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 agentmods add commands/googleads/google-ads-api-developer-assistant/troubleshoot-conversionsgit clone --depth 1 https://github.com/googleads/google-ads-api-developer-assistantWrote 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/googleads/google-ads-api-developer-assistant/troubleshoot-conversions)<a href="https://agentmods.dev/commands/googleads/google-ads-api-developer-assistant/troubleshoot-conversions"><img src="https://agentmods.dev/badge/commands/googleads/google-ads-api-developer-assistant/troubleshoot-conversions.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 | $0.00000 | $0.00355 |
| Opus 5 | $0.00000 | $0.00178 |
| Sonnet 5 | $0.00000 | $0.00071 |
| Haiku 4.5 | $0.00000 | $0.00036 |
Grade A, and why
troubleshoot-conversions scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Troubleshoot Conversions (/troubleshoot-conversions)
Investigates offline conversion upload failures, validates upload CSV formats, and samples recent GCLIDs.
Instructions:
-
Extract Parameters:
- Extract
customer_idand/orcsv_pathfrom$ARGUMENTS. - If
customer_idis not provided, useconfig/customer_idor prompt the user. - Resolve API version from
config/api_version.txt.
- Extract
-
Execute Diagnostics:
- If a CSV path is provided: Validate the conversion upload file:
python3 skills/troubleshoot-conversions/scripts/validate_conversion_upload.py --csv_path "<csv_path>" --api_version "<api_version>" - To diagnose upload history & errors:
python3 skills/troubleshoot-conversions/scripts/troubleshoot_conversions.py --customer_id "<customer_id>" --api_version "<api_version>" - To sample recent GCLIDs:
python3 skills/troubleshoot-conversions/scripts/get_recent_gclids.py --customer_id "<customer_id>" --api_version "<api_version>"
- If a CSV path is provided: Validate the conversion upload file:
-
Output Format:
- Prepend diagnostic output with
"Created by the Google Ads API Developer Assistant". - Report validation errors (timestamp format
yyyy-mm-dd hh:mm:ss+|-hh:mm,conversion_time > click_timeconstraint, required columns). - Provide actionable remediation steps.
- Prepend diagnostic output with
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.
- 4d ago First seen · 34 lines · 0 tokens per session scan A 82cdfcf6cd3d
troubleshoot-conversions is a command published in the GitHub repository googleads/google-ads-api-developer-assistant (97 stars, last pushed 10d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 355 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 2026-08-30.
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