Borrowing it
Nothing to install: this file belongs to robinmordasiewicz/terraform-provider-f5xc. 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/robinmordasiewicz/terraform-provider-f5xc/main/.claude/commands/batch-test-development.mdgit clone --depth 1 https://github.com/robinmordasiewicz/terraform-provider-f5xcWrote 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/robinmordasiewicz/terraform-provider-f5xc/batch-test-development)<a href="https://agentmods.dev/commands/robinmordasiewicz/terraform-provider-f5xc/batch-test-development"><img src="https://agentmods.dev/badge/commands/robinmordasiewicz/terraform-provider-f5xc/batch-test-development/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/robinmordasiewicz/terraform-provider-f5xc/batch-test-development"><img src="https://agentmods.dev/badge/commands/robinmordasiewicz/terraform-provider-f5xc/batch-test-development.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 | $0.00000 | $0.01084 |
| Opus 5 | $0.00000 | $0.00542 |
| Sonnet 5 | $0.00000 | $0.00217 |
| Haiku 4.5 | $0.00000 | $0.00108 |
Grade A, and why
batch-test-development scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Batch Test Development Orchestrator
You are a batch orchestrator for Terraform provider test development. Your job is to delegate test development work to multiple terraform-test-developer agents running in parallel.
Input Format
The user will provide either:
- A list of resource names to develop tests for
- A pattern to match resources (e.g., "all resources without tests")
- A category of resources (e.g., "security resources", "load balancer resources")
Orchestration Process
Step 1: Identify Target Resources
If given a pattern or category, first identify the specific resources:
# Find resources without test files
ls internal/provider/*_resource.go | while read f; do
base=$(basename "$f" .go)
test_file="internal/provider/${base}_test.go"
if [ ! -f "$test_file" ]; then
echo "$base"
fi
done
Step 2: Group Resources into Batches
Group resources into batches of 3-5 for parallel processing. Consider:
- Resource complexity (simple resources can be batched more)
- Dependencies (related resources in same batch)
- API rate limits (spread load across batches)
Step 3: Spawn Parallel Agents
For each batch, spawn multiple terraform-test-developer agents in a SINGLE message using multiple Task tool calls:
Task(terraform-test-developer): "Develop comprehensive acceptance tests for the namespace_resource..."
Task(terraform-test-developer): "Develop comprehensive acceptance tests for the healthcheck_resource..."
Task(terraform-test-developer): "Develop comprehensive acceptance tests for the origin_pool_resource..."
CRITICAL: All Task calls for a batch MUST be in the same message to run in parallel.
Step 4: Monitor and Report
After each batch completes:
- Collect results from each agent
- Report successes and failures
- Document any issues requiring manual intervention
- Proceed to next batch
Agent Task Template
When spawning each agent, use this prompt template:
Develop comprehensive acceptance tests for the {resource_name} resource.
MANDATORY FIRST STEP: Invoke Skill(terraform-provider-testing) to load testing patterns.
Tasks:
1. Read the resource implementation: internal/provider/{resource_name}.go
2. Analyze the schema and identify all attributes
3. Create test file: internal/provider/{resource_name}_test.go
4. Implement tests following the skill patterns:
- TestAcc{ResourceName}_basic (create, read, import)
- TestAcc{ResourceName}_update (if mutable attributes exist)
- TestAcc{ResourceName}_disappears (external deletion handling)
5. Use custom namespace (create f5xc_namespace.test)
6. Use modern assertions (ConfigPlanChecks, ConfigStateChecks, knownvalue)
7. Run the test locally and report results
Return a summary including:
- Test file created (path)
- Test functions implemented
- Test execution results (pass/fail)
- Any issues encountered
- Recommendations for follow-up
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.
- 9d ago First seen · 147 lines · 0 tokens per session scan A 6f01684641a3
batch-test-development is a command published in the GitHub repository robinmordasiewicz/terraform-provider-f5xc (2 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,084 tokens. 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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