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 automateyournetwork/netclaw --skill suzieq-observabilitygit clone --depth 1 https://github.com/automateyournetwork/netclawWrote 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/automateyournetwork/netclaw/suzieq-observability)<a href="https://agentmods.dev/skills/automateyournetwork/netclaw/suzieq-observability"><img src="https://agentmods.dev/badge/skills/automateyournetwork/netclaw/suzieq-observability/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/automateyournetwork/netclaw/suzieq-observability"><img src="https://agentmods.dev/badge/skills/automateyournetwork/netclaw/suzieq-observability.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 | $0.00081 | $0.01077 |
| Opus 5 | $0.00041 | $0.00539 |
| Sonnet 5 | $0.00016 | $0.00215 |
| Haiku 4.5 | $0.00008 | $0.00108 |
Grade A, and why
suzieq-observability 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 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.
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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SuzieQ Network Observability
Server & Configuration
- Server script:
mcp-servers/suzieq-mcp/server.py - Transport: stdio (JSON-RPC 2.0)
- Environment variables:
SUZIEQ_API_URL,SUZIEQ_API_KEY - Optional:
SUZIEQ_VERIFY_SSL(default: true),SUZIEQ_TIMEOUT(default: 30s)
All 5 Available Tools
1. suzieq_show
Query detailed network state data from any SuzieQ table. Supports filtering by device, namespace, time range, and columns. Use for current or historical (time-travel) network state queries.
table(string, required): SuzieQ table name (e.g., "bgp", "route", "interface")namespace(string): Filter by SuzieQ namespacehostname(string): Filter by device hostnamecolumns(string): Comma-separated column names to returnstart_time(string): Start time for time-travel query (ISO 8601 or relative e.g., "1h", "2d")end_time(string): End time for time-travel queryview(string): Data view: "latest", "all", or "changes"filters(string): Additional key=value pairs separated by ampersand
Use when: Querying current network state, investigating specific devices, performing time-travel queries for historical analysis.
2. suzieq_summarize
Get aggregated statistics and summary views of any SuzieQ network table. Returns counts, distributions, and per-device breakdowns.
table(string, required): SuzieQ table namenamespace(string): Filter by SuzieQ namespacehostname(string): Filter by device hostnamestart_time(string): Start time for historical summaryend_time(string): End time for historical summary
Use when: Getting high-level network overview, distribution analysis, capacity planning.
3. suzieq_assert
Run validation assertions against network state. Checks conditions like "all BGP peers established" or "no interface errors".
table(string, required): Must be one of: bgp, ospf, interface, evpnVninamespace(string): Filter by SuzieQ namespacehostname(string): Filter by device hostname
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 · 91 lines · 81 tokens per session scan A a15d5ca91f75
suzieq-observability is a skill published in the GitHub repository automateyournetwork/netclaw (657 stars, last pushed 6d ago), licensed Apache-2.0. It adds 81 tokens to every session and 1,077 once invoked, about $0.0004 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 2026-09-03.
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