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/JosiahSiegel/claude-plugin-marketplaceWrote 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/josiahsiegel/claude-plugin-marketplace/adf-debug)<a href="https://agentmods.dev/commands/josiahsiegel/claude-plugin-marketplace/adf-debug"><img src="https://agentmods.dev/badge/commands/josiahsiegel/claude-plugin-marketplace/adf-debug/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/josiahsiegel/claude-plugin-marketplace/adf-debug"><img src="https://agentmods.dev/badge/commands/josiahsiegel/claude-plugin-marketplace/adf-debug.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 | $0.00017 | $0.01093 |
| Opus 5 | $0.00009 | $0.00547 |
| Sonnet 5 | $0.00003 | $0.00219 |
| Haiku 4.5 | $0.00002 | $0.00109 |
Grade A, and why
adf-debug 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.
How it starts
The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADF Pipeline Debugger
Analyze Azure Data Factory pipeline errors and provide targeted solutions.
Task
Debug the provided ADF error or pipeline issue and provide specific remediation steps.
Arguments
$ARGUMENTS: Either:- An error message or error code from ADF
- A pipeline name to analyze for potential issues
- A description of the failure behavior
Common Error Patterns and Solutions
Activity Errors
ErrorCode: UserErrorActivityRunFailed
- Check activity-specific error in
error.message - Common causes: connection timeout, invalid query, permission denied
- Solution: Validate linked service connectivity, check firewall rules
ErrorCode: UserErrorFailedToReadSourceData
- Source data unavailable or inaccessible
- Check: file exists, permissions granted, network accessible
- For Blob: verify container/path, SAS token not expired
ErrorCode: UserErrorFailedToWriteSinkData
- Cannot write to destination
- Check: sink permissions, disk space, schema compatibility
- For SQL: verify table exists, columns match, constraints satisfied
Copy Activity Errors
ErrorCode: SqlServerCannotConnect
Solutions:
1. Verify server name and database name
2. Check firewall allows Azure services or specific IPs
3. Verify credentials (SQL auth) or role assignments (MI/SP)
4. For serverless: implement retry for auto-pause wake-up
ErrorCode: CosmosDbPartitionKeyRangeTooLarge
Solutions:
1. Increase Data Integration Units (DIUs)
2. Add WHERE clause to limit data per copy
3. Partition the copy by date or other key
Data Flow Errors
ErrorCode: DF-EXECUTOR-InvalidDataType
Solutions:
1. Check source column types vs expected types
2. Add explicit cast/convert in transformation
3. Verify date format matches expected pattern
ErrorCode: DF-EXECUTOR-OutOfMemory
Solutions:
1. Increase cluster size (Core Count)
2. Add partitioning before memory-intensive operations
3. Use broadcast join for small dimension tables
4. Optimize transformations to reduce intermediate data
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 · 179 lines · 17 tokens per session scan A 842b5c83148e
adf-debug is a command published in the GitHub repository JosiahSiegel/claude-plugin-marketplace (54 stars, last pushed 2mo ago), licensed MIT. It adds 17 tokens to every session and 1,093 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.
cluster-health-check
Perform comprehensive health check on HCP cluster and report issues.