Competition Firmware Layout
SkillFiles & storageInternal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for firmware images, partition tables, boot chains, update packages, extracted filesystems, embedded configs, and device-facing trust boundaries. Use when the user asks to unpack firmware, map partition layout, inspect bootloader or init chains, recover update keys or credentials, trace config loading, or explain how a device surface reaches the decisive artifact. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.
Use Competition Firmware Layout in Claude, ChatGPT or Ahel Desktop
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Also: Claude Code · Cursor · Codex
Then ask your AI: use the Competition Firmware Layout skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by alicewe1/alice_skill in _modules/competition-firmware-layout/SKILL.md and read by Ahel’s review.
Use this skill only as a downstream specialization after $ctf-sandbox-orchestrator is already active and has established sandbox assumptions, node ownership, and evidence priorities. If that has not happened yet, return to $ctf-sandbox-orchestrator first.
Use this skill when the hard part is understanding how a firmware image is structured, booted, updated, and turned into reachable device behavior.
Reply in Simplified Chinese unless the user explicitly requests English.
Quick Start
- Preserve the original image, extracted partitions, unpacked filesystems, and patched copies as separate artifacts.
- Map outer container, partition table, bootloader, kernel, rootfs, config, and update metadata before editing anything.
- Track the boot or update chain in order instead of jumping straight to the most interesting file.
- Record keys, signatures, offsets, partition boundaries, and init entrypoints in one compact evidence chain.
- Reproduce the decisive secret, branch, or reachable service from the smallest extracted path.
Workflow
1. Establish Image Layout
- Identify container type, partition headers, compression, filesystem type, and any appended or nested images.
- Record offsets, sizes, hashes, mount points, and partition names before extraction mutates anything.
- Separate bootloader, kernel, initramfs, rootfs, config blobs, and update metadata as different layers.
2. Trace Boot Or Update Flow
- Map how control moves from bootloader to kernel to init to services, or from update package to verifier to installer.
- Note which credentials, certificates, passwords, seeds, or config files are consumed at each stage.
- Distinguish checked-in firmware intent from the live behavior the extracted files actually support.
3. Reduce To The Decisive Path
- Show the smallest chain from image boundary to service exposure, auth bypass, debug interface, credential recovery, or flag artifact.
- Keep extracted filesystems, derived configs, and patch experiments separate from pristine inputs.
- If the challenge becomes mostly about native crash behavior or exploit primitives after extraction, switch back to the broader reverse skill.
Read This Reference
- Load
references/firmware-layout.mdfor the layout checklist, boot-chain checklist, and evidence packaging.
What To Preserve
- Partition offsets, hashes, filesystem types, mount paths, boot entrypoints, and update metadata
- Extracted secrets, config paths, init scripts, service units, and credentials tied to the stage that consumes them
- Original images, extracted layers, mounted views, and patched copies as separate artifacts
Signals
- GitHub stars
- 36
- Forks
- 6
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
competition-firmware-layout- Source
- github.com/alicewe1/alice_skill
github.com/alicewe1/alice_skill