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nm-imbue-structured-outputnm 注入结构化输出

Agent Skill

nm-imbue-structured-output 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

2,493

周安装

106

GitHub Stars

公开资料未说明

下载量

873
OpenClaw

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

MIT-0

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:nm-imbue-structured-output(nm 注入结构化输出)
来源仓库:https://github.com/athola/nm-imbue-structured-output
安装命令:
openclaw skills install nm-imbue-structured-output
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install nm-imbue-structured-output

简介

用于查找、检索和筛选相关信息。nm-imbue-structured-output 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 适合根据关键词或任务场景快速定位候选结果。
  • 可结合来源仓库和 README 继续核验具体用法。
  • 安装命令:openclaw skills install nm-imbue-structured-output。
  • 建议确认权限范围和维护状态,避免触发联网或命令执行。

SKILL.md

name
structured-output
description
|
version
1.8.2
triggers
metadata
{"openclaw": {"homepage": "https://github.com/athola/claude-night-market/tree/master/plugins/imbue", "emoji": "\�\�", "requires": {"config": ["night-market.imbue:proof-of-work"]}}}
source
claude-night-market
source_plugin
imbue
Night Market Skill — ported from claude-night-market/imbue. For the full experience with agents, hooks, and commands, install the Claude Code plugin.

Table of Contents

Structured Output

When To Use

  • When finalizing any review or analysis.
  • To format findings in a consistent and actionable way.
  • Before presenting results to stakeholders or committing them to documentation.

When NOT To Use

  • Capturing evidence during analysis - use proof-of-work
  • Reviewing changes - use diff-analysis or review-core first

Activation Patterns

Trigger Keywords: format, structure, deliverable, report, organize, present, consistent Contextual Cues:

  • "format this as a report" or "structure the output"
  • "create a deliverable" or "present these findings"
  • "organize this consistently" or "standardize the format"
  • "make this actionable" or "prepare for stakeholders"

Auto-Load When: Finalizing any analysis deliverable or when consistent formatting is requested.

Required TodoWrite Items

  1. structured-output:template-selected
  2. structured-output:findings-formatted
  3. structured-output:actions-assigned
  4. structured-output:appendix-attached

Mark each item complete as you finish the corresponding step.

Step 1: Select Template (structured-output:template-selected)

  • Choose output format based on deliverable type:

- Review Report: Summary, Findings, Recommendations, Evidence. - PR Description: Summary, Changes, Test Plan, Notes. - Release Notes: Highlights, Breaking Changes, Fixes, Credits. - Incident Report: Timeline, Impact, Root Cause, Remediation.

  • Confirm audience and required detail level.

Step 2: Format Findings (structured-output:findings-formatted)

  • Use consistent finding structure:
  ### [SEVERITY] Finding Title
  **Location**: file.rs:123
  **Category**: Security | Performance | Correctness | Style
  **Description**: Brief explanation of the issue.
  **Evidence**: [E1, E2] - Reference to evidence log.
  **Recommendation**: Specific remediation steps.

Verification: Run the command with --help flag to verify availability.

  • Severity levels: CRITICAL, HIGH, MEDIUM, LOW, INFO.
  • Order findings by severity, then by file location.

Step 3: Assign Actions (structured-output:actions-assigned)

  • Convert findings to actionable items:
  ## Action Items
  - [ ] [HIGH] Fix SQL injection in auth.py:45 (@security-team, P1)
  - [ ] [MEDIUM] Add input validation to API endpoint (@backend, P2)
  - [ ] [LOW] Update deprecated dependency (@devops, P3)

Verification: Run the command with --help flag to verify availability.

  • Include owner assignment where known.
  • Add priority indicators (P1/P2/P3) for triage.
  • Note dependencies between actions.

Step 4: Attach Appendix (structured-output:appendix-attached)

  • Compile supporting materials:
  ## Appendix
  ### A. Commands Run
  [Full evidence log from imbue:proof-of-work]

  ### B. External References
  [Citations and documentation links]

  ### C. Raw Data
  [Large outputs, full diffs, or data exports]

Verification: Run the command with --help flag to verify availability.

  • Keep main report concise; details in appendix.
  • validate appendix is navigable with clear section headers.

Output Quality Checklist

Before finalizing:

  • [ ] All findings have evidence references.
  • [ ] Severity levels are justified.
  • [ ] Recommendations are specific and actionable.
  • [ ] No orphaned sections or placeholder text.
  • [ ] Format renders correctly in target medium (GitHub, Confluence, etc.).

Exit Criteria

  • Todos completed with formatted deliverable.
  • Output follows selected template structure.
  • Stakeholders can act on findings without clarification.

Troubleshooting

Common Issues

Command not found Ensure all dependencies are installed and in PATH

Permission errors Check file permissions and run with appropriate privileges

Unexpected behavior Enable verbose logging with --verbose flag

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

70.72%
按下载量换算617

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。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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