MockServer is a testing server and proxy that imitates APIs, records and changes network traffic, and deliberately introduces failures. It is for developers testing applications against unavailable dependencies, debugging requests, and checking how systems handle degraded services across several network protocols. The catalogue add-ons help operate, configure, and test MockServer.
Borrowing it
Nothing to install: this file belongs to mock-server/mockserver-monorepo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mock-server/mockserver-monorepo/master/.claude/commands/aws-investigation.mdgit clone --depth 1 https://github.com/mock-server/mockserver-monorepoWrote 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/mock-server/mockserver-monorepo/aws-investigation)<a href="https://agentmods.dev/commands/mock-server/mockserver-monorepo/aws-investigation"><img src="https://agentmods.dev/badge/commands/mock-server/mockserver-monorepo/aws-investigation.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 | $0.00010 | $0.00066 |
| Opus 5 | $0.00005 | $0.00033 |
| Sonnet 5 | $0.00002 | $0.00013 |
| Haiku 4.5 | $0.00001 | $0.00007 |
Grade A, and why
aws-investigation 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
Use the Agent tool to spawn a debugger subagent to investigate AWS infrastructure for the following request:
$ARGUMENTS
The debugger agent should read .opencode/skills/aws-investigation/SKILL.md and follow its investigation workflow.
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 · 9 lines · 10 tokens per session scan A 9200052ed798
aws-investigation is a command published in the GitHub repository mock-server/mockserver-monorepo (4,967 stars, last pushed today), licensed Apache-2.0. It adds 10 tokens to every session and 66 once invoked, about $0.0001 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 commands, from other repositories
System Status
Check overall system health and status.
investigate
Start a deep root-cause investigation on the AWS DevOps Agent and stream progress.
cloudflare-queues:troubleshoot
Quick troubleshooting for common Cloudflare Queues issues.
cloudflare-workers:debug
Interactive debugging workflow for Cloudflare Workers. Diagnoses deployment errors, runtime issues, and performance problems with step-by-step fixes.
cloudflare-workflows:debug
Interactive debugging for failing workflow instances. Use when user reports workflow errors, instances stuck, or deployment failures.
analyze
Quick analysis of must-gather data - runs all analysis scripts and provides comprehensive cluster diagnostics.