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ctf-misc

Miscellaneous CTF workflow.

Skill by OneSword-AI

IndexedMIT
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/onesword-ai-ctf-misc

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Miscellaneous CTF workflow. Use for puzzles, encodings, esolangs, QR/barcodes, protocol oddities, jail/sandbox tasks, game logic, math puzzles, constrained shell tasks, and challenges that do not fit Web/Pwn/Crypto/Reverse/Forensics.

Use cases: productivity, finance

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/ctf-misc

What's inside

Skill name
ctf-misc
Description
Miscellaneous CTF workflow. Use for puzzles, encodings, esolangs, QR/barcodes, protocol oddities, jail/sandbox tasks, game logic, math puzzles, constrained shell tasks, and challenges that do not fit Web/Pwn/Crypto/Reverse/Forensics.
License
MIT
Instructions
19 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • openai.yaml · agents/

SKILL.md (first lines)

# CTF Misc

## Workflow

1. Inventory all inputs: text, attachments, remote endpoints, prompts, transcripts, and hidden formatting.
2. Classify the puzzle type: encoding stack, protocol, jail, game, math, automation, or file trick.
3. Try reversible, evidence-backed transforms first: base encodings, compression, archive nesting, OCR/barcode decoding, and simple cipher checks.
4. For interactive tasks, model the protocol and automate only bounded interactions.
5. Escalate to another specialist when strong evidence points to Web, Crypto, Pwn, Reverse, or Forensics.

## Evidence Rules

Record each transform, command, input, output, and why the next step follows. Avoid long blind decoding chains without markers.

## Output

Return the classification, transform chain, candidate flags, tool outputs, and next actions for the most likely specialist or interaction path.

From OneSword-AI/CyberAgent, MIT.

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Last commit (this folder)
Aug 18, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

ctf-misc skill. Agent Mart. https://agentmart.dev/skills/onesword-ai-ctf-misc (last updated 2026-10-24)