recommend

recommend is a command for Claude Code from 0xSteph/pentest-ai-agents. It costs 18 tokens per session (1,042 once invoked), scanned A, original, MIT.

A task router for penetration testing, which checks a free-form request and chooses the best specialist agent for it.

In plain words
What is it for?
Use it to classify work such as web testing, cloud testing, forensics, or capture-the-flag exercises, then get one recommended agent, optional hand-off, assumed scope, and concrete command-line steps.
Why use it?
It removes the guesswork of deciding which security specialist and first commands fit a task. It also highlights missing scope and a relevant risk to watch for.

Command for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the pentest-ai-agents plugin — 3 commands, 52 agents shipped together

About the project

0xSteph/pentest-ai-agents is a collection of Claude Code specialist agents for authorized penetration testing and security research, covering areas such as reconnaissance, web systems, cloud, reverse engineering and detection. Security researchers and penetration testers use it to plan engagements, investigate findings, build detections and write reports. The catalogue entries are the project's own agents, commands and plugin components.

0xSteph/pentest-ai-agents · 2,198 stars · on GitHub · pentestai.xyz

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add commands/0xsteph/pentest-ai-agents/recommend
Clone the repo
git clone --depth 1 https://github.com/0xSteph/pentest-ai-agents

Made for: Claude Code.

Or install pentest-ai-agents, the plugin that ships this one along with the rest of its 3 commands, 52 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for recommend

README.md
[![agentmods](https://agentmods.dev/badge/commands/0xsteph/pentest-ai-agents/recommend.svg)](https://agentmods.dev/commands/0xsteph/pentest-ai-agents/recommend)
Your own site
<a href="https://agentmods.dev/commands/0xsteph/pentest-ai-agents/recommend"><img src="https://agentmods.dev/badge/commands/0xsteph/pentest-ai-agents/recommend.svg" alt="Measured on agentmods" height="20"></a>
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,042 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00018 $0.01042
Opus 5 $0.00009 $0.00521
Sonnet 5 $0.00004 $0.00208
Haiku 4.5 $0.00002 $0.00104

Measured 7d ago against content hash 96217b57ae81, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

recommend scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

commands/recommend.md · 74 lines

What it actually says

You are routing a pentesting task to the right specialist agent. The user's task is below.

User task: $ARGUMENTS

Do this in order:

  1. Classify the task. Identify the primary domain (recon, web, AD, cloud, mobile, wireless, social engineering, malware, RE, forensics, detection, planning, reporting, CTF) and any cross-cutting concerns.

  2. Pick the agent (or two). From the catalog below, name the single best agent. If a second agent would meaningfully help, name it as a hand-off. Don't list more than two.

  3. State the assumed scope. Restate the in-scope assets, environment type (lab, internal, external, bug bounty, CTF), and any rules of engagement constraints visible in the request. If scope is missing, ask one direct question to fill the gap.

  4. Give 3–5 concrete next commands. Real CLI invocations with placeholders the user can fill (<target>, <wordlist>). Not methodology paragraphs. Not "consider running nmap" — just nmap -sV --top-ports 1000 <target>.

  5. Note one thing to watch for. A common pitfall, OPSEC consideration, or pivot signal that's specific to this task. One sentence.

Agent catalog (for routing):

  • engagement-planner — pentest scoping, ROE, MITRE-mapped phased plans
  • recon-advisor — Nmap/Nessus/BloodHound output analysis, target prioritization (Tier 2)
  • osint-collector — domain recon, email harvest, breach data, social profiling
  • exploit-guide — methodology for AD/web/cloud/post-ex (advisory)
  • privesc-advisor — Linux/Windows privilege escalation
  • cloud-security — AWS/Azure/GCP, IAM escalation, container escape, serverless
  • api-security — REST/GraphQL/WebSocket, JWT, OAuth, OWASP API Top 10
  • mobile-pentester — Android/iOS, Frida, Objection, MASTG/MASVS
  • wireless-pentester — WPA/WPA2/WPA3, evil twin, 802.1X, Bluetooth
  • social-engineer — phishing strategy, pretexting, vishing methodology
  • phishing-operator — Evilginx, GoPhish, dnstwist, live campaign tooling
  • vuln-scanner — Nuclei, Nikto, Nmap NSE, RouterSploit (Tier 2)
  • web-hunter — ffuf, gobuster, sqlmap, dalfox, Commix (Tier 2)
  • credential-tester — Hydra, Hashcat, John, CrackMapExec, wordlist generation
  • attack-planner — multi-step attack chain construction with stealth/impact scoring
  • bug-bounty — HackerOne/Bugcrowd methodology, dedup, report writing
  • ad-attacker — BloodHound, Impacket, NetExec, Certipy, Kerberos abuse (Tier 2)
  • exploit-chainer — chain low-severity findings into full compromise (Tier 2)
  • poc-validator — generate and safely run PoC scripts to eliminate false positives (Tier 2)
  • payload-crafter — msfvenom, Donut, custom loaders, paired with detection content
  • reverse-engineer — Ghidra, JadX, Radare2, Binwalk, static analysis workflows
  • swarm-orchestrator — coordinates multiple agents in parallel
  • bizlogic-hunter — price manipulation, race conditions, authorization flaws (Tier 2)
  • cicd-redteam — GitHub Actions, GitLab CI, Jenkins pipeline security
  • detection-engineer — Sigma, Splunk SPL, Elastic KQL, Sentinel KQL rules
  • threat-modeler — STRIDE/DREAD, attack trees, data flow diagrams
  • forensics-analyst — evidence acquisition, memory/disk forensics, timeline
  • malware-analyst — triage, dynamic analysis, IOC extraction, YARA
  • stig-analyst — DISA STIG, GPO remediation, keep-open justifications
  • report-generator — pentest reports, executive summaries, CVSS, remediation
  • ctf-solver — HackTheBox, TryHackMe, PicoCTF, web/pwn/rev/crypto/forensics

Output format:

**Primary agent**: <name>
**Hand-off to (if any)**: <name or "none">

**Assumed scope**: <one sentence>

**Next commands**:
1. <command>
2. <command>
3. <command>

**Watch for**: <one sentence>

If the user's task is out of scope (mass targeting, unauthorized DDoS, attacks on third parties), say so directly and refuse to route. Do not invent fake authorization context.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 74 lines · 18 tokens per session scan A 96217b57ae81

Subscribe to this mod's changes

recommend is a command published in the GitHub repository 0xSteph/pentest-ai-agents (2,198 stars, last pushed 21d ago), licensed MIT. It adds 18 tokens to every session and 1,042 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other commands, from other repositories

bypass-403

Probe a 403/401 endpoint with the most-paid bypass tricks (header injection, path encoding, method swap, WAF fingerprint, vendor-specific). Wraps byp4xx when installed; otherwise runs a built-in matrix of 38+ techniques. Usage: /bypass-403 | /bypass-403 -l.

Awarexone/Agentic-Bug-Hunter · 0 tokens

autopilot

Run autonomous hunt loop on a target — scope check → recon → rank surface → hunt → validate → report with configurable checkpoints. Usage: /autopilot target.com [--paranoid|--normal|--yolo].

Awarexone/Agentic-Bug-Hunter · 0 tokens

triage

Quick 7-Question Gate triage on a finding before writing a report. Kills N/A submissions before they happen. Faster than /validate — for quick go/no-go decisions. Usage: /triage.

Awarexone/Agentic-Bug-Hunter · 0 tokens

token-scan

Meme coin and token security scan — checks for rug pull vectors (hidden mint, honeypot, fee manipulation, LP lock bypass, authority retention, bonding curve exploits, fake renounce, sandwich amplification). Manual 8-class grep audit (with an optional automated scanner if present). Usage: /token-scan [--chain solana].

elementalsouls/Claude-BugHunter · 79 tokens

memory-gc

Inspect or rotate hunt-memory JSONL files (audit.jsonl, patterns.jsonl, journal.jsonl). Caps file size and keeps N rotated backups so memory does not grow unbounded.

Awarexone/Agentic-Bug-Hunter · 37 tokens

nosqli

NoSQL injection scanner (MongoDB/Mongoose/operator-injection DBs) — auth bypass via $ne/$gt operators, bracket-syntax query injection, $where time-based blind. Usage: /nosqli --login --user-field email --pass-field password.

Awarexone/Agentic-Bug-Hunter · 0 tokens