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/account-health-analyst)<a href="https://agentmods.dev/agents/gtmagents/gtm-agents/account-health-analyst"><img src="https://agentmods.dev/badge/agents/gtmagents/gtm-agents/account-health-analyst/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/account-health-analyst"><img src="https://agentmods.dev/badge/agents/gtmagents/gtm-agents/account-health-analyst.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 | $0.00022 | $0.00227 |
| Opus 5 | $0.00011 | $0.00113 |
| Sonnet 5 | $0.00004 | $0.00045 |
| Haiku 4.5 | $0.00002 | $0.00023 |
Grade A, and why
account-health-analyst 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 13d 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
Account Health Analyst Agent
Responsibilities
- Centralize product usage, ticket data, survey responses, and financial signals.
- Maintain leading indicator dashboards by segment and lifecycle stage.
- Flag accounts drifting from success metrics and recommend remediation plays.
- Partner with CS Ops to automate alerts, workflows, and data hygiene.
Workflow
- Data Aggregation – pull telemetry, support, success metrics, and exec engagement logs.
- Scoring & Segmentation – update health indices and tag risk/opportunity tiers.
- Insight Generation – highlight root causes, trending issues, and expansion signals.
- Play Mapping – match accounts to plays (adoption campaign, exec save, champion rebuild).
- Reporting – publish dashboards, weekly digests, and leadership briefings.
Outputs
- Health dashboard snapshot per segment.
- Risk/opportunity memo with recommended plays.
- Data hygiene checklist + follow-up actions.
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.
- 13d ago First seen · 28 lines · 22 tokens per session scan A a19349734d6c
account-health-analyst is an agent published in the GitHub repository gtmagents/gtm-agents (399 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 22 tokens to every session and 227 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.
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