Agent skill

SDK Log Analysis

by infometa in infometa/workbuddyskills

SDK 客户端日志分析 skill(带 Web 预览版)。用于本地 .clog/.xlog/文本日志的类型识别、二进制解码、TRTC/IM/TUI 客户端日志时间线解析,并提供本地日志 Web 预览服务。

No licenceAuto-check passed

Install SDK Log Analysis

skills CLI
$ npx skills add infometa/workbuddyskills --skill sdk-log-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install infometa/workbuddyskills sdk-log-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/experts/sdk-log-expert/skills/sdk-log-analysis .claude/skills/sdk-log-analysis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
sdk-log-analysis
GitHub stars
344
Token cost
~1.4k tokens
SKILL.md length
303 words
Files
69 (incl. scripts, references)
Skills in repo
212
Repo updated
First seen
Licence
None found

At a glance

SDK 客户端日志分析 skill(带 Web 预览版)。用于本地 .clog/.xlog/文本日志的类型识别、二进制解码、TRTC/IM/TUI 客户端日志时间线解析,并提供本地日志 Web 预览服务。

  • Works in 8 steps: 本地日志入口快路径(先判类型,再分析) → 数据源 → Clog decoder 策略 → …
  • SKILL.md covers 0. 本地日志入口快路径(先判类型,再分析), 1. 数据源, 2. Clog decoder 策略 and 3. 生成时间线, plus 4 more sections
  • Runs JavaScript scripts from its folder; calls node and npx

What it does

SDK Log Analysis is an agent skill from infometa/workbuddyskills. SDK 客户端日志分析 skill(带 Web 预览版)。用于本地 .clog/.xlog/文本日志的类型识别、二进制解码、TRTC/IM/TUI 客户端日志时间线解析,并提供本地日志 Web 预览服务。

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 73 other files, including scripts and reference files (for example `data/api/error-code.json`, `data/api/log-rule.json` and `data/api/timeline.json`).

The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.

Example prompts

  • “/sdk-log-analysis”

Requirements

  • Node.js

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. 本地日志入口快路径(先判类型,再分析)
  2. 数据源
  3. Clog decoder 策略
  4. 生成时间线
  5. 接口数据与参考文档
  6. 结论格式与安全输出
  7. Web 预览界面
  8. 禁止事项

What it can do on your machine

Read from SKILL.md and the folder at commit 75a5ad9. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 5 files in scripts/ (JavaScript, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • node
    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

SDK Log Analysis loads about 1.4k tokens when it runs, and up to ~20k if it reads all its reference files. Until then it costs about 30 tokens; SKILL.md has 303 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~30
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~20k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 303 words (~1,428 tokens).

“本 skill 专注客户端日志:本地 .clog/.xlog 二进制解码、本地 TRTC / IM / TUI 日志文件时间线解析。TUI 指 TUICallKit、TUIRoomKit、TUILiveKit、TUIRoomEngine 等上层 SDK。timeline.js 支持 TRTC / IM / TUI 自动识别。服务端事件回调、云端录制/混流/转推链路不在本 skill 范围内。”

— opening of SKILL.md by infometa
name
sdk-log-analysis
version
0.1.0
tags
trtc, log-analysis, clog, timeline
references
references/web-log-patterns.md, references/native-log-patterns.md, references/miniprogram-log-patterns.md, references/audio-troubleshooting.md

Read the full SKILL.md on GitHub

Files

SKILL.md and 68 other files (scripts, references) in experts/sdk-log-expert/skills/sdk-log-analysis of infometa/workbuddyskills.

  • SKILL.md
  • .gitignore
  • data/api/error-code.json
  • data/api/log-rule.json
  • data/api/timeline.json
  • package.json
  • references/README.md
  • references/audio-troubleshooting.md
  • references/miniprogram-log-patterns.md
  • references/native-log-patterns.md
  • references/web-log-patterns.md
  • scripts/analyze-local.js
  • scripts/evidence.js
  • scripts/lib/aho-corasick.js
  • scripts/lib/args.js
  • scripts/lib/decoder.js
  • … and 53 more

Open the folder on GitHubat commit 75a5ad9

Compare with similar skills

SDK Log Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

SDK Log Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
SDK Log Analysis this skillinfometa/workbuddyskills344—~1.4kAutomated safety check: PassNone
Growth Logaffaan-m/ECC275k1 repos~1.7kAutomated safety check: PassMIT
Clickhouse Logs Queriessupabase/supabase111k—~2.4kAutomated safety check: PassApache-2.0
Investigating LogsPostHog/posthog40k—~2.1kAutomated safety check: PassCustom licence
Logging and Error Reporting for Warpwarpdotdev/warp65k1 repos~5.6kAutomated safety check: PassAGPL-3.0
Analyze Logsactivepieces/activepieces25k1 repos~1.6kAutomated safety check: PassMIT

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Questions about SDK Log Analysis

What does SDK Log Analysis do?

SDK 客户端日志分析 skill(带 Web 预览版)。用于本地 .clog/.xlog/文本日志的类型识别、二进制解码、TRTC/IM/TUI 客户端日志时间线解析,并提供本地日志 Web 预览服务。. SDK Log Analysis is an agent skill from infometa/workbuddyskills.

How do I install SDK Log Analysis in Claude Code?

Run `npx skills add infometa/workbuddyskills --skill sdk-log-analysis -a claude-code`. Or copy the skill folder (experts/sdk-log-expert/skills/sdk-log-analysis in infometa/workbuddyskills) into .claude/skills/sdk-log-analysis in your project. Claude Code loads it when a task matches its description.

How do I install SDK Log Analysis in Codex?

Run `npx skills add infometa/workbuddyskills --skill sdk-log-analysis -a codex`. Or copy the skill folder (experts/sdk-log-expert/skills/sdk-log-analysis in infometa/workbuddyskills) into .agents/skills/sdk-log-analysis in your project. Codex loads it when a task matches its description.

Can I use SDK Log Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add infometa/workbuddyskills --skill sdk-log-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sdk-log-analysis, .gemini/skills/sdk-log-analysis, .github/skills/sdk-log-analysis and .opencode/skills/sdk-log-analysis in your project.

What does SDK Log Analysis need to run?

Going by SKILL.md and its folder, SDK Log Analysis needs JavaScript for the scripts in its folder and the command-line tools its instructions call (node and npx). Our summary lists: Node.js.

Does SDK Log Analysis access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is SDK Log Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does SDK Log Analysis use?

No licence was found for SDK Log Analysis or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does SDK Log Analysis use?

About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 18k tokens, read only when the agent opens those files.

What are the alternatives to SDK Log Analysis?

Skills that share tags, products or a category with SDK Log Analysis: Growth Log (affaan-m/ECC, 275k stars), Clickhouse Logs Queries (supabase/supabase, 111k stars), Investigating Logs (PostHog/posthog, 40k stars) and Logging and Error Reporting for Warp (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains SDK Log Analysis?

infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 344 GitHub stars. The repository holds 212 skills in this directory. The repository was last updated on October 7, 2026.

Source: infometa/workbuddyskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.