Creator · zhaoxuya520
Last updated · Sep 1, 2026
Internal 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
Creator · zhaoxuya520
Last updated · Sep 1, 2026
Internal 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
Creator · zhaoxuya520
Last updated · Sep 1, 2026
Internal 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
Creator · zhaoxuya520
Last updated · Sep 1, 2026
Internal 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
Review then install
Install targets
Codex install prompt
Install the "competition-firmware-layout" agent skill from https://github.com/zhaoxuya520/reverse-skill/tree/main/CTF-Sandbox-Orchestrator/competition-firmware-layout. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Internal 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"zhaoxuya520-competition-firmware-layout","task":"Install competition-firmware-layout","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add zhaoxuya520/reverse-skill --skill competition-firmware-layout
Maintenance
fresh
8d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
34K
92/100 Quality · 84/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
34K GitHub stars
Repo activity
34K stars, 4.6K forks
Maintenance
8d since push
License
MIT
Install
npx skills add zhaoxuya520/reverse-skill --skill competition-firmware-layout
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add zhaoxuya520/reverse-skill --skill competition-firmware-layoutDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20competition-firmware-layout%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20competition-firmware-layout%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/zhaoxuya520-competition-firmware-layout/install
Agent should check
Copy prompt
Task: Use competition-firmware-layout in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20competition-firmware-layout%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/zhaoxuya520-competition-firmware-layout/install
Install command: npx skills add zhaoxuya520/reverse-skill --skill competition-firmware-layout
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/zhaoxuya520-competition-firmware-layout/install
LLM text format
/api/skills/zhaoxuya520-competition-firmware-layout/install?format=text
Find alternatives
/api/skills/search?q=competition-firmware-layout&limit=3
Agent prompt
Use competition-firmware-layout for this task. Review https://www.openagentskill.com/api/skills/zhaoxuya520-competition-firmware-layout/install, then install with: npx skills add zhaoxuya520/reverse-skill --skill competition-firmware-layoutRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/zhaoxuya520-competition-firmware-layout
LLM text
/api/registry/manifest/zhaoxuya520-competition-firmware-layout?format=text
Install alias
/api/registry/install/zhaoxuya520-competition-firmware-layout
Recommend
/api/registry/recommend?task=Use%20competition-firmware-layout%20in%20an%20agent%20workflow&limit=3
Agent fit
Local desktop
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Local desktop
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS34K GitHub stars
Stars/forks activity
PASS34K stars, 4.6K forks; issue activity unavailable in current metadata
Recent maintenance
PASS8d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A relentless interview to sharpen a plan or design.
--- name: competition-firmware-layout description: Internal 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. ---
# Competition Firmware Layout
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
1. Preserve the original image, extracted partitions, unpacked filesystems, and patched copies as separate artifacts. 2. Map outer container, partition table, bootloader, kernel, rootfs, config, and update metadata before editing anything. 3. Track the boot or update chain in order instead of jumping straight to the most interesting file. 4. Record keys, signatures, offsets, partition boundaries, and init entrypoints in one compact evidence chain. 5. 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.md` for 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
Source provenance
Decision snapshot
33,704 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for competition-firmware-layout, ready for a manual X post.
competition-firmware-layout: Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for firmware ima... 33.7K stars https://www.openagentskill.com/skills/zhaoxuya520-competition-firmware-layout?ref=x
Listing + install path for competition-firmware-layout: https://www.openagentskill.com/skills/zhaoxuya520-competition-firmware-layout?ref=x Install: npx skills add zhaoxuya520/reverse-skill --skill competition-firmware-layout
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to zhaoxuya520 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/zhaoxuya520-competition-firmware-layout?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/zhaoxuya520-competition-firmware-layout?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/zhaoxuya520-competition-firmware-layout/audit)
[](https://www.openagentskill.com/skills/zhaoxuya520-competition-firmware-layout?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)zhaoxuya520
@zhaoxuya520
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K StarsReview then install
Install targets
Codex install prompt
Install the "competition-firmware-layout" agent skill from https://github.com/zhaoxuya520/reverse-skill/tree/main/CTF-Sandbox-Orchestrator/competition-firmware-layout. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Internal 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"zhaoxuya520-competition-firmware-layout","task":"Install competition-firmware-layout","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add zhaoxuya520/reverse-skill --skill competition-firmware-layout
Maintenance
fresh
8d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
34K
92/100 Quality · 84/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
34K GitHub stars
Repo activity
34K stars, 4.6K forks
Maintenance
8d since push
License
MIT
Install
npx skills add zhaoxuya520/reverse-skill --skill competition-firmware-layout
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add zhaoxuya520/reverse-skill --skill competition-firmware-layoutDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20competition-firmware-layout%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20competition-firmware-layout%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/zhaoxuya520-competition-firmware-layout/install
Agent should check
Copy prompt
Task: Use competition-firmware-layout in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20competition-firmware-layout%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/zhaoxuya520-competition-firmware-layout/install
Install command: npx skills add zhaoxuya520/reverse-skill --skill competition-firmware-layout
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/zhaoxuya520-competition-firmware-layout/install
LLM text format
/api/skills/zhaoxuya520-competition-firmware-layout/install?format=text
Find alternatives
/api/skills/search?q=competition-firmware-layout&limit=3
Agent prompt
Use competition-firmware-layout for this task. Review https://www.openagentskill.com/api/skills/zhaoxuya520-competition-firmware-layout/install, then install with: npx skills add zhaoxuya520/reverse-skill --skill competition-firmware-layoutRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/zhaoxuya520-competition-firmware-layout
LLM text
/api/registry/manifest/zhaoxuya520-competition-firmware-layout?format=text
Install alias
/api/registry/install/zhaoxuya520-competition-firmware-layout
Recommend
/api/registry/recommend?task=Use%20competition-firmware-layout%20in%20an%20agent%20workflow&limit=3
Agent fit
Local desktop
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Local desktop
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS34K GitHub stars
Stars/forks activity
PASS34K stars, 4.6K forks; issue activity unavailable in current metadata
Recent maintenance
PASS8d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A relentless interview to sharpen a plan or design.
--- name: competition-firmware-layout description: Internal 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. ---
# Competition Firmware Layout
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
1. Preserve the original image, extracted partitions, unpacked filesystems, and patched copies as separate artifacts. 2. Map outer container, partition table, bootloader, kernel, rootfs, config, and update metadata before editing anything. 3. Track the boot or update chain in order instead of jumping straight to the most interesting file. 4. Record keys, signatures, offsets, partition boundaries, and init entrypoints in one compact evidence chain. 5. 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.md` for 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
Source provenance
Decision snapshot
33,704 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for competition-firmware-layout, ready for a manual X post.
competition-firmware-layout: Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for firmware ima... 33.7K stars https://www.openagentskill.com/skills/zhaoxuya520-competition-firmware-layout?ref=x
Listing + install path for competition-firmware-layout: https://www.openagentskill.com/skills/zhaoxuya520-competition-firmware-layout?ref=x Install: npx skills add zhaoxuya520/reverse-skill --skill competition-firmware-layout
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to zhaoxuya520 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/zhaoxuya520-competition-firmware-layout?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/zhaoxuya520-competition-firmware-layout?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/zhaoxuya520-competition-firmware-layout/audit)
[](https://www.openagentskill.com/skills/zhaoxuya520-competition-firmware-layout?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)zhaoxuya520
@zhaoxuya520
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K StarsReview then install
Install targets
Codex install prompt
Install the "competition-firmware-layout" agent skill from https://github.com/zhaoxuya520/reverse-skill/tree/main/CTF-Sandbox-Orchestrator/competition-firmware-layout. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Internal 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"zhaoxuya520-competition-firmware-layout","task":"Install competition-firmware-layout","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add zhaoxuya520/reverse-skill --skill competition-firmware-layout
Maintenance
fresh
8d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
34K
92/100 Quality · 84/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
34K GitHub stars
Repo activity
34K stars, 4.6K forks
Maintenance
8d since push
License
MIT
Install
npx skills add zhaoxuya520/reverse-skill --skill competition-firmware-layout
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add zhaoxuya520/reverse-skill --skill competition-firmware-layoutDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20competition-firmware-layout%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20competition-firmware-layout%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/zhaoxuya520-competition-firmware-layout/install
Agent should check
Copy prompt
Task: Use competition-firmware-layout in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20competition-firmware-layout%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/zhaoxuya520-competition-firmware-layout/install
Install command: npx skills add zhaoxuya520/reverse-skill --skill competition-firmware-layout
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/zhaoxuya520-competition-firmware-layout/install
LLM text format
/api/skills/zhaoxuya520-competition-firmware-layout/install?format=text
Find alternatives
/api/skills/search?q=competition-firmware-layout&limit=3
Agent prompt
Use competition-firmware-layout for this task. Review https://www.openagentskill.com/api/skills/zhaoxuya520-competition-firmware-layout/install, then install with: npx skills add zhaoxuya520/reverse-skill --skill competition-firmware-layoutRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/zhaoxuya520-competition-firmware-layout
LLM text
/api/registry/manifest/zhaoxuya520-competition-firmware-layout?format=text
Install alias
/api/registry/install/zhaoxuya520-competition-firmware-layout
Recommend
/api/registry/recommend?task=Use%20competition-firmware-layout%20in%20an%20agent%20workflow&limit=3
Agent fit
Local desktop
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Local desktop
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS34K GitHub stars
Stars/forks activity
PASS34K stars, 4.6K forks; issue activity unavailable in current metadata
Recent maintenance
PASS8d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A relentless interview to sharpen a plan or design.
--- name: competition-firmware-layout description: Internal 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. ---
# Competition Firmware Layout
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
1. Preserve the original image, extracted partitions, unpacked filesystems, and patched copies as separate artifacts. 2. Map outer container, partition table, bootloader, kernel, rootfs, config, and update metadata before editing anything. 3. Track the boot or update chain in order instead of jumping straight to the most interesting file. 4. Record keys, signatures, offsets, partition boundaries, and init entrypoints in one compact evidence chain. 5. 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.md` for 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
Source provenance
Decision snapshot
33,704 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for competition-firmware-layout, ready for a manual X post.
competition-firmware-layout: Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for firmware ima... 33.7K stars https://www.openagentskill.com/skills/zhaoxuya520-competition-firmware-layout?ref=x
Listing + install path for competition-firmware-layout: https://www.openagentskill.com/skills/zhaoxuya520-competition-firmware-layout?ref=x Install: npx skills add zhaoxuya520/reverse-skill --skill competition-firmware-layout
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to zhaoxuya520 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/zhaoxuya520-competition-firmware-layout?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/zhaoxuya520-competition-firmware-layout?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/zhaoxuya520-competition-firmware-layout/audit)
[](https://www.openagentskill.com/skills/zhaoxuya520-competition-firmware-layout?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)zhaoxuya520
@zhaoxuya520
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K StarsReview then install
Install targets
Codex install prompt
Install the "competition-firmware-layout" agent skill from https://github.com/zhaoxuya520/reverse-skill/tree/main/CTF-Sandbox-Orchestrator/competition-firmware-layout. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Internal 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"zhaoxuya520-competition-firmware-layout","task":"Install competition-firmware-layout","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add zhaoxuya520/reverse-skill --skill competition-firmware-layout
Maintenance
fresh
8d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
34K
92/100 Quality · 84/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
34K GitHub stars
Repo activity
34K stars, 4.6K forks
Maintenance
8d since push
License
MIT
Install
npx skills add zhaoxuya520/reverse-skill --skill competition-firmware-layout
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add zhaoxuya520/reverse-skill --skill competition-firmware-layoutDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20competition-firmware-layout%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20competition-firmware-layout%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/zhaoxuya520-competition-firmware-layout/install
Agent should check
Copy prompt
Task: Use competition-firmware-layout in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20competition-firmware-layout%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/zhaoxuya520-competition-firmware-layout/install
Install command: npx skills add zhaoxuya520/reverse-skill --skill competition-firmware-layout
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/zhaoxuya520-competition-firmware-layout/install
LLM text format
/api/skills/zhaoxuya520-competition-firmware-layout/install?format=text
Find alternatives
/api/skills/search?q=competition-firmware-layout&limit=3
Agent prompt
Use competition-firmware-layout for this task. Review https://www.openagentskill.com/api/skills/zhaoxuya520-competition-firmware-layout/install, then install with: npx skills add zhaoxuya520/reverse-skill --skill competition-firmware-layoutRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/zhaoxuya520-competition-firmware-layout
LLM text
/api/registry/manifest/zhaoxuya520-competition-firmware-layout?format=text
Install alias
/api/registry/install/zhaoxuya520-competition-firmware-layout
Recommend
/api/registry/recommend?task=Use%20competition-firmware-layout%20in%20an%20agent%20workflow&limit=3
Agent fit
Local desktop
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Local desktop
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS34K GitHub stars
Stars/forks activity
PASS34K stars, 4.6K forks; issue activity unavailable in current metadata
Recent maintenance
PASS8d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A relentless interview to sharpen a plan or design.
--- name: competition-firmware-layout description: Internal 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. ---
# Competition Firmware Layout
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
1. Preserve the original image, extracted partitions, unpacked filesystems, and patched copies as separate artifacts. 2. Map outer container, partition table, bootloader, kernel, rootfs, config, and update metadata before editing anything. 3. Track the boot or update chain in order instead of jumping straight to the most interesting file. 4. Record keys, signatures, offsets, partition boundaries, and init entrypoints in one compact evidence chain. 5. 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.md` for 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
Source provenance
Decision snapshot
33,704 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for competition-firmware-layout, ready for a manual X post.
competition-firmware-layout: Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for firmware ima... 33.7K stars https://www.openagentskill.com/skills/zhaoxuya520-competition-firmware-layout?ref=x
Listing + install path for competition-firmware-layout: https://www.openagentskill.com/skills/zhaoxuya520-competition-firmware-layout?ref=x Install: npx skills add zhaoxuya520/reverse-skill --skill competition-firmware-layout
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to zhaoxuya520 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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[](https://www.openagentskill.com/skills/zhaoxuya520-competition-firmware-layout/audit)
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@zhaoxuya520
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Review then install
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K StarsPermission surface
secrets or environment access, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness