Agent skill

Serial Monitor

by LeoKemp223 in LeoKemp223/embed-ai-tool

“当需要识别正确串口、调用自带脚本抓取日志,并分析嵌入式固件运行状态时使用。”

— description from SKILL.md by LeoKemp223
No licenceAuto-check passedDevelopment

Install Serial Monitor

skills CLI
$ npx skills add LeoKemp223/embed-ai-tool --skill serial-monitor -a claude-code

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

GitHub CLI
$ gh skill install LeoKemp223/embed-ai-tool serial-monitor --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/LeoKemp223/embed-ai-tool.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/serial-monitor .claude/skills/serial-monitor && 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
serial-monitor
GitHub stars
991
Token cost
~447 tokens
SKILL.md length
105 words
Files
4 (incl. scripts, references)
Skills in repo
25
Repo updated
First seen
Licence
None found

At a glance

  • Works in 6 steps: 先阅读… → 运行自带脚本 scripts/serial_monitor.py。列出串口时使用… → 普通抓取使用 --duration,等待特定输出使用 --wait,持续监视使用… → …
  • SKILL.md covers 适用场景, 必要输入, 自动探测 and 执行步骤, plus 4 more sections
  • Runs Python scripts from its folder

About this skill

Serial Monitor is a skill in LeoKemp223/embed-ai-tool (991 stars). Its SKILL.md is about 447 tokens, with 3 other files in the folder (scripts, references). No licence found.

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. 先阅读 references/usage.md,确认本次是列表、抓取、等待字符串、持续监视,还是“先监听后复位”。
  2. 运行自带脚本 scripts/serial_monitor.py。列出串口时使用 --list,自动选择端口时使用 --auto。
  3. 普通抓取使用 --duration,等待特定输出使用 --wait,持续监视使用 --monitor --timestamp。
  4. 若担心错过早期启动日志,使用 --wait-reset;只有在 OpenOCD 配置已经明确时,才启用 --auto-reset。
  5. 读取脚本输出的分析结果,而不是只转述原始串口文本;重点关注错误、警告、启动标记和关键外设关键词。
  6. 将选中的串口、波特率、命令和日志结论写回 Project Profile,并在需要时交给下游 skill。

What it can do on your machine

Read from SKILL.md and the folder at commit 9218f23. 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 1 file in scripts/ (Python), which the agent can run.

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

  • Network

    No URLs in SKILL.md.

    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

Serial Monitor loads about 447 tokens when it runs, and up to ~2.4k if it reads all its reference files. Until then it costs about 13 tokens; SKILL.md has 105 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~13
When it runs · the whole SKILL.md, loaded when a task matches
~447
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.4k

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 105 words (~447 tokens).

name
serial-monitor

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (scripts, references) in skills/serial-monitor of LeoKemp223/embed-ai-tool.

  • SKILL.md
  • agents/openai.yaml
  • references/usage.md
  • scripts/serial_monitor.py

Open the folder on GitHubat commit 9218f23

Compare with similar skills

Serial Monitor 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.

Serial Monitor compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Serial Monitor this skillLeoKemp223/embed-ai-tool991—~447Automated safety check: PassNone
Vercel Composition Patternssupabase/supabase111k58 repos~726Automated safety check: PassMIT
Finishing a Development Branchobra/superpowers297k5 repos~1.9kAutomated safety check: PassMIT
Typescript Advanced Typesrolling-scopes/rsschool-app10k25 repos~4.2kAutomated safety check: PassMPL-2.0
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k4 repos~1.1kAutomated safety check: PassMIT

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Categories

Questions about Serial Monitor

How do I install Serial Monitor in Claude Code?

Run `npx skills add LeoKemp223/embed-ai-tool --skill serial-monitor -a claude-code`. Or copy the skill folder (skills/serial-monitor in LeoKemp223/embed-ai-tool) into .claude/skills/serial-monitor in your project. Claude Code loads it when a task matches its description.

How do I install Serial Monitor in Codex?

Run `npx skills add LeoKemp223/embed-ai-tool --skill serial-monitor -a codex`. Or copy the skill folder (skills/serial-monitor in LeoKemp223/embed-ai-tool) into .agents/skills/serial-monitor in your project. Codex loads it when a task matches its description.

Can I use Serial Monitor 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 LeoKemp223/embed-ai-tool --skill serial-monitor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/serial-monitor, .gemini/skills/serial-monitor, .github/skills/serial-monitor and .opencode/skills/serial-monitor in your project.

What does Serial Monitor need to run?

Going by SKILL.md and its folder, Serial Monitor needs Python for the scripts in its folder.

Does Serial Monitor access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Serial Monitor 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 Serial Monitor use?

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

How many tokens does Serial Monitor use?

About 447 tokens (SKILL.md is roughly 1.8k 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 2k tokens, read only when the agent opens those files.

What are the alternatives to Serial Monitor?

Skills that share tags, products or a category with Serial Monitor: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 297k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Serial Monitor?

LeoKemp223 (a GitHub user) maintains it in LeoKemp223/embed-ai-tool, which has 991 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on August 20, 2026.

Source: LeoKemp223/embed-ai-tool on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.