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Agent Skill · 研究检索

devlog(devlog 搜索)

devlog 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。

devlog 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 3,752。

总安装 40,049周安装 1,636GitHub Stars 公开资料未说明下载 12,826核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:devlog(devlog 搜索)
来源仓库:https://github.com/lordshashank/devlog
安装命令:
openclaw skills install devlog
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 devlog

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

从人工智能编码会话记录生成叙述性博客文章。读取会话文件,选择与主题相关的会话,并生成由代理讲述的有关人工与代理协作的博客文章。支持构建者日志、教程和技术深入探讨风格。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install devlog;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

devlog 怎么安装?

在终端执行 openclaw skills install devlog。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

devlog 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

devlog 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

devlog 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

devlog 用的人多吗?

公开数据是累计安装 40,049 次,近一周安装 1,636 次,下载 12,826 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

devlog 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
devlog

devlog 搜索 · 本页

40,049—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
devlog
tags
description
>-
version
0.1.0

DevLog Generator

Generate narrative developer blog posts from human-agent coding session transcripts. The blog is written from the agent's first-person perspective — "I" is the agent, and the human developer is referred to as "my human."

Workflow

Phase 1: Understand the Request

Extract from the user's message:

  • Project — which codebase? ("eastore", "filecoin", "couponswap"). If unspecified, use the current working directory.
  • Topic/feature — what specifically? ("auth system", "dashboard", or the whole project). If unspecified, include all sessions.
  • Style — builder's log (default), tutorial, or technical deep-dive. Override only if the user explicitly asks.
  • Time range — "last week", "January sessions", or all (default).

Phase 2: Discover Sessions

Determine which platform to scan. Check references/platforms/ for supported platforms — each subdirectory is a platform. Auto-detect from the current environment, or from the user's request.

Load only the relevant platform directory. Each contains a reference file (storage schema, session paths, discovery instructions) and scripts (list-sessions.sh, read-session.sh). Never load all platform references upfront.

Run the platform's list-sessions.sh <project> to scan for matching sessions, OR follow the discovery instructions in the platform reference file manually.

If the platform has no reference directory in references/platforms/, discover sessions manually — check the platform's data/config directories (e.g. ~/.local/share/, ~/.config/, ~/Library/), look for session storage files (JSONL, JSON, SQLite), and inspect the schema to extract the human-agent dialogue. Follow the same filtering principles from Phase 3.

Present the session index to the user for confirmation.

Phase 3: Select & Read

From the session index, determine which sessions are relevant to the user's topic. Read the full transcripts of selected sessions.

When reading transcripts, filter aggressively:

Keep:

  • User messages (text) — the human's intent, direction, corrections
  • Assistant messages (text) — the agent's reasoning, proposals, explanations
  • Tool call names + file paths — what was built
  • Error messages — struggles and debugging

Strip:

  • tool_result content bodies (raw file contents, grep output — 80-90% of token size)
  • System messages, usage metadata, compaction/summary entries
  • Full tool input arguments (keep name + file path only, not entire diffs)

Refer to the platform reference file loaded in Phase 2 for platform-specific field names and parsing details.

If filtered transcripts still exceed context, process per-session: generate per-session summaries, then synthesize across sessions. Prioritize the human-agent dialogue over tool call details.

Phase 4: Write the Blog

Read references/blog-writing-guide.md for the agent-narrated writing guide. This contains the voice definition, collaboration vocabulary, transcript extraction patterns, and blog structure.

Read the style-appropriate example from examples/:

  • examples/builders-log.md for builder's log style (default)
  • examples/tutorial.md for tutorial style
  • examples/technical.md for technical deep-dive style

Load assets/devlog-template.md as the blog skeleton. This is a starting structure, not a rigid format — adapt sections, reorder, merge, or drop headings based on what the session transcripts actually contain. A single-session blog may skip phase headings entirely. A heavily iterative session might expand "The Hard Part" into multiple sections. Let the story dictate the shape.

Generate the blog following the writing guide. The blog must be narrated by the agent in first person ("I"), referring to the human developer as "my human." When the session involves architecture, flows, or multi-component interactions, include Mermaid diagrams ( `mermaid code blocks) to visualize the system — see the diagrams section in the writing guide for when and how.

Phase 5: Output

Write the blog to {project}-{topic}-devlog.md in the current working directory, or a user-specified path.

Report: title, word count, sessions included, time span covered, key files referenced.

Phase 6: Publish

  1. Ask the user if they want to publish the blog online.
  2. If yes, check references/publishing/ for supported platforms. Each subdirectory is a publishing platform.
  3. Load the relevant platform's reference file for API details and requirements.
  4. Check for required environment variables (e.g. HASHNODE_PAT, HASHNODE_PUBLICATION_ID for Hashnode).
  5. If any are missing, tell the user what to set and how — e.g. export HASHNODE_PAT=... in ~/.zshrc or ~/.bashrc for future sessions. Ask the user to provide the values for the current session.
  6. Cover image (optional): If you have image generation capabilities (e.g. an image generation tool or MCP server), generate a cover image that visually represents the blog's theme. Upload it to a publicly accessible URL and pass it to publish.sh with the --cover-image <url> flag. The image should be landscape-oriented (1200×630 or similar), visually relevant to the blog topic, and not contain text that duplicates the title. If you don't have image generation capabilities, skip this step — the blog publishes fine without a cover image.
  7. Run the platform's publish.sh with the blog file path and title (plus --cover-image <url> if a cover image was generated).
  8. Report the published post URL to the user.

Edge Cases

ScenarioHandling
No sessions foundReport which paths were scanned. Ask the user to check the project name or provide a path.
Ambiguous project matchList matching projects, ask the user to pick.
Single sessionSimpler structure — no multi-session phase headings needed.
Huge session (5000+ lines)Chunk per-turn-group, summarize sections, then synthesize.
Mixed platformsMerge sessions from multiple platforms chronologically.
Subagent transcriptsSkip by default. Main session already references their results.
Current sessionWhen the user says "what we just did" — use current session context directly, no JSONL needed.
Compacted sessionsCompaction does not delete data. Raw messages remain. Read everything, skip compaction/summary lines.
User declines to publishSkip Phase 6 entirely. The blog file is already saved locally from Phase 5.

Resources

Platform References (load only the relevant one)

  • references/platforms/claude-code/ — Claude Code reference + scripts

- claude-code.md — Session paths, JSONL schema, discovery instructions - list-sessions.sh — Scan Claude Code projects for matching sessions - read-session.sh — Extract transcript from Claude Code JSONL

  • references/platforms/opencode/ — OpenCode reference + scripts

- opencode.md — Storage layout, JSON hierarchy, discovery instructions - list-sessions.sh — Scan OpenCode projects for matching sessions - read-session.sh — Extract transcript from OpenCode's JSON hierarchy

  • references/platforms/openclaw/ — OpenClaw reference + scripts

- openclaw.md — Session paths, JSONL schema, discovery instructions - list-sessions.sh — Scan OpenClaw agents for matching sessions - read-session.sh — Extract transcript from OpenClaw JSONL

  • references/platforms/codex/ — Codex reference + scripts

- codex.md — Rollout file format, JSONL schema, discovery instructions - list-sessions.sh — Scan Codex rollout files for matching sessions - read-session.sh — Extract transcript from Codex rollout JSONL

  • references/platforms/gemini-cli/ — Gemini CLI reference + scripts

- gemini-cli.md — JSON session format, SHA256 project hashing, discovery instructions - list-sessions.sh — Scan Gemini CLI session files for matching projects - read-session.sh — Extract transcript from Gemini CLI session JSON

  • references/blog-writing-guide.md — Voice, collaboration vocabulary, transcript extraction patterns, blog structure

Publishing Platforms (load only the relevant one)

  • references/publishing/hashnode/ — Hashnode publishing reference + script

- hashnode.md — GraphQL API endpoint, authentication, publishPost mutation, required env vars - publish.sh — Publish a markdown file to Hashnode, outputs the post URL

Examples

  • examples/builders-log.md — Builder's log style output
  • examples/tutorial.md — Tutorial style output
  • examples/technical.md — Technical deep-dive output

Assets

  • assets/devlog-template.md — Blog skeleton template

平台分布

OpenClaw

94.2%
按下载量换算12,082

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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