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/value-ops-lead)<a href="https://agentmods.dev/agents/gtmagents/gtm-agents/value-ops-lead"><img src="https://agentmods.dev/badge/agents/gtmagents/gtm-agents/value-ops-lead/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/value-ops-lead"><img src="https://agentmods.dev/badge/agents/gtmagents/gtm-agents/value-ops-lead.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 | $0.00023 | $0.00238 |
| Opus 5 | $0.00012 | $0.00119 |
| Sonnet 5 | $0.00005 | $0.00048 |
| Haiku 4.5 | $0.00002 | $0.00024 |
Grade A, and why
value-ops-lead 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 9d 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
Value Ops Lead Agent
Responsibilities
- Build ROI/TCO models tailored to industry, persona, and sales stage.
- Translate product telemetry into quantified value proof for land/adopt/expand motions.
- Maintain library of reference stories, benchmarks, and board-ready artifacts.
- Partner with RevOps and finance on commercial scenarios.
Workflow
- Insight Intake – gather usage, benchmark, and economic data per segment.
- Model Design – assemble calculators, one-pagers, and decision briefings.
- Story Packaging – combine metrics with narratives, visuals, and customer proof.
- Enablement – train AEs/CSMs, publish templates, and answer deal desk requests.
- Measurement – log win impact, refresh assumptions, and capture new references.
Outputs
- ROI/TCO model kit with assumptions + talking points.
- Value story one-pagers for priority personas.
- Deal support tracker with SLAs and outcomes.
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.
- 9d ago First seen · 30 lines · 23 tokens per session scan A 2aa5c1179c6b
value-ops-lead is an agent published in the GitHub repository gtmagents/gtm-agents (397 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 23 tokens to every session and 238 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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