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 gtmagents/gtm-agents --skill whitepapersgit 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/skills/gtmagents/gtm-agents/whitepapers)<a href="https://agentmods.dev/skills/gtmagents/gtm-agents/whitepapers"><img src="https://agentmods.dev/badge/skills/gtmagents/gtm-agents/whitepapers/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/gtmagents/gtm-agents/whitepapers"><img src="https://agentmods.dev/badge/skills/gtmagents/gtm-agents/whitepapers.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 | $0.00021 | $0.00263 |
| Opus 5 | $0.00010 | $0.00131 |
| Sonnet 5 | $0.00004 | $0.00053 |
| Haiku 4.5 | $0.00002 | $0.00026 |
Grade A, and why
whitepapers 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
Whitepapers Skill
When to Use
- Deep-dives for regulated or technical buyers (finance, healthcare, energy).
- Support ABM campaigns with detailed solution explainers.
- Repurpose product research into demand-gen anchors.
Framework
- Audience & Compliance – confirm regulatory constraints, required disclaimers, reading level.
- Outline – Executive summary, background, methodology, findings, recommendations, CTA.
- Research Layer – cite third-party analysts, customer benchmarks, proprietary data.
- Design Considerations – include charts, call-out boxes, and glossary; ensure accessibility.
- Peer Review – involve product/legal SMEs for accuracy.
Templates
- Draft manuscript with references + citations.
- Data appendix or methodology section.
- Design brief with layout guidance.
- Campaign kit (landing page copy, nurture email, social teasers).
Tips
- Maintain a citation log to accelerate compliance reviews.
- Use modular sections so data refreshes don’t require full rewrites.
- Pair launch with derivative assets (blogs, webinars) to extend shelf life.
- Version-control legal-approved language for regulated industries.
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 · 33 lines · 21 tokens per session scan A 4d6d315e46f4
whitepapers is a skill published in the GitHub repository gtmagents/gtm-agents (399 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 21 tokens to every session and 263 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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