  • Do not stop at "candidate paths" when a feature is clearly migration-worthy. Break the feature into implementation targets that correspond to the upstream implementation units.

Workflow

  1. Resolve the MindSpeed branch.
  2. Resolve the mapped Megatron baseline branch.
  3. Compare the baseline against the target Megatron branch or change-set.
  4. For each relevant Megatron event, search for corresponding MindSpeed modules, wrappers, configs, launch paths, and tests.
  5. Map upstream implementation units onto local implementation targets.
  6. Produce an impact report with confidence, rationale, and implementation scope.
  7. Allow handoff to migration generation only for high-confidence impact items.

Required Output

Produce an impact_report with:

{
  "mindspeed_branch": "master",
  "megatron_base_branch": "core_v0.12.1",
  "megatron_target_branch": "core_v0.15.3",
  "mode": "strict",
  "items": [
    {
      "event_title": "Add feature X",
      "status": "likely_missing",
      "confidence": 0.78,
      "candidate_paths": ["mindspeed/path_a.py", "mindspeed/path_b.py"],
      "reason": "Short factual rationale",
      "primary_commit": "sha1",
      "upstream_changed_files": ["megatron/path_a.py", "megatron/path_b.py"],
      "implementation_targets": [
        {
          "name": "Expose config on MindSpeed side",
          "source_unit": "Expose new config flag",
          "candidate_paths": ["mindspeed/arguments.py"],
          "required_change": "Add argument or YAML surface",
          "confidence": 0.82
        },
        {
          "name": "Port runtime behavior",
          "source_unit": "Add runtime behavior",
          "candidate_paths": ["mindspeed/training.py", "mindspeed/core/training.py"],
          "required_change": "Recreate the training shutdown logic locally",
          "confidence": 0.67
        }
      ],
      "covered_units": ["Expose config on MindSpeed side"],
      "missing_units": ["Port runtime behavior"]
    }
  ]
}

Decision Rules

  • If alignment is unresolved: report only.
  • If alignment is resolved but implementation targets are weakly supported: report plus implementation plan, not direct edits.
  • If alignment and implementation targets are both high confidence: allow migration patch generation.
  • If an item has only one touched local file but the upstream event clearly spans multiple implementation units, mark the uncovered units explicitly instead of pretending the feature is fully mapped.

References

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

31.73%
按下载量换算97

Claude

31.73%
按下载量换算97

Cursor

19.11%
按下载量换算59

Gemini CLI

8.98%
按下载量换算28

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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