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 kurtosis-tech/kurtosis --skill cleangit clone --depth 1 https://github.com/kurtosis-tech/kurtosisWrote 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/kurtosis-tech/kurtosis/clean)<a href="https://agentmods.dev/skills/kurtosis-tech/kurtosis/clean"><img src="https://agentmods.dev/badge/skills/kurtosis-tech/kurtosis/clean.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 53 Tool calls are chained to bypass individual safety checks or escalate capabilities beyond what any single tool call would allow.Fix: Limit tool chaining depth and validate the output of each tool before passing it to the next. Require explicit user approval for multi-step chains.
- high Tool Misuse · line 56 Tool calls are chained to bypass individual safety checks or escalate capabilities beyond what any single tool call would allow.Fix: Limit tool chaining depth and validate the output of each tool before passing it to the next. Require explicit user approval for multi-step chains.
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 | $0.00041 | $0.00341 |
| Opus 5 | $0.00020 | $0.00170 |
| Sonnet 5 | $0.00008 | $0.00068 |
| Haiku 4.5 | $0.00004 | $0.00034 |
Grade A, and why
clean 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 8d 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
Clean
Remove Kurtosis enclaves and leftover artifacts.
Basic clean
Removes only stopped enclaves and stopped engine containers:
kurtosis clean
Clean everything
Removes all enclaves (including running ones):
kurtosis clean -a
Selective removal
To remove a specific enclave without touching others:
# Stop an enclave
kurtosis enclave stop <enclave-name>
# Remove a specific enclave
kurtosis enclave rm <enclave-name>
When clean hangs
On Kubernetes, kurtosis clean -a can hang if the logs collector cleanup tries to create pods on tainted/unhealthy nodes. See the k8s-clean-cluster skill for manual cleanup steps.
On Docker, if clean hangs:
# Kill the hanging process
pkill -f "kurtosis clean"
# Manually remove containers
docker ps -a | grep kurtosis | awk '{print $1}' | xargs -r docker rm -f
# Remove networks
docker network ls | grep kurtosis | awk '{print $1}' | xargs -r docker network rm
# Restart engine
kurtosis engine start
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.
- 8d ago First seen · 61 lines · 41 tokens per session scan A dd8e3034a489
clean is a skill published in the GitHub repository kurtosis-tech/kurtosis (550 stars, last pushed 5d ago), licensed Apache-2.0. It adds 41 tokens to every session and 341 once invoked, about $0.0002 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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