ctf-technique-atlas
Deep CTF technique atlas for mapping challenge clues to concrete attack patterns, tools, scripts, and next probes across Web, Crypto, Forensics, Reverse, Pwn…
Skill by Wang200935
Install
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/wang200935-ctf-technique-atlas
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
Use cases: ml, research, finance
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/ctf-technique-atlas
What's inside
- Skill name
ctf-technique-atlas- Description
- Deep CTF technique atlas for mapping challenge clues to concrete attack patterns, tools, scripts, and next probes across Web, Crypto, Forensics, Reverse, Pwn, Misc/Jail, OSINT, Mobile, Cloud, Blockchain, Hardware/RF/ICS, Game/Protocol, and AI/ML. Use when the user asks to strengthen CTF solving ability, research all CTF techniques, classify an unknown CTF challenge, or choose the next attack path.
- License
- MIT
- Metadata
- hermes_origin: import
- Instructions
- 91 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- files: referenced but missing: references/oscilloscope-bmp-analysis.md, references/scope-trace-bmp-stego.md, references/image-sequence-decoding.md
Files (7)
- SKILL.md
- first-probes.md · references/
- mastery-drills.md · references/
- solver-patterns.md · references/
- technique-matrix.md · references/
- tooling-map.md · references/
- ctf_router.py · scripts/
SKILL.md (first lines)
# CTF Technique Atlas ## Purpose Use this skill as the deep technique index when solving or training CTFs. It maps observable clues to likely vulnerabilities, probes, tools, and solver/exploit patterns. It complements the domain skills: load the matching domain skill after classification. ## Operating rule Do not only explain techniques. User wants practical CTF solving ability first, not mandatory boilerplate. For each challenge, create only the files/scripts needed to solve and verify the result; use full scaffolding only when the challenge is complex or the user asks for it. ## Minimal practical artifacts For each challenge or drill, prefer the lightest useful structure: ```text ~/ctf-training/<category>/<challenge>/ artifacts/ # original provided files, if any solve.py # or exploit.py / extract.py / interact.py as appropriate notes.md # short command log / key observations, only when useful ``` Do not spend time generating empty templates. The priority is: run probes, write a working solver/exploit/extractor, verify the flag, and preserve reusable lessons. ## Fast workflow 1. Inventory artifact/service/source and flag format. 2. Create minimal working files only if needed. 3. Match clues against `references/technique-matrix.md`. 4. Load the specific domain skill. 5. Run the first probes from `references/first-probes.md`. 6. Build and execute a solver/exploit/extractor from `references/solver-patterns.md`. 7. Verify flag and update skills if a reusable trick appears. ## Deep references - `references/technique-matrix.md` — category-by-category attack map and clue-to-technique routing. - `references/first-probes.md` — first commands/probes for each artifact type. - `references/solver-patterns.md` — reusable exploitation and solver script patterns. - `references/tooling-map.md` — practical tools by category and when to use them. - `references/mastery-drills.md` — progressive drills to strengthen each CTF family. - `references/oscilloscope-bmp-analysis.md` — multi-frame BMP time-series analysis workflow (NEW) - `references/scope-trace-bmp-stego.md` — encrypted tool + BMP sequence CTF pattern - `references/image-sequence-decoding.md` — decoding hidden messages from image sequences ## Scripts - `scripts/ctf_router.py` — lightweight text/artifact clue classifier that suggests likely CTF categories and first probes. ## 2025-2026 CTF Resource Quick Reference ### Key CTF Archives & Training Resources - **CTF Archives**: `github.com/sajjadium/ctf-archives` — comprehensive challenge archive (0CTF, HITCON, Google, SekaiCTF, etc.) - **Kernel-Exploit-Dojo**: `github.com/mito753/Kernel-Exploit-Dojo` — 100+ kernel CTF challenges with exploit code + writeups - **pyjail-collection**: `github.com/jailctf/pyjail-collection` — 113 pyjail challenges across 20+ CTFs - **how2heap**: `github.com/shellphish/how2heap` — updated for glibc 2.41/2.42 - **7Rocky/CTF-scripts**: `github.com/7Rocky/CTF-scripts` — SageMath/Python CTF solvers - **CTFtime**: `ctftime.org` — event calendar, writeups, team rankings - **CryptoHack**: `cryptohack.org` — interactive crypto challenges including lattice/PQ ### AI-Assisted CTF Tools - **IDA Pro MCP**: `github.com/mrexodia/ida-pro-mcp` — MCP server for IDA's decompiler - **GhidraMCP/ReVa**: `github.com/cyberkaida/reverse-engineering-assistant` — 110 tools for Ghidra via MCP - **OGhidra**: `github.com/LLNL/OGhidra` — AI-powered Ghidra with agentic loop + RAG - **angr + dAngr**: LLM-guided symbolic execution ### 2025-2026 New Exploitation Techniques Summary | Domain | Technique | CTF Example | Key Innovation | |--------|-----------|-------------|----------------| | Pwn | glibc 2.42 mp_ overwrite | snakeCTF 2025 old-school | tcache disable → fastbin dup → mp_ re-enable | | Pwn | AArch64 COOP + relative vtables | HITCON CTF 2025 calc | COOP only with legitimate .rodata vtables | | Kernel | modprobe_path AF_ALG bypass | Theori blog (2025) | request_module via AF_ALG bind() | | Kernel | Dirty Pipe / page cache | b01lers 2026 throughthewall | pipe_buffer reclaim → /etc/passwd | | Misc | Python 3.13 setattr jail | HITCON CTF 2025 simp | venv module import execution | | Misc | pickle/cpickle divergence | DiceCTF 2026 yaps | py3.15+ memo data structure difference | | Misc | numpy genfromtxt RCE | KalmarCTF 2025 Paper Viper | crafted CSV → arbitrary code execution | | Web | HTTP/2 request smuggling | TryHackMe 2026 | H2.TE, H2.CL, h2c downgrade attacks | | Web | React Server Components RCE | CVE-2025-55182 | unsafe deserialization in Flight protocol | | Crypto | Math.random prediction | Google CTF 2025 | state recovery from observed outputs | ## Maintenance standard A technique is considered learned only when Hermes can: - recognize the clue pattern; - run the right first probes; - produce a minimal solver/exploit/extractor; - explain the root cause or hidden signal; - verify the flag; - preserve the reusable pattern in a skill or script.
From Wang200935/security-agent-skills, MIT.
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Signals
- Stars
- 4
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Aug 12, 2026 (2 months ago)
- Last release
- Aug 13, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
ctf-technique-atlas skill. Agent Mart. https://agentmart.dev/skills/wang200935-ctf-technique-atlas (last updated 2026-10-24)