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 skills add adriannoes/awesome-agentic-ai --skill hunt-ntlm-infogit clone --depth 1 https://github.com/adriannoes/awesome-agentic-aiWrote 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/adriannoes/awesome-agentic-ai/hunt-ntlm-info)<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/hunt-ntlm-info"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/hunt-ntlm-info/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/adriannoes/awesome-agentic-ai/hunt-ntlm-info"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/hunt-ntlm-info.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00093 | $0.04179 |
| Opus 5 | $0.00046 | $0.02090 |
| Sonnet 5 | $0.00019 | $0.00836 |
| Haiku 4.5 | $0.00009 | $0.00418 |
Grade A, and why
hunt-ntlm-info 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 9d 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.
3. **Use a keep-alive raw socket, not Python requests / curl one-shot.** Most HTTP libraries close the connection between the Type-1 send and Type-2 reception. Use one of: How it starts
The opening of the file, as written. The whole thing — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Crown Jewel Targets
NTLM info disclosure is a Medium-severity finding when chained to context — the leak itself is intentional protocol behavior (RFC-compliant NTLMSSP challenge), but on internet-exposed enterprise infrastructure it provides exact reconnaissance for the next stage of an attack. Highest-value targets:
- Internet-reachable IIS / SharePoint / Exchange / OWA with dual-auth (Forms + NTLM, or NTLM + Kerberos)
- Citrix NetScaler / VMware Horizon View internet-facing gateways with NTLM-backed AD auth
- Lync / Skype for Business / Teams On-Prem edge servers
- WSUS / Windows Update Services with NTLM-protected admin paths
- CIFS-style fileshare proxies (HCL Sametime, IBM Notes Domino) that proxy NTLM
- Legacy SharePoint farms that left NTLM enabled on the public-zone IIS binding
What makes this pay:
- Internal AD domain disclosure (parent-forest mapping, e.g.
customer.parent-corp.example→ tenant inside corporate-AD tree) - Default-Windows-hostname disclosure (
WIN-XXXXXXXXXXXpattern signals rushed provisioning → likely default service-account passwords) - Timestamp leak (used in NTLMv2 hash cracking acceleration)
- Direct attack-map enrichment for credential spraying combined with
hunt-auth-bypassLegacy-Protocol Matrix
Attack Surface Signals
Response headers signaling NTLM availability:
WWW-Authenticate: NTLM
WWW-Authenticate: Negotiate
WWW-Authenticate: NTLM, Negotiate
WWW-Authenticate: Negotiate, NTLM
URL patterns where NTLM is commonly exposed:
/_api/web/CurrentUser (SharePoint REST)
/_vti_bin/*.asmx (SharePoint legacy SOAP)
/EWS/Exchange.asmx (Exchange Web Services)
/Autodiscover/Autodiscover.xml (Exchange autodiscover)
/owa/ (Outlook Web App)
/Microsoft-Server-ActiveSync (ActiveSync)
/PowerShell (Exchange Mgmt Shell over HTTPS)
/api/v3/ (TeamCity, Atlassian)
/wsus/ (Windows Server Update Services)
/manager/html (some Tomcat behind IIS)
/iisstart.htm (default IIS, sometimes reveals NTLM upstream)
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.
- 9d ago First seen · 271 lines · 0 tokens per session scan A 929e541a59aa
hunt-ntlm-info is a skill published in the GitHub repository adriannoes/awesome-agentic-ai (57 stars, last pushed 14d ago), licensed MIT. It adds 93 tokens to every session and 4,179 once invoked, about $0.0005 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 2026-09-03.
Other skills, from other repositories
importing-a-codebase
Use when the repo holds real source code but no specs: the existing-codebase branch of setting-up-a-project, normally reached via that dispatcher, directly only when the situation is unmistakable. Not for empty workspaces (starting-a-new-project) or feature work in a specced project (brainstorming).
starting-a-new-project
Use when the workspace is empty — no code yet — and the user brings a raw idea: the brand-new branch of setting-up-a-project, normally reached via that dispatcher, directly only when the situation is unmistakable. Not for features in an existing project — use brainstorming instead.
todos
This chat has a shared, live TODO plan — your tasks for the conversation, which the user also edits. Read this skill and reach for the todo tools whenever a request takes more than a couple of steps. It covers the plan model (group = task, items = its steps; loose items are the user's lane), how to work it: propose…
writing-workflow-skills
Use when adding a new workflow skill to pi-thinkrail-workflow, changing an existing workflow skill's role, trigger, handoff, or structure, or checking a workflow skill against the workflow system's rules. Not for authoring general-purpose skills outside this package.
brainstorming
Use this BEFORE any creative or feature work: building a new feature, adding functionality, changing behavior, or making a nontrivial design decision. Turns the user's request into a validated design — recorded as a spec-graph task-spec — before any implementation. Do not skip this because a change looks small.
reviewing-changes
Use when a review package asks you to review a plan step's change set (todo.startReview): you are the REVIEWER, not the author. How to judge an agent-written diff, file findings with addreviewcomment, and settle with exactly one reviewverdict.