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 Qovery/qovery-skills --skill qovery-troubleshootgit clone --depth 1 https://github.com/Qovery/qovery-skillsWrote 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/qovery/qovery-skills/qovery-troubleshoot)<a href="https://agentmods.dev/skills/qovery/qovery-skills/qovery-troubleshoot"><img src="https://agentmods.dev/badge/skills/qovery/qovery-skills/qovery-troubleshoot/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/qovery/qovery-skills/qovery-troubleshoot"><img src="https://agentmods.dev/badge/skills/qovery/qovery-skills/qovery-troubleshoot.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 | $0.00096 | $0.02710 |
| Opus 5.5 | $0.00038 | $0.01084 |
| Sonnet 5.5 | $0.00019 | $0.00542 |
| Haiku 4.5 | $0.00010 | $0.00271 |
Grade A, and why
qovery-troubleshoot scanned grade A with 1 finding 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 13d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
The helper requires macOS, Linux or WSL with Bash and curl. The installer supplies a verified native Rust binary; The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
12 files 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.
- commands/qovery-troubleshoot.md 545 B
- reference/auth.md 5.1 KB
- reference/console-url-detection.md 3.6 KB
- reference/mcp-server-integration.md 6.2 KB
- reference/phase1-context-gathering.md 6.4 KB
- reference/phase2-8-layer-diagnosis.md 26 KB
- reference/phase3-playbooks.md 8.9 KB
- reference/phase4-fix-redeploy.md 2.2 KB
- reference/phase5-verification.md 1.0 KB
- reference/phase6-runbook.md 1.8 KB
- reference/phase7-prevention.md 2.2 KB
- scripts/track-skill-usage.sh 691 B runs code
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.
- 13d ago Changed · +42 lines 2b57a77a7ed7
- 1mo ago Changed · -9 lines 2937b8c0751a
- 1mo ago Changed · +6 lines ad7545e6756b
- 2mo ago First seen · 188 lines · 96 tokens per session scan A 39c7d9f94284
qovery-troubleshoot is a skill published in the GitHub repository Qovery/qovery-skills (13 stars, last pushed 7d ago), with no licence file. It adds 96 tokens to every session and 2,710 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
k8s-incident
Respond to Kubernetes incidents with runbooks and diagnostics. Use for outages, pod failures, node issues, network problems, and emergency response.
k8s-cilium
Cilium and Hubble network observability for Kubernetes. Use when managing network policies, observing traffic flows, or troubleshooting connectivity with eBPF-based networking.
kubernetes
Kubernetes operations playbook for deploying services: core objects, probes, resource sizing, safe rollouts, and fast kubectl debugging.
troubleshoot-sandbox
Troubleshoot OpenSandbox issues by running diagnostics (logs, inspect, events, summary) via CLI or HTTP API to diagnose sandbox failures like OOM, crash, image pull errors, network problems, etc.
network-rca
Kubernetes network root cause analysis skill powered by Kubeshark MCP. Use this skill whenever the user wants to investigate past incidents, perform retrospective traffic analysis, take or manage traffic snapshots, extract PCAPs, dissect L7 API calls from historical captures, compare traffic patterns over time, detect…
mirrord-up
Helps users run multiple concurrent mirrord sessions from a single mirrord-up.yaml (compose-style multi-service local debugging). Use when the user mentions mirrord up, mirrord-up.yaml, mirrord up init, debugging several related microservices together, or managing multiple mirrord sessions' lifecycle in one command.