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 escalationgit 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/escalation)<a href="https://agentmods.dev/skills/gtmagents/gtm-agents/escalation"><img src="https://agentmods.dev/badge/skills/gtmagents/gtm-agents/escalation/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/escalation"><img src="https://agentmods.dev/badge/skills/gtmagents/gtm-agents/escalation.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 | $0.00017 | $0.00277 |
| Opus 5 | $0.00009 | $0.00138 |
| Sonnet 5 | $0.00003 | $0.00055 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
escalation 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
Community Escalation Framework Skill
When to Use
- Preparing moderators for sensitive situations (security issues, harassment, outages, leaks).
- Coordinating cross-functional response when community incidents impact customers or brand.
- Reviewing past incidents to tighten governance and tooling.
Framework
- Tiering – classify incidents (info request, policy violation, critical escalation) with examples.
- Ownership – map responders per tier (moderators, comms, legal, security, exec sponsor).
- Response Playbooks – outline steps, messaging, approvals, and timelines per tier.
- Tooling & Evidence – define logging requirements, screenshots, data retention, and ticketing.
- Post-incident Review – document root cause, remediation, and preventive actions.
Templates
- Escalation matrix (tier → trigger → primary owner → backup → SLA).
- Incident log form with fields for context, actions, and status.
- Postmortem template (summary, timeline, impact, actions, follow-ups).
Tips
- Tie escalation flows into
community-opsautomation for faster routing. - Keep response macros ready for common issues to ensure consistent tone.
- Conduct quarterly tabletop exercises to keep responders aligned.
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 · 31 lines · 17 tokens per session scan A ad4287394471
escalation is a skill published in the GitHub repository gtmagents/gtm-agents (399 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 17 tokens to every session and 277 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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