anyuer678/dsh-logtimeline
使用中文自然语言时间表达式查询本地日志文件 — LogTimeline for DeepSeek Harness。
Project Overview项目介绍
dsh-logtimeline is a native plugin built exclusively for DeepSeek Harness (DSH) that adds a log_query tool for DSH agents. It enables agents to query local log files using natural-language Chinese time expressions, like "yesterday afternoon" or "3 hours ago". Users can install it either by cloning the repository and adding it locally via the DSH CLI, or install it one-click through the DSH community plugin market once it is listed. It requires an existing DSH profile (either web or headless) and Python 3.9+ installed on the host machine to run.
The plugin supports parsing multiple types of time inputs, including absolute dates, relative times, fuzzy windows, and explicit hour ranges, each returned with a confidence score. It automatically detects timestamp formats, handles UTF-8 and GBK encoding, and streams logs to avoid loading full large files into memory. It outputs structured JSON results with resolved time ranges, line matches, and level statistics that agents can use directly for reasoning, which eliminates the need for agents to parse unstructured terminal output. This makes it ideal for developers debugging applications that generate large log files.
This is a community-maintained plugin that is not affiliated with DeepSeek, and it is released under the GPL-3.0 open source license. It runs fully offline by default, makes no outbound network calls, does not store or exfiltrate any log data, and only reads file paths explicitly passed to it by the agent. All log analysis operations are done locally, so sensitive log content never leaves your machine. The project is not validated to production-grade standards, so it is not suitable for use in production or critical environments, and all usage risk is assumed by the user.
这是一个专为 DeepSeek Harness 开发的原生插件,核心功能是支持编码代理通过中文自然语言时间表达式查询本地日志文件。它可以解析绝对日期、相对时间、模糊时段和指定小时范围等多种中文时间表达,自动过滤匹配时间范围的日志行,同时统计不同错误级别的日志数量,输出结构化结果供代理直接推理使用。
编码代理在开发调试过程中,经常需要查询特定时间点前后的日志内容,通用日志工具需要用户手动编写grep命令和计算时间戳,使用门槛较高,这个插件简化了整个查询流程。用户只需要向代理说明要查询的时间和日志路径,插件就会自动完成时间解析和日志过滤,适合开发人员日常调试时快速定位特定时段的日志问题。
该插件遵循 GPL-3.0 协议开源,默认全程离线运行,不需要第三方API密钥,也不会将日志内容外传,所有分析都在本地完成。使用前需要提前安装Python 3.9+环境,插件目前是社区维护的非生产级项目,不适合用于生产或关键环境,使用风险由用户自行承担。
请帮我安装这个 DSH 插件。安装前先完成【兼容性检查 + 安全性检查】,检查通过再动手。
插件:dsh-logtimeline(anyuer678/dsh-logtimeline)
仓库:https://github.com/anyuer678/dsh-logtimeline
本站详情页:https://www.yhbd.top/plugins/anyuer678-dsh-logtimeline/
本站登记:类型 plugin · 归类 原生 DSH 插件 · 许可证 GPL-3.0 · ⭐ 3 · 最近提交 2026-09-25 · 主语言 Python
按下面顺序执行,每步先把结论告诉我,再进入下一步:
【1 兼容性检查】
① 我这边:DSH 版本、Node 版本、操作系统、当前 profile(web / desktop)。
② 读它的 README、package.json、插件 manifest,列出它要求的 DSH 版本 / Node 版本 / 操作系统 / 外部依赖 / 需要另外先装的运行时。
③ 逐条比对,结论只写「满足 / 不满足 / 未知」三种;不满足的给出可行替代方案。
④ 检查是否和我已装的插件冲突:命令名重复、skill / tool 重名、端口占用、重复注册的 MCP server。
【2 安全性检查】
① 仓库可信度:和上面「本站登记」是否一致;star / fork 数、创建时间、最近提交,是否归档或长期停更。
② 安装脚本:逐行看 package.json 的 preinstall / install / postinstall,以及 install.sh、setup.ps1 之类脚本。出现 curl|bash、下载后直接执行、混淆代码、访问与插件功能无关的域名,立刻停下来告诉我,不要继续装。
③ 依赖:列出新增依赖,标出无人维护、或与知名包拼写近似的可疑包(typosquatting)。
④ 权限与副作用:它会读写哪些目录、访问哪些域名、需要哪些 DSH 权限(filesystem / network / shell / clipboard 等),以及怎么卸载和回滚。
⑤ 如果它要求 sudo / 管理员权限,或权限明显超出功能所需,先停下来问我。
【3 安装】
上面两步没有「不满足」和「高危项」时才执行;用官方推荐方式安装,不要自行提权。
【4 汇报】
用表格输出:检查项 / 结论 / 依据 / 是否需要我决策。拿不准的一律写「未知」并说明要我怎么确认——不要猜,也不要替我决定。
Send this message to DSH in your current session: it verifies compatibility and security first (answering met / not met / unknown item by item) and only installs once everything checks out — it will stop and ask you if it finds a high-risk item. The box scrolls; the copy is the full prompt. CLI install commands may not be accurate across systems, so DSH is the safer route.把上面这条消息直接发给当前会话里的 DSH:它会先核对兼容性与安全性(逐条给「满足 / 不满足 / 未知」),确认没问题再安装,有高危项会停下来问你。框内可滚动,复制到的是完整提示词;安装命令不一定准确,发给 DSH 更稳。
- Only 3 stars - very few users, little community feedback星标只有 3,几乎没人在用,遇到问题缺少社区反馈
DSH walks through these 9 checksDSH 会逐条核对这 9 项
Compatibility兼容性
- DSH, Node, OS and profile requirementsDSH 版本 / Node 版本 / 操作系统 / profile 是否满足要求
- External dependencies and runtimes (Electron / Python / Docker, ...)外部依赖与运行时(Electron / Python / Docker 等)是否齐备
- Conflicts with installed plugins: command names, skill / tool names, ports, duplicate MCP registration与已装插件是否冲突:命令名、skill / tool 重名、端口占用、重复 MCP 注册
Security安全性
- Repo matches the facts registered here; archived or abandoned?仓库是否与页面登记一致,是否归档或长期停更
- Safety of preinstall / install / postinstall and install.sh / setup.ps1preinstall / install / postinstall 与 install.sh、setup.ps1 是否安全
- curl|bash, download-then-execute, obfuscation, unrelated domains → stop immediatelycurl|bash、下载即执行、混淆代码、无关域名 → 立刻停止
- Typosquatting or unmaintained packages among the new dependencies新增依赖里有没有 typosquatting 或无人维护的包
- Requested permissions vs. what the feature actually needs申请了哪些权限、是否超出功能所需(filesystem / network / shell / clipboard)
- Any sudo / admin requirement, plus uninstall and rollback是否要求 sudo / 管理员权限,以及卸载与回滚方式
Anything uncertain must be marked unknown with a note on how to confirm it. This site's signal screen is a static snapshot, not a security audit.拿不准的必须标「未知」并说明要我怎么确认。本站的信号筛查是静态快照,不能替代安全审计。
Or use CLI install (for developers)或使用命令行安装(适合开发者)
CLI Install命令行安装
dsh plugin --profile web add dshmarket
把 anyuer678/dsh-logtimeline 加入你的 DSH 配置(web profile)即可启用。
READMEREADME
🐳 dsh-logtimeline
Query local log files with Chinese natural-language time expressions — LogTimeline for DeepSeek Harness.
Ask 「昨天下午」「3小时前」「凌晨12点」「上周三 14:00-15:00」 — get the matching log lines, the resolved time range, and ERROR/WARN/INFO level stats. Fully offline. Logs never leave the machine.
Why
Coding agents constantly need to answer "what happened around 3pm yesterday?". Generic log tools make you hand-write grep pipelines and timestamp math. log_query resolves the fuzzy Chinese time expression for you and returns structured, machine-readable matches the agent can reason over directly — no parsing prose out of terminal output.
Features
| 🕐 Chinese time parsing | Absolute dates (2026-07-03, 7月3日 09:15), relative (3小时前, 昨天, 上周三), fuzzy windows (下午, 凌晨), hour ranges (14:00-15:00) — each with a confidence score |
| 📄 Multi-format logs | Auto-detected timestamp formats, UTF-8/GBK encoding fallback, streaming filter (no full-file load, ~2.4s per 300k lines) |
| 🔒 Offline by default | Zero third-party Python dependencies; log contents never leave the machine |
| 🧩 Structured output | Canonical JSON (time_range, filter, lines, stats) rendered as readable text for the model, spill-safe under the harness's 50KB inline budget |
Showing the opening section of the README — the full document lives in the repository以上为 README 开头摘要,完整文档在仓库内 · View the full README on GitHub →在 GitHub 查看完整 README →
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