Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add bestagentkits/agency-skills --skill baoyu-electron-extractgit clone --depth 1 https://github.com/bestagentkits/agency-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/bestagentkits/agency-skills/baoyu-electron-extract)<a href="https://agentmods.dev/skills/bestagentkits/agency-skills/baoyu-electron-extract"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/baoyu-electron-extract/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/bestagentkits/agency-skills/baoyu-electron-extract"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/baoyu-electron-extract.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00113 | $0.02330 |
| Opus 5 | $0.00056 | $0.01165 |
| Sonnet 5 | $0.00023 | $0.00466 |
| Haiku 4.5 | $0.00011 | $0.00233 |
Grade A, and why
baoyu-electron-extract scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to baoyu-electron-extract — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Electron App Extract
Extracts resources and code from an installed Electron app's app.asar. When a .js.map is present, restores the original source files from the embedded sourcesContent; otherwise formats the minified code with Prettier. Source-map paths are resolved relative to the .js.map file first, so bundled paths like ../../src/main.ts restore to readable paths such as restored/src/main.ts instead of hashed placeholders. Always skips node_modules. Works on macOS and Windows.
User Input Tools
When this skill prompts the user, follow this tool-selection rule (priority order):
- Prefer built-in user-input tools exposed by the current agent runtime — e.g.,
AskUserQuestion,request_user_input,clarify,ask_user, or any equivalent. - Fallback: if no such tool exists, emit a numbered plain-text message and ask the user to reply with the chosen number/answer for each question.
- Batching: if the tool supports multiple questions per call, combine all applicable questions into a single call; if only single-question, ask them one at a time in priority order.
Concrete AskUserQuestion references below are examples — substitute the local equivalent in other runtimes.
Script Directory
Scripts in scripts/ subdirectory. {baseDir} = this SKILL.md's directory path. Resolve ${BUN_X} runtime: if bun installed → bun; if npx available → npx -y bun; else suggest installing bun. Replace {baseDir} and ${BUN_X} with actual values.
| Script | Purpose |
|---|---|
scripts/main.ts |
App discovery + asar extraction + source-map restoration + Prettier formatting |
When to use
Use this skill whenever the user wants to look inside an installed Electron application or inspect its bundled code. Trigger phrases include:
- "extract Electron app", "decompile this Electron app", "unpack app.asar"
- "show me the source of ", "look inside ", "how is built"
- "get the source code of Codex / Cursor / Discord / Slack / VS Code / Notion / Obsidian / ChatGPT desktop"
- "提取 Electron 应用", "看 的源码", "反编译 Electron", "解包 app.asar", "还原 source map"
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 141 lines · 113 tokens per session scan A 3f8714f3030d
baoyu-electron-extract is a skill published in the GitHub repository bestagentkits/agency-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 113 tokens to every session and 2,330 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to baoyu-electron-extract, differing in 0 lines, and is treated as a copy.
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