Agent skill

Recon And Methodology

by langbyyi in langbyyi/CyberStrikeAI-SRC

Reconnaissance and methodology playbook. An agent skill from langbyyi/CyberStrikeAI-SRC.

Apache-2.0Auto-check: warningsSecurity

Install Recon And Methodology

The automated check flagged lines worth reading first. See the safety section below.

skills CLI
$ npx skills add langbyyi/CyberStrikeAI-SRC --skill recon-and-methodology -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install langbyyi/CyberStrikeAI-SRC recon-and-methodology --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
recon-and-methodology
GitHub stars
129
Used in
1 other repo
Token cost
~3.1k tokens
SKILL.md length
390 words
Files
1
Skills in repo
13
Repo updated
First seen
Licence
Apache-2.0

At a glance

Reconnaissance and methodology playbook. An agent skill from langbyyi/CyberStrikeAI-SRC.

  • Works in 12 steps: RECON HIERARCHY → SUBDOMAIN ENUMERATION (CRITICAL FIRST… → SERVICE AND PORT DISCOVERY → …
  • Discovering endpoints
  • SKILL.md covers 1. RECON HIERARCHY, 2. SUBDOMAIN ENUMERATION…, 3. SERVICE AND PORT DISCOVERY and 4. WEB TECHNOLOGY FINGERPRINTING, plus 9 more sections
  • Calls curl, jq and python3; reaches crt.sh and securitytrails.com

What it does

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.

When your agent uses it

  • Discovering endpoints
  • Fingerprinting technology
  • Building a structured testing plan for a new target

Example prompts

  • “/recon-and-methodology”

Requirements

  • Python 3
  • Docker

Workflow steps

12 steps, taken from the step headings in SKILL.md.

  1. RECON HIERARCHY
  2. SUBDOMAIN ENUMERATION (CRITICAL FIRST STEP)
  3. SERVICE AND PORT DISCOVERY
  4. WEB TECHNOLOGY FINGERPRINTING
  5. ENDPOINT DISCOVERY
  6. SOURCE CODE RECON
  7. ZSEANO'S TESTING METHODOLOGY
  8. BUG BOUNTY PROGRAM TRIAGE (WHERE TO SPEND TIME)
  9. NUCLEI TEMPLATES (AUTOMATED SCANNING)
  10. COMMON MISCONFIGURATIONS (QUICK WINS)
  11. QUICK REFERENCE TOOLS
  12. JAVA MIDDLEWARE FINGERPRINT MATRIX

What it can do on your machine

Read from SKILL.md and the folder at commit 166ee1c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Shell commands in SKILL.md call:

    • curl
    • jq
    • python3
    • gitleaks

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • crt.sh
    • securitytrails.com
    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

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.

Always · name and description, kept in context so the agent knows when to use it
~49
When it runs · the whole SKILL.md, loaded when a task matches
~3.1k

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.

Safety

Auto-check: warnings

The automated check found patterns that need a careful read before installing.

  • NoteMentions a .env fileSKILL.md:178
    # site:github.com "target.com" ".env" OR "config.php" OR "db_password"
  • NoteMentions a .env fileSKILL.md:189
    https://target.com/.env
  • NoteMentions a .env fileSKILL.md:281
    □ .env exposed: curl https://target.com/.env
  • NoteMentions a .env fileSKILL.md:362
    /.env          /.env.bak         /.env.production
  • WarningMentions a credentials file (SSH keys, cloud or package-manager tokens)SKILL.md:383
    /.aws/credentials             → AWS credentials
  • WarningMentions a credentials file (SSH keys, cloud or package-manager tokens)SKILL.md:384
    /.docker/config.json          → Docker registry auth

Automated 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.

SKILL.md

The full file from langbyyi/CyberStrikeAI-SRC at commit 166ee1c, republished under its Apache-2.0 licence (© langbyyi). 390 words, ~3,125 tokens.

Download SKILL.mdSave it as .claude/skills/recon-and-methodology/SKILL.md (or your agent's skills folder).
name
recon-and-methodology
description
Reconnaissance and methodology playbook. Use when mapping assets, discovering endpoints, fingerprinting technology, and building a structured testing plan for a new target.

SKILL: Recon and Methodology — Expert Bug Bounty Playbook

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.


1. RECON HIERARCHY

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)

2. SUBDOMAIN ENUMERATION (CRITICAL FIRST STEP)

Passive (no DNS queries to target)
bash
# 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
Active (DNS brute force + resolution)
bash
# 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/
Virtual Host Discovery
bash
# 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

3. SERVICE AND PORT DISCOVERY

bash
# 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

4. WEB TECHNOLOGY FINGERPRINTING

bash
# 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

5. ENDPOINT DISCOVERY

Directory Brute Force
bash
# 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
Parameter Discovery
bash
# Arjun (hidden parameter finder):
arjun -u https://target.com/api/endpoint

# x8:
x8 -u https://target.com/api/endpoint -w params-wordlist.txt
JavaScript Source Mining
bash
# 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
API Endpoint Discovery
bash
# 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

6. SOURCE CODE RECON

GitHub / GitLab Exposure
bash
# 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
Exposed Environment Files
# 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.zip

7. ZSEANO'S TESTING METHODOLOGY

Core Philosophy
  1. Go deep on one program rather than spread across many — learn the application thoroughly
  2. Build a profile of the company — tech stack, developers, processes
  3. Look where others don't — check error pages, admin paths, old versions, mobile API
  4. Follow the filter — if input is filtered somewhere, that functionality exists and may be bypassed
Testing Sequence (One Page / Feature)
For 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)
Parameter Insights
- 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

8. BUG BOUNTY PROGRAM TRIAGE (WHERE TO SPEND TIME)

High-Value Target Selection
✓ 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)
High-Value Feature Focus (by bug probability)
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

9. NUCLEI TEMPLATES (AUTOMATED SCANNING)

bash
# 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

10. COMMON MISCONFIGURATIONS (QUICK WINS)

□ 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

11. QUICK REFERENCE TOOLS

CategoryTool
Subdomain enumsubfinder, amass, massdns
Port scannmap, masscan
HTTP probehttpx
Dir bruteffuf, feroxbuster, gobuster
JS miningLinkFinder, gau, waybackurls
Secret scantrufflehog, gitleaks
Parameter fuzzarjun, x8
Vuln scannuclei
Proxy/interceptBurp Suite Pro
JWT attacksjwt_tool
SQLisqlmap
XSSdalfox, XSStrike
SSRFSSRFmap, Gopherus

Show full SKILL.md (131 more words)Show less

12. JAVA MIDDLEWARE FINGERPRINT MATRIX

MiddlewareDetection PathKey Indicators
Apache Tomcat/manager/html, /manager/statusDefault 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/heapdumpJSON endpoint listing, heap dump contains secrets
Spring Boot (alt paths)/actuator/jolokia, /actuator/gateway/routesJolokia JMX bridge, Gateway route injection
Jenkins/script, /manageGroovy console, API token in cookie
GlassFish/common/, /theme/Admin on 4848, default empty password
Jetty/jolokia/JMX access
Resin/resin-admin/Admin panel
Spring Boot Actuator Exploitation Priority
/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)

13. INFORMATION LEAK DETECTION CHECKLIST

Version Control & Backup Leaks
/.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 File Patterns
/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
API Documentation & Debug
/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
Cloud & Infrastructure
/.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

Files

Just SKILL.md in skills/recon-and-methodology of langbyyi/CyberStrikeAI-SRC.

Open the folder on GitHubat commit 166ee1c

Used in 1 other repository

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.

Compare with similar skills

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.

Recon And Methodology compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Recon And Methodology this skilllangbyyi/CyberStrikeAI-SRC1291 repos~3.1kAutomated safety check: WarnApache-2.0
Web3 Smart Contract Auditawarexone/Agentic-Bug-Hunter5.3k3 repos~4.5kAutomated safety check: PassMIT
Bug Bounty Hunting Methodologyawarexone/Agentic-Bug-Hunter5.3k2 repos~4.7kAutomated safety check: PassMIT
Metabigor OSINT Reconj3ssie/metabigor1.9k—~2.4kAutomated safety check: PassMIT
Wooyun Legacytanweai/wooyun-legacy1.8k—~1.9kAutomated safety check: PassCustom licence
Client Request Signature Reversalawarexone/Agentic-Bug-Hunter5.3k—~4.7kAutomated safety check: PassMIT

Similar skills

  • 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.

    5.3k GitHub starsUsed in 3 repos~4.5k tokens
    SecurityAuto-check passed
  • Bug Bounty Hunting Methodology

    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.

    5.3k GitHub starsUsed in 2 repos~4.7k tokens
    SecurityAuto-check passed
  • Metabigor OSINT Recon

    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.

    1.9k GitHub stars~2.4k tokensUpdated 2 mo ago
    SecurityAuto-check passed
  • Wooyun Legacy

    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…

    1.8k GitHub stars~1.9k tokensUpdated 2 mo ago
    SecurityAuto-check passed
  • Client Request Signature Reversal

    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.

    5.3k GitHub stars~4.7k tokensUpdated yesterday
    SecurityAuto-check passed
  • Web3 Bug Bounty AI Tools

    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.

    17k GitHub starsUsed in 2 repos~3.9k tokens
    SecurityAuto-check: warnings

More from langbyyi/CyberStrikeAI-SRC

All 13 skills in this repo
  • Burp MCP Vuln Check

    langbyyi/CyberStrikeAI-SRC

    Automate low-impact web vulnerability verification through Burp MCP.

    129 GitHub stars~3.1k tokensUpdated 3 days ago
    Auto-check passed
  • Authbypass Authentication Flaws

    langbyyi/CyberStrikeAI-SRC

    Authentication bypass testing playbook. An agent skill from langbyyi/CyberStrikeAI-SRC.

    129 GitHub starsUsed in 1 repo~3.9k tokens
    Auto-check passed
  • HTTP Parameter Pollution

    langbyyi/CyberStrikeAI-SRC

    HTTP Parameter Pollution (HPP): duplicate query/body keys parsed differently by servers, proxies, WAFs, and app frameworks.

    129 GitHub starsUsed in 1 repo~2.2k tokens
    Auto-check passed
  • Insecure Source Code Management

    langbyyi/CyberStrikeAI-SRC

    Source control and artifact exposure (.git, .svn, .hg, backups, .env).

    129 GitHub starsUsed in 1 repo~1.3k tokens
    Auto-check: notes
  • Type Juggling

    langbyyi/CyberStrikeAI-SRC

    PHP type juggling and weak comparison (==) bypass. An agent skill from langbyyi/CyberStrikeAI-SRC.

    129 GitHub starsUsed in 1 repo~2.9k tokens
    Auto-check passed
  • Websocket Security

    langbyyi/CyberStrikeAI-SRC

    WebSocket handshake, CSWSH, tooling (wsrepl, ws-harness, Burp), and common flaws.

    129 GitHub starsUsed in 1 repo~1.8k tokens
    Auto-check passed

Categories

Questions about Recon And Methodology

What does Recon And Methodology do?

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.

When should I use Recon And Methodology?

Recon And Methodology fits situations like: discovering endpoints; fingerprinting technology; building a structured testing plan for a new target.

How do I install Recon And Methodology in Claude Code?

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.

How do I install Recon And Methodology in Codex?

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.

Can I use Recon And Methodology in Cursor, Gemini CLI or GitHub Copilot?

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.

What does Recon And Methodology need to run?

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.

Does Recon And Methodology access the network?

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.

Is Recon And Methodology safe to install?

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.

What licence does Recon And Methodology use?

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.

How many tokens does Recon And Methodology use?

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.

What are the alternatives to Recon And Methodology?

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.

Who maintains Recon And Methodology?

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.