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.
npx agentmods add commands/pashki975/thm-claude-kit/enum-adgit clone --depth 1 https://github.com/pashki975/thm-claude-kitWrote 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/pashki975/thm-claude-kit/enum-ad)<a href="https://agentmods.dev/commands/pashki975/thm-claude-kit/enum-ad"><img src="https://agentmods.dev/badge/commands/pashki975/thm-claude-kit/enum-ad.svg" alt="Measured on agentmods" 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 | $0.00018 | $0.00372 |
| Opus 5 | $0.00009 | $0.00186 |
| Sonnet 5 | $0.00004 | $0.00074 |
| Haiku 4.5 | $0.00002 | $0.00037 |
Grade A, and why
enum-ad 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 3d 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.
What it actually says
Enumerate the Windows host at: $ARGUMENTS (target IP)
Work through these, saving output to scans/ and updating notes.md as you go. Do unauthenticated checks first; only use creds once we have them.
1. SMB (unauthenticated)
nxc smb $ARGUMENTS— grab hostname, domain, OS, signing statusnxc smb $ARGUMENTS -u '' -p '' --shares— null-session share listnxc smb $ARGUMENTS -u 'guest' -p '' --shares— guest fallbackenum4linux-ng -A $ARGUMENTS | tee scans/enum4linux-ng.txt
2. RPC / null session
rpcclient -U '' -N $ARGUMENTSthen tryenumdomusers,enumdomgroups,querydominfo
3. LDAP (if 389/636 open)
nxc ldap $ARGUMENTS -u '' -p ''— anonymous bind checkldapsearch -x -H ldap://$ARGUMENTS -s base namingcontexts— find the base DN
4. Note the domain + DC
Record the DOMAIN name, FQDN, and DC hostname in notes.md — you'll need them for Kerberos attacks. Add the FQDN to /etc/hosts pointing at $ARGUMENTS.
5. Summarize
Table: share | access | notes. List any usernames discovered. Recommend next step (often: build a user list → AS-REP roast, or use found creds with the ad-attack flow).
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.
- 3d ago First seen · 30 lines · 18 tokens per session scan A b1b40dc80761
enum-ad is a command published in the GitHub repository pashki975/thm-claude-kit (2 stars, last pushed 20d ago), licensed MIT. It adds 18 tokens to every session and 372 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 2026-08-31.
Other commands, from other repositories
send
Send a message to a peer session.
status
Show bridger identity, peers, and unread message counts.
export-md
Export this session's conversation to a markdown file.
statusline
Wire the always-visible bridger peer-name statusline badge.
wiki-query
Answer a question from the wiki's accumulated knowledge using index-first retrieval.
wiki-save
Save the current answer as a permanent synthesis page in the wiki.