CCM
/Skills
SkillsMCPMarketplacesDigestToolsAdvertise

This week in Claude

Every Monday: Claude Code, Agent SDK, MCP, and the Anthropic platform moves worth your time.

Skills by Category
Frontend DevelopmentBackend & APIsTesting & QASecurityDevOps & CI/CDGit & Pull RequestsDocumentationCode Review & QualityAI & Agent BuildingSkill Development
MCP Servers by Category
Sales & MarketingWeb & Browser AutomationDatabasesAI & LLM ToolsCloud & InfrastructureCommunication & MessagingDeveloper ToolsDesign & CreativeDocuments & KnowledgeSearch & Web Crawling
Marketplaces by Category
AI Agents & OrchestrationLLM IntegrationDevelopment ToolsFrontend & UIBackend & APIsDatabasesTesting & Code QualityDevOps & CloudSecurity & ComplianceGit & Version Control

Claude Code Marketplaces

Discover Claude Code plugins, extensions, and tools. Automatically updated directory of Anthropic Claude AI marketplaces with development tools, productivity plugins, and integrations.

Resources

  • Browse Skills
  • Browse MCP Servers
  • Browse Marketplaces
  • Skill index
  • MCP index
  • Marketplace index
  • Plugins Reference

Community

  • About
  • Tools
  • Feedback
  • Privacy Policy
  • Advertise

Built for the Claude Code community with Claude Code by mertbuilds.com

Independent project, not affiliated with Anthropic
ljagiello avatar

Ctf Writeup

ljagiello/ctf-skills
5.6k installs3k stars
Summary

Spits out a clean, submission-ready CTF writeup after you've solved a challenge. It scans your workspace for exploit scripts and artifacts, pulls together the timeline, then generates a markdown file using a tight template: challenge metadata, 1-3 short solution steps, and one complete solving script that goes from challenge data to flag. The format is optimized for speed during active competitions, so teammates or organizers can validate your solve without wading through dead ends or fragmented code snippets. It defaults to keeping the real flag unless you ask for redaction, checks for reproducibility, and keeps everything concise enough that you're not writing an essay when you should be moving to the next challenge.

Install to Claude Code

npx -y skills add ljagiello/ctf-skills --skill ctf-writeup --agent claude-code

Installs into .claude/skills of the current project.

CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
inference shell
inference shell
create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
Capacitor - Shared memory for your team’s coding agents.
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
inference shell
inference shell
create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
Capacitor - Shared memory for your team’s coding agents.
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Files
SKILL.mdView on GitHub

CTF Write-up Generator

Generate a standardized submission-style CTF writeup for a solved challenge.

Default behavior:

  • During an active competition, optimize for speed, clarity, and reproducibility
  • Keep writeups short enough that a teammate or organizer can validate the solve quickly
  • Always produce a submission-style writeup
  • Prefer one complete solve script from challenge data to final flag

Workflow

Step 1: Gather Information

Collect the following from the current session, challenge files, and user input:

  1. Challenge metadata — name, CTF event, category, difficulty, points, flag format
  2. Solution artifacts — exploit scripts, payloads, screenshots, command output
  3. Timeline — key steps taken, dead ends, pivots
# Scan for exploit scripts and artifacts
find . -name '*.py' -o -name '*.sh' -o -name 'exploit*' -o -name 'solve*' | head -20
# Check for flags in output files
grep -rniE '(flag|ctf|eno|htb|pico)\{' . 2>/dev/null

Step 2: Generate Write-up

Write the writeup file as writeup.md (or writeup-<challenge-name>.md) using the submission template below.


Templates

Submission Format

---
title: "<Challenge Name>"
ctf: "<CTF Event Name>"
date: YYYY-MM-DD
category: web|pwn|crypto|reverse|forensics|osint|malware|misc
difficulty: easy|medium|hard
points: <number>
flag_format: "flag{...}"
author: "<your name or team>"
---

# <Challenge Name>

## Summary

<1-2 sentences: what the challenge was and the core technique. Keep it direct.>

## Solution

### Step 1: <Action>

<Explain the key observation in 3-8 short lines. Keep it direct.>

\`\`\`python
<one complete solving script from provided challenge data to printing the final flag>
\`\`\`

### Step 2: <Action> (optional)

<Only add this when a second short step genuinely helps readability, such as separating the core observation from final verification.>

### Step 3: <Action> (optional)

<Use only if the challenge really needs it. Keep the total number of steps small.>

## Flag

\`\`\`
flag{example_flag_here}
\`\`\`

Guidance:

  • Prefer 1-3 short steps total
  • Keep code to the smallest complete solving script
  • Do not split "recover secret", "derive key", and "decrypt flag" into separate partial snippets
  • The script should start from the challenge data and end by printing the flag
  • Avoid long background sections
  • Avoid dead ends unless they explain a key pivot
  • Avoid multiple alternative solves; pick one clean path
  • Redact the flag only if the user explicitly asks for redaction

Best Practices Checklist

Before finalizing the writeup, verify:

  • Metadata complete — title, CTF, date, category, difficulty, points, author all filled
  • Flag handling matches request — keep the real flag unless the user asked for redaction
  • Reproducible steps — a reader can follow your writeup and reproduce the solution
  • Code is runnable — exploit scripts include all imports, correct variable names, and comments
  • No sensitive data — no real credentials, API keys, or private infrastructure details
  • Length stays concise — the writeup is short enough for fast review
  • Tools and versions noted — mention specific tool versions if behavior depends on them
  • Proper attribution — credit teammates, referenced writeups, or tools that were essential
  • Grammar and formatting — consistent heading levels, code blocks have language tags

Quality Guidelines

DO:

  • Explain just enough for fast verification
  • Include one complete solving path, not multiple alternative routes
  • Include one complete script that goes all the way to the final flag
  • Show actual output (truncated if very long) to prove the approach worked
  • Tag code blocks with language (python, bash, sql, etc.)
  • Keep the main path front-loaded so a reader can validate it quickly

DON'T:

  • Copy-paste raw terminal dumps without explanation
  • Paste several partial snippets that force the reader to reconstruct the final solve
  • Leave placeholder text in the final writeup
  • Include irrelevant tangents that don't contribute to the solution
  • Assume the reader knows the specific challenge setup

Challenge

$ARGUMENTS

Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
inference shell
inference shell
create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
Capacitor - Shared memory for your team’s coding agents.
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Categories
Git & Pull RequestsCode Review & Quality
First SeenApr 16, 2026
View on GitHub

More from ljagiello/ctf-skills

All 11 skills →
  • Ctf Ai Ml5.5k
  • Ctf Reverse7.6k
  • Ctf Web7.2k
  • Ctf Pwn7k
  • Ctf Osint6.8k
  • Ctf Crypto6.8k
  • Ctf Forensics6.7k
  • Solve Challenge6.6k
  • Ctf Misc6.6k
  • Ctf Malware6.4k

Recommended

More Git & Pull Requests →
phuryn avatar
strategy-red-team

phuryn/pm-skills

Red-team a PRD, roadmap, or strategy by attacking its load-bearing assumptions before reality does. Steelmans then attacks each claim, ranks failure modes by impact × likelihood × cheapness-to-test, and returns the cheapest test and kill criteria for each. Use when stress-testing a plan, pressure-testing a strategy, challenging assumptions, or preparing a doc for executive review.
5.6k
24.9k
aws avatar
aws-cdk

aws/agent-toolkit-for-aws

Authors, deploys, and troubleshoots AWS infrastructure using CDK with TypeScript or Python. Covers best practices, stack architecture, and construct patterns. Always use when writing CDK constructs, bootstrapping environments, running cdk deploy/synth/diff, fixing CDK or CloudFormation errors, planning stack structure, importing existing resources, resolving drift, or refactoring stacks without resource replacement.
5.6k
2.3k
imbad0202 avatar
academic-pipeline

imbad0202/academic-research-skills

Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow, 연구부터 논문까지, 연구 주제 설정부터 논문 완성까지, 논문 전체 워크플로.
5.5k
41.5k
superagent-ai avatar
skill-security

superagent-ai/skills

Audit an AI agent skill for security risks before installing or trusting it. Runs a deterministic scanner (regex patterns, Python AST analysis, source-to-sink taint tracking, and YARA signatures) and then reasons about intent — catching prompt injection, credential exfiltration, persistence, memory poisoning, malicious code, supply-chain risks, and description-vs-behavior mismatch. Make sure to use this skill whenever the user wants to scan, audit, vet, review, or check the safety of a skill, plugin, SKILL.md, or agent tool — whether it is a local folder, a zip/.skill file, or a cloned repo — and whenever someone asks "is this skill safe to install?".
5.4k
76
trailofbits avatar
agentic-actions-auditor

trailofbits/skills

Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches AI agents running in CI/CD pipelines, including env var intermediary patterns, direct expression injection, dangerous sandbox configurations, and wildcard user allowlists. Use when reviewing workflow files that invoke AI coding agents, auditing CI/CD pipeline security for prompt injection risks, or evaluating agentic action configurations.
5.4k
6.5k
trailofbits avatar
gh-cli

trailofbits/skills

Enforces authenticated gh CLI workflows over unauthenticated curl/WebFetch patterns. Use when working with GitHub URLs, API access, pull requests, or issues.
5.3k
6.5k