Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add ogrodev/fsociety/plugin install romeroWrote 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/commands/ogrodev/fsociety/dotnet)<a href="https://agentmods.dev/commands/ogrodev/fsociety/dotnet"><img src="https://agentmods.dev/badge/commands/ogrodev/fsociety/dotnet/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/commands/ogrodev/fsociety/dotnet"><img src="https://agentmods.dev/badge/commands/ogrodev/fsociety/dotnet.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 | $0.00015 | $0.00662 |
| Opus 5.5 | $0.00006 | $0.00265 |
| Sonnet 5.5 | $0.00003 | $0.00132 |
| Haiku 4.5 | $0.00002 | $0.00066 |
Grade A, and why
dotnet 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Storage Policy: ALL output files MUST be saved in the project directory. NEVER write to
/tmp/or any system temporary directory.
.NET Assembly Analysis
Parse $ARGUMENTS to get the binary path.
Step 1 — Verify .NET Binary
r2 -qc 'ii' <binary> | grep -i mscoree
file <binary> | grep -i "\.NET\|Mono\|CLR"
If not a .NET binary, inform the user and suggest /analyze instead.
Step 2 — Metadata Extraction
monodis --typedef <binary> # Class/type listing
monodis --assembly <binary> # Assembly metadata
monodis --typeref <binary> # Referenced types
Step 3 — Obfuscation Detection
Look for signs of obfuscation:
- Garbled/non-readable class and method names
- Single-character namespaces
- Unusual control flow in IL code
- Known obfuscator watermarks:
- ConfuserEx:
ConfuserExin metadata or garbled names starting with\u - Dotfuscator:
DotfuscatorAttribute - .NET Reactor:
.reactosection or__EncryptedAssembly__resource - Babel:
BabelAttribute - Eazfuscator:
EazAttribute
- ConfuserEx:
Step 4 — Deobfuscation (if needed)
de4dot <binary> -o extracted/deobfuscated-<binary-name>
de4dot will auto-detect the obfuscator and apply appropriate cleaning.
Verify deobfuscation succeeded:
monodis --typedef extracted/deobfuscated-<binary-name>
Step 5 — Full Decompilation
Using ILSpy CLI (if available):
ilspycmd <binary> -o extracted/dotnet-<binary-name>/
Or using monodis for IL:
monodis --method <binary>
Step 6 — Extract Interesting Data
Look for:
- Connection strings:
Data Source=,Server=,mongodb:// - API endpoints:
http://,https://,/api/ - Embedded resources: Check
.rsrcsection - Hardcoded credentials:
password,secret,key,token - Encryption keys: AES/RSA key material in code
Log findings:
node "${CLAUDE_PLUGIN_ROOT}/scripts/findings-tracker.js" add "<binary>" "<type>" "<value>" "<severity>" "<title>"
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.
- 1mo ago First seen · 86 lines · 15 tokens per session scan A 1864c34e2923
dotnet is a command published in the GitHub repository ogrodev/fsociety (20 stars, last pushed 7mo ago), licensed MIT. It adds 15 tokens to every session and 662 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other commands, from other repositories
pentest
Activate pentest mode — displays ASCII art, configures session isolation, collects engagement scope, then OWNS the engagement: pre-flight, recon, planning (via the pentester-orchestrator planner), executor dispatch, a time-budget quota loop, aggregation, and report generation.
pentest-attacks
Define the attack profile for an engagement — select which attack categories and skills to use. Saves to .pentest-attacks.json. If run before /pentest:pentest, the orchestrator will respect the selection. If run standalone, does not launch a pentest.
pentest-scope
Define or update engagement scope — saves scope to disk without launching a pentest. Can be run before or during an engagement. If a pentest is active and the target changes drastically, warns the operator and suggests a new engagement.
pentest-kali
Connect to a Metasploit-Kali Server (MKS) REST API — verifies connectivity, discovers available Kali tools, and configures agents to prefer MKS endpoints over local Bash equivalents.
pentest-exit
Close pentest session — summarizes findings, ensures outputs are saved, lifts isolation, and prompts for /clear.
bb-ad
Active Directory enumeration and attack techniques. Includes LDAP enumeration, Kerberos attacks (Kerberoasting, AS-REP Roasting), SMB attacks, and domain privilege escalation. Use this when targeting Windows domain environments.