Borrowing it
Nothing to install: this file belongs to hrygo/hotplex. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/hrygo/hotplex/main/.agents/skills/hotplex-operator/SKILL.mdgit clone --depth 1 https://github.com/hrygo/hotplexWrote 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/hrygo/hotplex/hotplex-operator)<a href="https://agentmods.dev/skills/hrygo/hotplex/hotplex-operator"><img src="https://agentmods.dev/badge/skills/hrygo/hotplex/hotplex-operator/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/hrygo/hotplex/hotplex-operator"><img src="https://agentmods.dev/badge/skills/hrygo/hotplex/hotplex-operator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00054 | $0.00279 |
| Opus 5.5 | $0.00022 | $0.00112 |
| Sonnet 5.5 | $0.00011 | $0.00056 |
| Haiku 4.5 | $0.00005 | $0.00028 |
Grade A, and why
hotplex-operator 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 1mo 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
HotPlex operator
仅在用户明确授权主机或 Admin 操作时使用本 Skill。任何变更前先检查已安装命令的
--help，确认目标、影响和用户授权覆盖该具体副作用。
- 服务生命周期：references/service-lifecycle.md
- 首次初始化和重新配置：references/initialization.md
- 安装和更新：references/install-update.md
- 主机配置和内置 Skill 对账：references/configuration.md
- Admin 和审计操作：references/admin-audit.md
不要从诊断请求推断变更权限，不要从配置请求推断安装意图，也不要从更新检查推断重启 权限。报告结果和剩余风险时不得暴露凭据或私人元数据。
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 20 lines · 54 tokens per session scan A 314de7ced1ea
hotplex-operator is a skill published in the GitHub repository hrygo/hotplex (51 stars, last pushed 19d ago), licensed Apache-2.0. It adds 54 tokens to every session and 279 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other skills, from other repositories
reversi-master
Manage ChatGPT, Codex CLI, and Claude Code accounts and track quota in one place. Use multi-model smart routing with priority and automatic failover. Install AI tools and deploy local LLMs in one click.
Trash Talk
AI becomes provocative and mocks the opponent during gameplay.
dreaming
Maintain Signet's living ontology and memory substrate from transcripts, memory artifacts, source artifacts, notes, summaries, and imported records.
signet-recall
Use Signet-specific recall and source search from Codex without confusing it with Codex native memory.
signet-ontology
Navigate Signet ontology and knowledge graph state from Codex.
signet-save-note
Save explicit notes into Codex native memory through Signet.