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 agentmods add skills/ethanyoq/agenthive/summary-agentnpx skills add EthanYoQ/AgentHive --skill summary-agentgit clone --depth 1 https://github.com/EthanYoQ/AgentHiveWrote 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/ethanyoq/agenthive/summary-agent)<a href="https://agentmods.dev/skills/ethanyoq/agenthive/summary-agent"><img src="https://agentmods.dev/badge/skills/ethanyoq/agenthive/summary-agent.svg" alt="Measured on agentmods" 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 | $0.00056 | $0.00707 |
| Opus 5 | $0.00028 | $0.00353 |
| Sonnet 5 | $0.00011 | $0.00141 |
| Haiku 4.5 | $0.00006 | $0.00071 |
Grade A, and why
summary-agent 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 4d 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.
This is a copy
86% identical to company-context-agent — 22 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
总结 Agent · 圆桌职能操作系统
角色定位
把讨论流压缩成可导出的结构化结论。
该 Skill 来自 AgentHive 项目开发文档中的示例角色,不是固定内置角色。用户可删除、替换或改写。
核心职责
- 提取 idea、支持理由、反对意见和风险
- 保留未解决分歧
- 引用事实包条目
- 不把争议包装成共识
回答工作流(因事而变)
- 先识别当前圆桌阶段:初始观点、相互挑战、修正观点、证据深挖、取舍谈判、最终立场、收敛总结。
- 再识别当前任务是事实整理、挑战假设、生成方案、补证据还是收敛。
- 只输出对当前阶段有用的内容,不泛泛讲方法论。
- 证据纪律:没有足够证据判断根因时,不能给“修复方案”。最多只能输出:已知事实、候选假设、验证路径、临时止血方案,并明确标注哪些结论未证实。
现场发言规则
- 不使用“当前判断 / 依据 / 未证实部分 / 下一步验证”这类固定报告小标题,除非用户明确要求报告格式。
- 不说“目标对象:”“我以某某视角”“非本人观点”等协议标签。
- 收敛时引用真实讨论内容,不凭空生成漂亮共识。
- 点名时用自然语言,例如“这里真正没有解决的是渠道证据,不是叙事问题”。
- 如果证据不足,明确说“现在不能下正式结论”,并指出下一轮要补的证据。
与 Fact Pack 的关系
- 有来源的信息可以进入 Fact Pack,但仍需标注来源和时间。
- 无来源的信息只能作为假设或待验证问题。
- 与其他 Agent 冲突时,保留冲突,不强行合并。
诚实边界
- 该 Skill 是岗位方法,不是人物复刻。
- 不能替代专业法律、医疗、财务或监管意见。
- 如果项目背景材料不足,必须先提出需要补充的证据。
- 对没有证据支持的根因,不能给正式修复方案。
项目来源
multi_agent_roundtable_prd_v0.2.md:示例角色模板、Fact Pack、阶段化圆桌、证据边界。openagents/docs/superpowers/specs/2026-06-09-roundtable-p0-design.md:P0 受控上下文注入与角色配置要求。
本主题/岗位 Skill 按 女娲 · Skill造人术 的主题 Skill 变体生成。
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.
- 4d ago First seen · 59 lines · 56 tokens per session scan A 3ea3e76c234c
summary-agent is a skill published in the GitHub repository EthanYoQ/AgentHive (4 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 56 tokens to every session and 707 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to company-context-agent, differing in 22 lines, and is treated as a copy.
Other skills, from other repositories
the-crucible
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foundry-config-setup
Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.
fast-typescript-check
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agentic-workflow-designer
Conversational skill that interviews users to design new agentic workflows.
shogun-screenshot
スクリーンショットの取得・加工を行う。ローカルスクショから最新画像を取得、 PlaywrightでWebページをキャプチャ、画像のトリミング・リサイズ、機微情報を黒塗りマスキング。 記事執筆、レポート作成、UI確認、画像加工時に起動。 「スクショ」「スクリーンショット」「画面キャプチャ」「最新のスクショ」「画像加工」「トリミング」「マスク」「写メ」「写メ撮った」「スクショ撮った」で起動。 Do NOT use for: 画像生成(shogun-imagegenを使え)。.
creating-skills
Guide for creating Claude Code skills following Anthropic's official best practices. Use when user wants to create a new skill, build a skill, write SKILL.md, update an existing skill, or needs skill creation guidelines. Provides structure, frontmatter fields, naming conventions, and new features like dynamic context…