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 golemcloud/golem --skill golem-troubleshoot-buildgit clone --depth 1 https://github.com/golemcloud/golemWrote 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/golemcloud/golem/golem-troubleshoot-build)<a href="https://agentmods.dev/skills/golemcloud/golem/golem-troubleshoot-build"><img src="https://agentmods.dev/badge/skills/golemcloud/golem/golem-troubleshoot-build/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/golemcloud/golem/golem-troubleshoot-build"><img src="https://agentmods.dev/badge/skills/golemcloud/golem/golem-troubleshoot-build.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 51 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
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 | $0.00075 | $0.01830 |
| Opus 5 | $0.00037 | $0.00915 |
| Sonnet 5 | $0.00015 | $0.00366 |
| Haiku 4.5 | $0.00007 | $0.00183 |
Grade A, and why
golem-troubleshoot-build 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 10d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 10d ago First seen · 168 lines · 75 tokens per session scan A 5b3c7dac9490
golem-troubleshoot-build is a skill published in the GitHub repository golemcloud/golem (1,514 stars, last pushed today), with no licence file. It adds 75 tokens to every session and 1,830 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 2026-08-30.
Other skills, from other repositories
files-inspect
Inspect, download, upload, and debug Kurtosis file artifacts. View artifacts in an enclave, download them locally for inspection, upload local files, and troubleshoot file mounting issues. Use when services can't find expected files or configs are wrong.
starlark-dev
Develop and debug Kurtosis Starlark packages. Create packages from scratch, understand the plan-based execution model, use print() debugging, handle future references, and test packages locally. Use when writing or troubleshooting .star files.
docker-debug
Debug Kurtosis running on local Docker. Inspect engine, API container, and service logs. Diagnose container crashes, port conflicts, and networking issues. Use when kurtosis commands fail or services aren't reachable on Docker.
cli-local-build
Build and test the Kurtosis CLI from source. Compile the CLI binary locally, run it against Docker or Kubernetes engines, and iterate on CLI changes without creating a release. Use when developing or debugging CLI commands.
enclave-inspect
Inspect and manage Kurtosis enclaves. List enclaves, view services and ports, examine file artifacts, dump enclave state for debugging, and clean up. Use when you need to understand what's running inside an enclave or export its state.
k8s-debug-pods
Debug Kurtosis pods on Kubernetes. Diagnose why pods are Pending, CrashLoopBackOff, ImagePullBackOff, or Evicted. Check node taints, tolerations, resource pressure, and pod events. Use when kurtosis engine start fails or pods aren't coming online.