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 skills add hamzabellouch/agent-skills --skill data-manager-api-audience-ingestiongit clone --depth 1 https://github.com/hamzabellouch/agent-skillsWrote 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/skills/hamzabellouch/agent-skills/data-manager-api-audience-ingestion)<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/data-manager-api-audience-ingestion"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/data-manager-api-audience-ingestion/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/skills/hamzabellouch/agent-skills/data-manager-api-audience-ingestion"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/data-manager-api-audience-ingestion.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 | $0.00090 | $0.02046 |
| Opus 5 | $0.00045 | $0.01023 |
| Sonnet 5 | $0.00018 | $0.00409 |
| Haiku 4.5 | $0.00009 | $0.00205 |
Grade A, and why
data-manager-api-audience-ingestion 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.
Data Manager API Audience Ingestion
Implementation Workflow
Prerequisites
- Authentication & Library Installation: If you need to set up access to
the Data Manager API or install the client and utility libraries, refer to
the
data-manager-api-setupskill.
Step 1: Identify Use Case & Read Documentation
- Determine Destination Account Type: [CRITICAL] If it's not
explicitly stated, STOP and CLARIFY with the user where the data is being
sent (e.g., Google Ads, Display & Video 360, etc.) BEFORE generating any
code. Do not assume Google Ads by default. This maps to the
account_typefield of theoperating_accountin theDestination. - Read Documentation: [CRITICAL] Follow the upload guide for
your destination to implement the integration, as steps for configuring
and sending the request may vary between destinations:
- Google Ads Customer Match: Upload members to an audience
- DV360 Customer Match: Upload members to an audience
Step 2: Retrieve Code Sample
[!IMPORTANT] If writing or updating an ingestion script, ALWAYS retrieve the relevant code sample to use as a reference:
| Language | Sample |
|---|---|
| Python | ingest_audience_members.py |
| Java | IngestAudienceMembers.java |
| PHP | ingest_audience_members.php |
| Node | ingest_audience_members.ts |
| .NET | IngestAudienceMembers.cs |
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 · 90 tokens per session scan A d6756c1fdcb7
data-manager-api-audience-ingestion is a skill published in the GitHub repository hamzabellouch/agent-skills (4 stars, last pushed 1mo ago), licensed MIT. It adds 90 tokens to every session and 2,046 once invoked, about $0.0005 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 2026-08-31.
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