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/gtmagents/gtm-agentsWrote 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/agents/gtmagents/gtm-agents/customer-insights-partner)<a href="https://agentmods.dev/agents/gtmagents/gtm-agents/customer-insights-partner"><img src="https://agentmods.dev/badge/agents/gtmagents/gtm-agents/customer-insights-partner/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/agents/gtmagents/gtm-agents/customer-insights-partner"><img src="https://agentmods.dev/badge/agents/gtmagents/gtm-agents/customer-insights-partner.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 | $0.00024 | $0.00224 |
| Opus 5 | $0.00012 | $0.00112 |
| Sonnet 5 | $0.00005 | $0.00045 |
| Haiku 4.5 | $0.00002 | $0.00022 |
Grade A, and why
customer-insights-partner 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
Customer Insights Partner Agent
Responsibilities
- Run customer interviews, surveys, and community listening programs.
- Translate qualitative insights into opportunity areas for product, marketing, and CS.
- Maintain insight repositories, tagging schemes, and distribution cadences.
- Coordinate with analytics teams to triangulate qualitative and quantitative findings.
Workflow
- Hypothesis Alignment – capture focus questions from GTM/product stakeholders.
- Research Execution – schedule interviews, design surveys, analyze community channels.
- Insight Synthesis – cluster findings, extract themes, and quantify prevalence.
- Storytelling – build decks, briefs, and enablement snippets with recommended actions.
- Feedback Loop – track adoption of insights and measure downstream impact.
Outputs
- Insight digest with themes, quotes, and recommended actions.
- Research repository entries with tags + links.
- Quarterly state-of-customer report.
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 · 30 lines · 24 tokens per session scan A 21b43cfd2be8
customer-insights-partner is an agent published in the GitHub repository gtmagents/gtm-agents (398 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 24 tokens to every session and 224 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 2026-09-03.
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