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/commands/gtmagents/gtm-agents/activate-program)<a href="https://agentmods.dev/commands/gtmagents/gtm-agents/activate-program"><img src="https://agentmods.dev/badge/commands/gtmagents/gtm-agents/activate-program/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/commands/gtmagents/gtm-agents/activate-program"><img src="https://agentmods.dev/badge/commands/gtmagents/gtm-agents/activate-program.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 | $0.00018 | $0.00347 |
| Opus 5 | $0.00009 | $0.00173 |
| Sonnet 5 | $0.00004 | $0.00069 |
| Haiku 4.5 | $0.00002 | $0.00035 |
Grade A, and why
activate-program 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
Command: activate-program
Inputs
- program – name or identifier for the advocacy initiative.
- type – program category (references, case-study, council, community spotlight).
- timeline – duration or due date for activation.
- owners – optional comma-separated team owners.
- incentives – optional description of rewards/benefits to manage.
Workflow
- Brief Assembly – pull candidate roster, goals, and compliance requirements.
- Outreach Planner – assign owners, craft outreach scripts, and log CRM tasks for each advocate.
- Consent & Legal – trigger approvals, NDAs, release forms, and references to brand/legal guidelines.
- Enablement Package – generate briefing docs, talking points, and content requirements.
- Tracking & Handoff – update advocacy dashboards, tag opportunities, and notify downstream teams (sales, PMM).
Outputs
- Program activation checklist with task owners and due dates.
- Outreach tracker (advocate, status, next action, incentive).
- Compliance packet with signed releases and approvals.
Agent/Skill Invocations
reference-manager– manages scheduling and fulfillment.advocacy-strategist– ensures overall roadmap alignment.reference-opsskill – enforces data/logging standards.advocate-sourcingskill – updates candidate status post outreach.
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 · 35 lines · 18 tokens per session scan A 913f33573333
activate-program is a command published in the GitHub repository gtmagents/gtm-agents (398 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 18 tokens to every session and 347 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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workpm
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