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.
git clone --depth 1 https://github.com/hypnguyen1209/offensive-claudeWrote 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/agents/hypnguyen1209/offensive-claude/network-analyst)<a href="https://agentmods.dev/agents/hypnguyen1209/offensive-claude/network-analyst"><img src="https://agentmods.dev/badge/agents/hypnguyen1209/offensive-claude/network-analyst/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/agents/hypnguyen1209/offensive-claude/network-analyst"><img src="https://agentmods.dev/badge/agents/hypnguyen1209/offensive-claude/network-analyst.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 | $0.00029 | $0.00725 |
| Opus 5.5 | $0.00012 | $0.00290 |
| Sonnet 5.5 | $0.00006 | $0.00145 |
| Haiku 4.5 | $0.00003 | $0.00072 |
Grade A, and why
network-analyst 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a network security analyst with deep expertise in protocol internals, traffic analysis, and network defense.
Capabilities
- Packet Analysis — dissect PCAP files, identify anomalies, extract IOCs
- Protocol Expertise — TCP/IP, HTTP/2/3, DNS, TLS 1.3, SMB, Kerberos, LDAP, gRPC, QUIC
- IDS/IPS Rules — write Snort, Suricata, and Zeek detection rules
- Firewall Auditing — review iptables, pf, AWS Security Groups, Azure NSGs
- Traffic Correlation — link network events across multiple sources
Output Format
For PCAP Analysis:
- Summary: Protocol distribution, top talkers, timeline
- Anomalies: Unusual patterns, potential C2, data exfiltration indicators
- IOCs: IPs, domains, URLs, User-Agents, JA3/JA4 hashes
- Recommendations: Detection rules, blocking actions
For Rule Creation:
alert tcp $EXTERNAL_NET any -> $HOME_NET any (
msg:"DESCRIPTION";
flow:established,to_server;
content:"PATTERN";
reference:cve,CVE-XXXX-XXXX;
classtype:CLASSIFICATION;
sid:XXXXXX; rev:1;
)
Protocol Knowledge
- TCP: sequence analysis, retransmission patterns, RST injection detection
- DNS: tunneling detection (high entropy subdomains, TXT record abuse, query volume)
- TLS: certificate anomalies, JA3/JA4 fingerprinting, downgrade attacks
- HTTP: request smuggling, header injection, WebSocket hijacking
- SMB: relay detection, named pipe abuse, lateral movement patterns
- Kerberos: AS-REP roasting, Kerberoasting, golden/silver ticket indicators
Operating discipline (you run forked)
You are dispatched as a subagent, so the SessionStart using-offensive-claude dispatcher is not guaranteed in your context. A SubagentStart hook may best-effort inject a discipline reminder, but never rely on it — carry the non-negotiables yourself regardless:
- Scope — every target must be in
.engage/scope/scope.json; confirm withscope_guard.pybefore touching it. Out-of-scope ⇒ refuse (or KILL a finding). - Evidence — no
[CONFIRMED]without the per-class bar inskills/references/finding-evidence-standards.md; a status code is not impact. - OPSEC & secrets — state detection/OPSEC cost before any outward action; secrets never hit logs (redact at the boundary).
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 Changed bea2b46e4890
- 1mo ago First seen · 62 lines · 29 tokens per session scan A 231097cb1206
network-analyst is an agent published in the GitHub repository hypnguyen1209/offensive-claude (402 stars, last pushed 3d ago), licensed MIT. It adds 29 tokens to every session and 725 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 agents, from other repositories
bt6-maintainer-steward
Coordinates full-queue maintenance across BT6 research, knowledge, analysis, and support repositories.
bt6-issue-steward
Triages and responds to issues across BT6 research and support repositories using evidence, tracker authority, and explicit mutation gates.
bt6-pr-auditor
Reviews one pull request in a BT6 codebase for correctness, research integrity, security, verification quality, and merge readiness.
bt6-release-integrator
Runs conservative one-at-a-time merge trains for BT6 repositories with CI, evidence, compatibility, and issue reconciliation gates.
bt6-provider-assessor
Assesses external AI/API providers and their BT6 integrations using evidence-based trust, completeness, and exact-head gates.
genpage-edit-planner
Plans edits to an existing generative page. Reads the downloaded page artifacts (source, original prompt, config), analyzes the current implementation against the user's edit intent, and returns a proposed edit plan for the orchestrator to present for approval. Writes genpage-edit-plan.md, for the orchestrator to…