Web3 Smart Contract Audit
awarexone/Agentic-Bug-Hunter
Guides smart contract audits and bounty target selection with ten DeFi bug classes, kill signals, a Foundry PoC template and grep patterns.
Reconnaissance and methodology playbook. An agent skill from langbyyi/CyberStrikeAI-SRC.
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add langbyyi/CyberStrikeAI-SRC --skill recon-and-methodology -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install langbyyi/CyberStrikeAI-SRC recon-and-methodology --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/langbyyi/CyberStrikeAI-SRC.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/recon-and-methodology .claude/skills/recon-and-methodology && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "recon-and-methodology" agent skill from https://github.com/langbyyi/CyberStrikeAI-SRC/tree/master/skills/recon-and-methodology into .claude/skills/recon-and-methodology/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recon-and-methodology", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/langbyyi/CyberStrikeAI-SRC/tree/master/skills/recon-and-methodologyType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add langbyyi/CyberStrikeAI-SRC --skill recon-and-methodology -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install langbyyi/CyberStrikeAI-SRC recon-and-methodology --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langbyyi/CyberStrikeAI-SRC.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/recon-and-methodology .agents/skills/recon-and-methodology && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "recon-and-methodology" agent skill from https://github.com/langbyyi/CyberStrikeAI-SRC/tree/master/skills/recon-and-methodology into .agents/skills/recon-and-methodology/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recon-and-methodology", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add langbyyi/CyberStrikeAI-SRC --skill recon-and-methodology -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install langbyyi/CyberStrikeAI-SRC recon-and-methodology --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langbyyi/CyberStrikeAI-SRC.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/recon-and-methodology .cursor/skills/recon-and-methodology && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "recon-and-methodology" agent skill from https://github.com/langbyyi/CyberStrikeAI-SRC/tree/master/skills/recon-and-methodology into .cursor/skills/recon-and-methodology/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recon-and-methodology", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/langbyyi/CyberStrikeAI-SRC.git --path skills/recon-and-methodology--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add langbyyi/CyberStrikeAI-SRC --skill recon-and-methodology -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install langbyyi/CyberStrikeAI-SRC recon-and-methodology --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langbyyi/CyberStrikeAI-SRC.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/recon-and-methodology .gemini/skills/recon-and-methodology && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "recon-and-methodology" agent skill from https://github.com/langbyyi/CyberStrikeAI-SRC/tree/master/skills/recon-and-methodology into .gemini/skills/recon-and-methodology/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recon-and-methodology", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install langbyyi/CyberStrikeAI-SRC recon-and-methodologyInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add langbyyi/CyberStrikeAI-SRC --skill recon-and-methodology -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/langbyyi/CyberStrikeAI-SRC.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/recon-and-methodology .github/skills/recon-and-methodology && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "recon-and-methodology" agent skill from https://github.com/langbyyi/CyberStrikeAI-SRC/tree/master/skills/recon-and-methodology into .github/skills/recon-and-methodology/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recon-and-methodology", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add langbyyi/CyberStrikeAI-SRC --skill recon-and-methodology -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install langbyyi/CyberStrikeAI-SRC recon-and-methodology --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langbyyi/CyberStrikeAI-SRC.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/recon-and-methodology .opencode/skills/recon-and-methodology && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "recon-and-methodology" agent skill from https://github.com/langbyyi/CyberStrikeAI-SRC/tree/master/skills/recon-and-methodology into .opencode/skills/recon-and-methodology/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recon-and-methodology", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
recon-and-methodologyReconnaissance and methodology playbook. An agent skill from langbyyi/CyberStrikeAI-SRC.
Recon And Methodology is an agent skill from langbyyi/CyberStrikeAI-SRC. Reconnaissance and methodology playbook. Use when mapping assets, discovering endpoints, fingerprinting technology, and building a structured testing plan for a new target.
Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Security, covering Bug bounty. The licence is Apache-2.0.
12 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 166ee1c. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
curljqpython3gitleaksFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
crt.shsecuritytrails.comgithub.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Recon And Methodology loads about 3.1k tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 390 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found patterns that need a careful read before installing.
# site:github.com "target.com" ".env" OR "config.php" OR "db_password"https://target.com/.env□ .env exposed: curl https://target.com/.env/.env /.env.bak /.env.production/.aws/credentials → AWS credentials/.docker/config.json → Docker registry authAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from langbyyi/CyberStrikeAI-SRC at commit 166ee1c, republished under its Apache-2.0 licence (© langbyyi). 390 words, ~3,125 tokens.
.claude/skills/recon-and-methodology/SKILL.md (or your agent's skills folder).AI LOAD INSTRUCTION: Systematic recon and bug-finding methodology from top bug hunters. Covers subdomain enumeration, endpoint discovery, tech fingerprinting, and the hunter's mental model for finding bugs that others miss. Key insight: most high-severity bugs are found through systematic coverage, not just clever payloads.
Target Selection
└── Scope Definition (in-scope assets)
└── Asset Discovery (subdomains, IPs, domains)
└── Tech Fingerprinting (what's running)
└── Endpoint Discovery (attack surface)
└── Vulnerability Testing (per vulnerability type)# Subfinder (aggregates multiple sources):
subfinder -d target.com -o subdomains.txt
# Amass passive:
amass enum -passive -d target.com
# Certsh (certificate transparency):
curl -s "https://crt.sh/?q=%.target.com&output=json" | jq -r '.[].name_value' | sort -u
# SecurityTrails API, Shodan:
# Web: https://securitytrails.com/list/apex_domain/target.com# Massdns + wordlist:
massdns -r /path/to/resolvers.txt -t A -o S -w output.txt \
<(cat wordlist.txt | sed 's/$/.target.com/')
# ffuf for subdomain brute:
ffuf -w subdomains-wordlist.txt -u https://FUZZ.target.com \
-mc 200,301,302,403 -H "Host: FUZZ.target.com"
# DNSx for bulk resolution:
cat subdomains.txt | dnsx -a -resp -o resolved.txt
# Recommended wordlist: SecLists/Discovery/DNS/# ffuf vhost mode:
ffuf -w wordlist.txt -u https://target.com \
-H "Host: FUZZ.target.com" -mc 200,301,403
# gobuster vhost:
gobuster vhost -u https://target.com -w wordlist.txt# Fast port scan (common ports):
nmap -T4 -F target.com -oN ports.txt
# Comprehensive scan on resolved subdomains:
cat resolved_ips.txt | nmap -iL - --open -p 80,443,8080,8443,8888,3000,5000 -oG scan.txt
# httpx for HTTP probing:
cat subdomains.txt | httpx -title -tech-detect -status-code -o live_hosts.txt
# masscan for speed on large IP ranges:
masscan -p 80,443,8080,8443 10.0.0.0/8 --rate=1000# Wappalyzer (browser extension) or:
whatweb https://target.com
# httpx with tech detection:
httpx -u https://target.com -tech-detect
# Check headers manually:
curl -sI https://target.com | grep -i "server\|x-powered-by\|x-generator\|cf-ray"
# Fingerprint from:
- Server header: nginx/1.18, Apache/2.4, IIS/10.0
- X-Powered-By: PHP/7.4, ASP.NET
- Cookies: PHPSESSID (PHP), JSESSIONID (Java), _rails_session (Rails)
- HTML comments: <!-- Drupal 9 -->
- Meta generator: <meta name="generator" content="WordPress 6.2">
- JS framework files: /static/js/angular.min.js# ffuf (fastest):
ffuf -u https://target.com/FUZZ -w /usr/share/seclists/Discovery/Web-Content/raft-medium-files.txt \
-mc 200,301,302,403 -t 50 -o dirs.txt
# Gobuster:
gobuster dir -u https://target.com -w wordlist.txt -x php,html,js,json
# feroxbuster (recursive):
feroxbuster -u https://target.com -w wordlist.txt -x php,html,txt -r# Arjun (hidden parameter finder):
arjun -u https://target.com/api/endpoint
# x8:
x8 -u https://target.com/api/endpoint -w params-wordlist.txt# Extract endpoints from JS files:
gau target.com | grep '\.js$' | httpx -mc 200 | xargs -I{} curl -s {} | \
grep -oE '"/[a-zA-Z0-9/_-]+"' | sort -u
# LinkFinder:
python3 linkfinder.py -i https://target.com -d -o output.html
# GetAllURLs (gau):
gau target.com | sort -u > all_urls.txt
# Wayback URLs:
waybackurls target.com | sort -u > wayback_urls.txt# Common API paths:
ffuf -u https://target.com/FUZZ -w /SecLists/Discovery/Web-Content/api/api-endpoints.txt
# Swagger/OpenAPI:
test: /swagger.json /api-docs /openapi.json /v2/api-docs /.well-known/ /docs/
# GraphQL:
test: /graphql /gql /v1/graphql /api/graphql# trufflehog (secret scanner in git history):
trufflehog git https://github.com/target-org/target-repo
# gitleaks:
gitleaks detect --source /path/to/cloned/repo
# Manual GitHub search:
# site:github.com "target.com" "api_key" OR "secret" OR "password"
# site:github.com "target.com" ".env" OR "config.php" OR "db_password"
# GitHub dorks:
# "target.com" extension:env
# "target.com" filename:*.config password
# org:target-org secret OR password OR apikey# Check common paths:
https://target.com/.env
https://target.com/.git/config
https://target.com/config.json
https://target.com/config.yaml
https://target.com/credentials.json
https://target.com/secrets.json
https://target.com/wp-config.php
https://target.com/backup.sql
https://target.com/backup.zipFor each input point:
1. Non-malicious HTML tags (<h2>, <img>) → are they reflected?
2. Incomplete tags → what happens? (<iframe src=//evil.com )
3. Encoding tests → %0d, %0a, %09, <%00
4. Observe the OUTPUT too (not just response) — where does your input appear?
5. Test same input in ALL similarly-structured pages (shared code → shared vuln)
6. Check if the same parameter exists in mobile/API endpoint (less protected)- Each parameter tells a story: "what does this do server-side?"
- Filename → OS interaction → Path Traversal / CMDi
- URL/location → HTTP fetch → SSRF
- Template/HTML parameter → render function → SSTI
- XML field → parser → XXE
- SQL filter → query → SQLi
- User-content → storage → Stored XSS✓ Programs with large scope (*.target.com)
✓ Programs that pay for P2/P3 (not just RCE)
✓ Programs with recent tech changes (migrations = new bugs)
✓ Programs with active development (new features = new attack surface)
× Avoid: frozen/old codebases with well-known CVEs (already claimed)
× Avoid: strict programs with narrow scope (less surface)Priority 1: Authentication, password reset, 2FA → account takeover
Priority 2: File upload, profile edit, API endpoints → stored XSS, IDOR
Priority 3: Admin panels, user management → BFLA, privilege escalation
Priority 4: Payment flows, subscription → business logic
Priority 5: Import/export, template rendering → XXE, SSTI# Run all on target:
nuclei -u https://target.com -t /nuclei-templates/ -o nuclei-results.txt
# Specific categories:
nuclei -u https://target.com -t cves/ -severity critical,high
nuclei -u https://target.com -t exposures/
nuclei -u https://target.com -t misconfiguration/
# On subdomain list:
cat subdomains.txt | nuclei -t exposures/ -t misconfiguration/ -o exposed.txt□ CORS: Access-Control-Allow-Origin: * with credentials → CSRF + data theft
□ S3 bucket public: curl https://target.s3.amazonaws.com/
□ Directory listing: response contains "Index of /"
□ .git exposed: curl https://target.com/.git/config
□ .env exposed: curl https://target.com/.env
□ Debug mode: stack traces in production (source code exposure)
□ Default credentials: admin:admin, admin:password on admin panels
□ phpinfo.php: curl https://target.com/phpinfo.php
□ Backup files: config.bak, database.sql.gz, app.zip
□ GraphQL introspection enabled: POST /graphql {"query":"{__schema{types{name}}}"}
□ Admin panels: /admin /manager /console /phpmyadmin /wp-admin| Category | Tool |
|---|---|
| Subdomain enum | subfinder, amass, massdns |
| Port scan | nmap, masscan |
| HTTP probe | httpx |
| Dir brute | ffuf, feroxbuster, gobuster |
| JS mining | LinkFinder, gau, waybackurls |
| Secret scan | trufflehog, gitleaks |
| Parameter fuzz | arjun, x8 |
| Vuln scan | nuclei |
| Proxy/intercept | Burp Suite Pro |
| JWT attacks | jwt_tool |
| SQLi | sqlmap |
| XSS | dalfox, XSStrike |
| SSRF | SSRFmap, Gopherus |
| Middleware | Detection Path | Key Indicators |
|---|---|---|
| Apache Tomcat | /manager/html, /manager/status | Default creds: tomcat:tomcat, admin:admin |
| JBoss / WildFly | /jmx-console/, /web-console/ | JMX MBean access, WAR deployment |
| WebLogic | /console/, /wls-wsat/ | T3 protocol on 7001/7002, IIOP |
| Spring Boot Actuator | /actuator/, /actuator/env, /actuator/heapdump | JSON endpoint listing, heap dump contains secrets |
| Spring Boot (alt paths) | /actuator/jolokia, /actuator/gateway/routes | Jolokia JMX bridge, Gateway route injection |
| Jenkins | /script, /manage | Groovy console, API token in cookie |
| GlassFish | /common/, /theme/ | Admin on 4848, default empty password |
| Jetty | /jolokia/ | JMX access |
| Resin | /resin-admin/ | Admin panel |
/actuator/env → Leak environment variables (DB creds, API keys)
/actuator/heapdump → Download JVM heap → search for passwords in memory
/actuator/jolokia → JMX → possible RCE via MBean manipulation
/actuator/gateway/routes → Spring Cloud Gateway → SpEL injection (CVE-2022-22947)
/actuator/configprops → All configuration properties
/actuator/mappings → All URL mappings (hidden endpoints)
/actuator/beans → All Spring beans
/actuator/shutdown → POST to shutdown application (DoS)/.git/HEAD → Git repository exposed
/.svn/entries → SVN metadata
/.svn/wc.db → SVN SQLite database
/.hg/requires → Mercurial
/.bzr/README → Bazaar
/.DS_Store → macOS directory listing/backup.zip /backup.tar.gz /backup.sql
/wwwroot.rar /www.zip /web.zip
/db.sql /database.sql /dump.sql
/config.php.bak /config.php~ /config.php.swp
/.config.php.swp /wp-config.php.bak
/.env /.env.bak /.env.production/swagger-ui.html → Swagger/OpenAPI
/swagger-ui/ → Swagger UI
/api-docs → API documentation
/graphql → GraphQL playground
/graphiql → GraphQL IDE
/debug/ → Debug endpoints
/phpinfo.php → PHP configuration
/server-status → Apache status
/server-info → Apache info
/nginx_status → Nginx status/.aws/credentials → AWS credentials
/.docker/config.json → Docker registry auth
/robots.txt → Disallowed paths (hint list)
/sitemap.xml → Full URL listing
/crossdomain.xml → Flash cross-domain policy
/.well-known/ → Various well-known URIs© langbyyi, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/recon-and-methodology of langbyyi/CyberStrikeAI-SRC.
Open the folder on GitHubat commit 166ee1c
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in langbyyi/CyberStrikeAI-SRC, which our catalogue first saw on October 7, 2026.
Recon And Methodology next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Recon And Methodology this skilllangbyyi/CyberStrikeAI-SRC | 129 | 1 repos | ~3.1k | Automated safety check: Warn | Apache-2.0 | |
| Web3 Smart Contract Auditawarexone/Agentic-Bug-Hunter | 5.3k | 3 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Bug Bounty Hunting Methodologyawarexone/Agentic-Bug-Hunter | 5.3k | 2 repos | ~4.7k | Automated safety check: Pass | MIT | |
| Metabigor OSINT Reconj3ssie/metabigor | 1.9k | — | ~2.4k | Automated safety check: Pass | MIT | |
| Wooyun Legacytanweai/wooyun-legacy | 1.8k | — | ~1.9k | Automated safety check: Pass | Custom licence | |
| Client Request Signature Reversalawarexone/Agentic-Bug-Hunter | 5.3k | — | ~4.7k | Automated safety check: Pass | MIT |
awarexone/Agentic-Bug-Hunter
Guides smart contract audits and bounty target selection with ten DeFi bug classes, kill signals, a Foundry PoC template and grep patterns.
awarexone/Agentic-Bug-Hunter
Orchestrates a bug bounty session with a 5-phase workflow and a critical-thinking framework covering developer psychology, anomaly detection and What-If experiments.
j3ssie/metabigor
Operates the metabigor CLI to map a target's network ranges, subdomains, ports, related domains, CDNs and archived URLs from free sources without API keys.
tanweai/wooyun-legacy
WooYun business logic vulnerability methodology — 22,132 real cases across 6 domains (authentication bypass, authorization bypass, payment tampering, information disclosure, logic flaws…
awarexone/Agentic-Bug-Hunter
Recovers a client-side request signature or anti-bot token just far enough to replay blocked requests in bug bounty testing, starting from a captured packet.
tradecatlabs/vibe-coding-cn
A selection guide to AI-driven tools for Web3 bug bounty work, from autonomous web pentesters to smart contract bug finders, with notes on authorization.
langbyyi/CyberStrikeAI-SRC
Automate low-impact web vulnerability verification through Burp MCP.
langbyyi/CyberStrikeAI-SRC
Authentication bypass testing playbook. An agent skill from langbyyi/CyberStrikeAI-SRC.
langbyyi/CyberStrikeAI-SRC
HTTP Parameter Pollution (HPP): duplicate query/body keys parsed differently by servers, proxies, WAFs, and app frameworks.
langbyyi/CyberStrikeAI-SRC
Source control and artifact exposure (.git, .svn, .hg, backups, .env).
langbyyi/CyberStrikeAI-SRC
PHP type juggling and weak comparison (==) bypass. An agent skill from langbyyi/CyberStrikeAI-SRC.
langbyyi/CyberStrikeAI-SRC
WebSocket handshake, CSWSH, tooling (wsrepl, ws-harness, Burp), and common flaws.
Categories
Reconnaissance and methodology playbook. An agent skill from langbyyi/CyberStrikeAI-SRC. Recon And Methodology is an agent skill from langbyyi/CyberStrikeAI-SRC. Reconnaissance and methodology playbook.
Recon And Methodology fits situations like: discovering endpoints; fingerprinting technology; building a structured testing plan for a new target.
Run `npx skills add langbyyi/CyberStrikeAI-SRC --skill recon-and-methodology -a claude-code`. Or copy the skill folder (skills/recon-and-methodology in langbyyi/CyberStrikeAI-SRC) into .claude/skills/recon-and-methodology in your project. Claude Code loads it when a task matches its description.
Run `npx skills add langbyyi/CyberStrikeAI-SRC --skill recon-and-methodology -a codex`. Or copy the skill folder (skills/recon-and-methodology in langbyyi/CyberStrikeAI-SRC) into .agents/skills/recon-and-methodology in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add langbyyi/CyberStrikeAI-SRC --skill recon-and-methodology -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/recon-and-methodology, .gemini/skills/recon-and-methodology, .github/skills/recon-and-methodology and .opencode/skills/recon-and-methodology in your project.
Going by SKILL.md and its folder, Recon And Methodology needs the command-line tools its instructions call (curl, jq, python3 and gitleaks). Our summary lists: Python 3; Docker.
SKILL.md names 3 domains. In commands or code: crt.sh, securitytrails.com and github.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md flagged 2 warning(s): mentions a credentials file (ssh keys, cloud or package-manager tokens). Read the flagged lines before installing; the check is not a guarantee either way.
Recon And Methodology is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.1k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Recon And Methodology: Web3 Smart Contract Audit (awarexone/Agentic-Bug-Hunter, 5.3k stars), Bug Bounty Hunting Methodology (awarexone/Agentic-Bug-Hunter, 5.3k stars), Metabigor OSINT Recon (j3ssie/metabigor, 1.9k stars) and Wooyun Legacy (tanweai/wooyun-legacy, 1.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
langbyyi (a GitHub user) maintains it in langbyyi/CyberStrikeAI-SRC, which has 129 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 7, 2026.
Source: langbyyi/CyberStrikeAI-SRC on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.