Agent skill

Electron Candidate Discovery

by SpecterOps in SpecterOps/skills

Find practical Electron apps that are likely patchable with the same Electron-plus-Squirrel method.

Apache-2.0Auto-check passed

Install Electron Candidate Discovery

skills CLI
$ npx skills add SpecterOps/skills --skill electron-candidate-discovery -a claude-code

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

GitHub CLI
$ gh skill install SpecterOps/skills electron-candidate-discovery --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/SpecterOps/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/payloads/skills/electron-candidate-discovery .claude/skills/electron-candidate-discovery && 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
electron-candidate-discovery
GitHub stars
702
Token cost
~287 tokens
SKILL.md length
112 words
Files
4 (incl. assets)
Skills in repo
38
Repo updated
First seen
Licence
Apache-2.0

At a glance

Find practical Electron apps that are likely patchable with the same Electron-plus-Squirrel method.

  • Building an actionable shortlist of candidate apps rather than a broad inventory
  • SKILL.md covers Goal, For Each Candidate Include, Selection Bias and Output
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Electron Candidate Discovery is an agent skill from SpecterOps/skills. Find practical Electron apps that are likely patchable with the same Electron-plus-Squirrel method. Use when building an actionable shortlist of candidate apps rather than a broad inventory.

Its SKILL.md is about 290 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including assets (for example `agents/openai.yaml`).

The repository describes itself as: A marketplace for LLM skills. The licence is Apache-2.0.

When your agent uses it

  • Building an actionable shortlist of candidate apps rather than a broad inventory

Example prompts

  • “/electron-candidate-discovery”

What it can do on your machine

Read from SKILL.md and the folder at commit e655f93. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Electron Candidate Discovery loads about 287 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 112 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~287

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from SpecterOps/skills at commit e655f93, republished under its Apache-2.0 licence (© SpecterOps). 112 words, ~287 tokens.

Download SKILL.mdSave it as .claude/skills/electron-candidate-discovery/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
electron-candidate-discovery
description
Find practical Electron apps that are likely patchable with the same Electron-plus-Squirrel method. Use when building an actionable shortlist of candidate apps rather than a broad inventory.
metadata.author
GhostWorks

Electron Candidate Discovery

Use this skill to identify practical Electron app candidates for the same patching and delivery method.

Goal

Return a ranked shortlist of realistic candidates, not a broad catalog.

For Each Candidate Include

  • app name
  • why it is practical
  • packaging shape
  • installer/update mechanism
  • whether it appears Squirrel-like or similarly patchable
  • likely main-process entrypoint location
  • obvious blockers or drawbacks

Selection Bias

Prioritize apps that are:

  • clearly Electron-based
  • locally patchable without bespoke tooling
  • packaged in a way that exposes entrypoints or repackable resources
  • delivered through Squirrel or a closely similar updater/install chain
  • realistic for user delivery and repeated rebuild workflows

Output

Return a ranked shortlist with concise, actionable reasoning for each entry.

© SpecterOps, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (assets) in plugins/payloads/skills/electron-candidate-discovery of SpecterOps/skills.

  • SKILL.md
  • agents/openai.yaml
  • assets/icon.png
  • assets/icon.svg

Open the folder on GitHubat commit e655f93

Compare with similar skills

Electron Candidate Discovery 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.

Electron Candidate Discovery compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Electron Candidate Discovery this skillSpecterOps/skills702—~287Automated safety check: PassApache-2.0
Desktop ElectronOpenHands/OpenHands90k—~302Automated safety check: PassMIT
Electron App Automationvercel-labs/agent-browser44k5 repos~1.7kAutomated safety check: PassApache-2.0
Electron Developmentdavila7/claude-code-templates32k3 repos~7kAutomated safety check: PassMIT
Mock Best Practicesthedaviddias/Front-End-Checklist74k—~425Automated safety check: PassMIT
Interactivity Best Practicesremotion-dev/remotion62k—~147Automated safety check: PassCustom licence

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  • Desktop Electron

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    90k GitHub stars~302 tokensUpdated yesterday
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  • Electron App Automation

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    Official

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    74k GitHub stars~425 tokensUpdated 2 days ago
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Questions about Electron Candidate Discovery

What does Electron Candidate Discovery do?

Find practical Electron apps that are likely patchable with the same Electron-plus-Squirrel method. Electron Candidate Discovery is an agent skill from SpecterOps/skills. Find practical Electron apps that are likely patchable with the same Electron-plus-Squirrel method.

When should I use Electron Candidate Discovery?

Electron Candidate Discovery fits situations like: building an actionable shortlist of candidate apps rather than a broad inventory.

How do I install Electron Candidate Discovery in Claude Code?

Run `npx skills add SpecterOps/skills --skill electron-candidate-discovery -a claude-code`. Or copy the skill folder (plugins/payloads/skills/electron-candidate-discovery in SpecterOps/skills) into .claude/skills/electron-candidate-discovery in your project. Claude Code loads it when a task matches its description.

How do I install Electron Candidate Discovery in Codex?

Run `npx skills add SpecterOps/skills --skill electron-candidate-discovery -a codex`. Or copy the skill folder (plugins/payloads/skills/electron-candidate-discovery in SpecterOps/skills) into .agents/skills/electron-candidate-discovery in your project. Codex loads it when a task matches its description.

Can I use Electron Candidate Discovery 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 SpecterOps/skills --skill electron-candidate-discovery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/electron-candidate-discovery, .gemini/skills/electron-candidate-discovery, .github/skills/electron-candidate-discovery and .opencode/skills/electron-candidate-discovery in your project.

What does Electron Candidate Discovery need to run?

SKILL.md names no scripts, command-line tools or credentials: Electron Candidate Discovery is instructions for the agent only.

Does Electron Candidate Discovery 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 Electron Candidate Discovery 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. Review the folder before installing.

What licence does Electron Candidate Discovery use?

Electron Candidate Discovery is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Electron Candidate Discovery use?

About 287 tokens (SKILL.md is roughly 1.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Electron Candidate Discovery?

Skills that share tags, products or a category with Electron Candidate Discovery: Desktop Electron (OpenHands/OpenHands, 90k stars), Electron App Automation (vercel-labs/agent-browser, 44k stars), Electron Development (davila7/claude-code-templates, 32k stars) and Mock Best Practices (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Electron Candidate Discovery?

SpecterOps (a GitHub organization) maintains it in SpecterOps/skills, which has 702 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on September 23, 2026.

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