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.
git clone --depth 1 https://github.com/controlplane-com/ai-pluginWrote 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/commands/controlplane-com/ai-plugin/troubleshoot)<a href="https://agentmods.dev/commands/controlplane-com/ai-plugin/troubleshoot"><img src="https://agentmods.dev/badge/commands/controlplane-com/ai-plugin/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/commands/controlplane-com/ai-plugin/troubleshoot"><img src="https://agentmods.dev/badge/commands/controlplane-com/ai-plugin/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 | $0.00019 | $0.00217 |
| Opus 5.5 | $0.00008 | $0.00087 |
| Sonnet 5.5 | $0.00004 | $0.00043 |
| Haiku 4.5 | $0.00002 | $0.00022 |
Grade A, and why
troubleshoot 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 1mo 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
Diagnose and fix the Control Plane workload the user named.
Use the cpln-workload-troubleshooter agent — it loads the workload-troubleshooting skill (the full failure catalog) and works read-only first:
- Gather state — per-location deployments and readiness, events, and logs.
- Map the symptom to its root cause: OOMKilled, image pull, secret access, port mismatch, firewall, health probes, resource limits, autoscaling, termination, volumes, service-to-service, or dedicated load balancer.
- Present each issue as what's wrong (with evidence), why, and the exact fix.
- Apply only after I approve, then re-check readiness across locations and confirm the endpoint responds.
If no workload was named, ask for it (and the GVC) — never guess.
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.
- 1mo ago First seen · 17 lines · 19 tokens per session scan A 3c18f2f0d2eb
troubleshoot is a command published in the GitHub repository controlplane-com/ai-plugin (11 stars, last pushed 5d ago), licensed MIT. It adds 19 tokens to every session and 217 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.
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