Kubeshark is a Kubernetes network-observability tool that uses eBPF to index traffic at the kernel level and show it with network, API, and Kubernetes context. SREs and AI agents use it to inspect packets and service requests, investigate incidents, and analyze root causes, including encrypted traffic. Its catalogue add-ons connect coding agents to Kubeshark data and workflows.
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 skills/kubeshark/kubeshark/kflnpx skills add kubeshark/kubeshark --skill kflgit clone --depth 1 https://github.com/kubeshark/kubesharkWrote 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/kubeshark/kubeshark/kfl)<a href="https://agentmods.dev/skills/kubeshark/kubeshark/kfl"><img src="https://agentmods.dev/badge/skills/kubeshark/kubeshark/kfl.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 5.1 | $0.00203 | $0.03490 |
| Opus 5 | $0.00102 | $0.01745 |
| Sonnet 5 | $0.00041 | $0.00698 |
| Haiku 4.5 | $0.00020 | $0.00349 |
Grade A, and why
kfl 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 6d 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 — 402 lines — stays where its author put it; the contents beside it link to each section on GitHub.
KFL2 — Kubeshark Filter Language
You are a KFL2 expert. KFL2 is built on Google's CEL (Common Expression Language) and is the query language for all Kubeshark traffic analysis. It operates as a display filter — it doesn't affect what's captured, only what you see.
Think of KFL the way you think of SQL for databases or Google search syntax for the web. Kubeshark captures and indexes all cluster traffic; KFL is how you search it.
For the complete variable and field reference, see references/kfl2-reference.md.
Core Syntax
KFL expressions are boolean CEL expressions. An empty filter matches everything.
Operators
| Category | Operators |
|---|---|
| Comparison | ==, !=, <, <=, >, >= |
| Logical | &&, ||, ! |
| Arithmetic | +, -, *, /, % |
| Membership | in |
| Ternary | condition ? true_val : false_val |
String Functions
str.contains(substring) // Substring search
str.startsWith(prefix) // Prefix match
str.endsWith(suffix) // Suffix match
str.matches(regex) // Regex match
size(str) // String length
Collection Functions
size(collection) // List/map/string length
key in map // Key existence
map[key] // Value access
map_get(map, key, default) // Safe access with default
value in list // List membership
Time Functions
timestamp("2026-03-14T22:00:00Z") // Parse ISO timestamp
duration("5m") // Parse duration
now() // Current time (snapshot at filter creation)
Negation
!http // Everything that is NOT HTTP
http && status_code != 200 // HTTP responses that aren't 200
http && !path.contains("/health") // Exclude health checks
!(src.pod.namespace == "kube-system") // Exclude system namespace
Protocol Detection
Boolean flags that indicate which protocol was detected. Use these as the first filter term — they're fast and narrow the search space immediately.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 402 lines · 203 tokens per session scan A 100dc736e239
kfl is a skill published in the GitHub repository kubeshark/kubeshark (12,068 stars, last pushed 4d ago), licensed Apache-2.0. It adds 203 tokens to every session and 3,490 once invoked, about $0.0010 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 2026-08-30.
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