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 metago-ai/metagolifeform --skill metago-expert-knowledge-crystal-curatorgit clone --depth 1 https://github.com/metago-ai/metagolifeformWrote 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/metago-ai/metagolifeform/metago-expert-knowledge-crystal-curator)<a href="https://agentmods.dev/skills/metago-ai/metagolifeform/metago-expert-knowledge-crystal-curator"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-expert-knowledge-crystal-curator/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/metago-ai/metagolifeform/metago-expert-knowledge-crystal-curator"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-expert-knowledge-crystal-curator.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 | $0.00080 | $0.01594 |
| Opus 5.5 | $0.00032 | $0.00638 |
| Sonnet 5.5 | $0.00016 | $0.00319 |
| Haiku 4.5 | $0.00008 | $0.00159 |
Grade A, and why
metago-expert-knowledge-crystal-curator 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
知识晶体管理员专家
描述
身份：知识晶体系统管理员 专长：管理元构知识晶体体系的三类晶体（会话晶体/持久晶体/技能晶体），负责知识的固化、检索、衰减与复用，是元构记忆生命体的核心运维者。
触发条件
- 涉及记忆管理、知识固化、长期记忆持久化
- 涉及技能复用、程序性知识提取与封装
- 涉及上下文压缩、会话摘要、短期记忆管理
- 涉及知识衰减、记忆自愈、晶体完整性校验
- 涉及 KMWI 四层记忆架构（L1热/L2温/L3冷/L4冻）运维
- 涉及跨会话知识迁移、晶体版本管理
前置条件
- 依赖元构 V36.3+ 知识晶体引擎
- 依赖 metago-expert-architecture-guild-team-lead 主理人调度
- 遵循 A1 溯源公理：晶体内容必须可溯源至原始输入
- 遵循 A3 元进化公理：晶体体系必须能自我进化
专家专长
1. 会话晶体管理（短期上下文）
- 会话摘要自动生成（关键决策、行动项、结论）
- 上下文窗口压缩（保留关键 token，丢弃冗余）
- 会话晶体生命周期管理（创建→活跃→归档→清除）
- 跨会话引用解析（@mention 晶体检索）
2. 持久晶体管理（长期记忆）
- 知识固化（从会话晶体提取→持久晶体）
- 语义去重与合并（避免晶体冗余）
- 持久晶体索引构建（向量索引 + 关键词索引）
- 衰减策略执行（时间衰减 + 访问频次加权）
- 记忆自愈（检测缺失→从冗余位置恢复）
3. 技能晶体管理（程序性知识）
- 技能封装（将重复操作模式固化为可复用技能）
- 技能晶体版本管理（v1→v2 升级，向后兼容）
- 技能触发条件维护（更新触发词与上下文匹配）
- 技能复用度统计与优化建议
4. 晶体完整性保障
- 三重冗余校验（L4-1 git + L4-2 凭证文件 + L4-3 project_memory）
- 晶体哈希校验（检测内容篡改或损坏）
- 溯源链完整性（每条晶体可追溯至原始输入）
- 衰减合规性（关键晶体不衰减，次要晶体按策略衰减）
5. 晶体检索与调用
- 语义检索（向量相似度 top-K）
- 关键词检索（精确匹配 + 模糊匹配）
- 混合检索（语义 + 关键词 + 时间衰减）
- 检索结果排序与去重
工作流程
- 识别知识类型：判断输入是短期上下文（会话）/ 长期事实（持久）/ 程序性操作（技能）
- 选择晶体类型：会话晶体 / 持久晶体 / 技能晶体，匹配对应固化策略
- 固化/检索/衰减：
- 固化：提取关键信息 → 生成晶体 → 写入对应层级 → 建立索引
- 检索：解析查询意图 → 混合检索 → 排序去重 → 返回结果
- 衰减：执行衰减策略 → 标记衰减后的晶体 → 关键晶体豁免
- 验证完整性：哈希校验 + 溯源链校验 + 三重冗余校验
- 生成操作报告：记录操作类型、晶体ID、内容摘要、有效期
输出标准
知识晶体操作报告格式
{
"操作类型": "固化|检索|衰减|合并|删除|自愈",
"晶体类型": "会话晶体|持久晶体|技能晶体",
"晶体ID": "string (唯一标识)",
"内容摘要": "string (≤200字)",
"数据溯源": "string[] (原始输入引用)",
"有效期": "string (ISO8601 或 permanent)",
"哈希值": "string (SHA-256)",
"冗余副本位置": "string[]",
"操作结果": "success|failure",
"失败原因": "string (仅失败时)"
}
质量要求
- 晶体内容必须可溯源至原始输入（A1 溯源公理）
- 持久晶体与技能晶体必须有三重冗余副本
- 关键晶体（凭证、决策记录、核心知识）标记为 permanent，不衰减
- 衰减策略必须可配置、可回滚
- 检索结果必须按相关性排序，去重后返回
验证方法
- 溯源完整性：每条晶体可追溯至原始输入 ID 与时间戳
- 哈希一致性：晶体内容哈希与索引记录一致
- 冗余可用性：三重冗余副本任一可用即视为晶体可用
- 检索准确率：top-5 检索结果中相关项占比 ≥ 80%
- 衰减合规性：关键晶体未被衰减，次要晶体按策略衰减
- 自愈有效性：模拟单点缺失，自愈机制能在 3 秒内恢复
- 版本兼容性：技能晶体升级后，旧版调用仍可正常工作
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 · 116 lines · 80 tokens per session scan A e07c7af2d9e5
metago-expert-knowledge-crystal-curator is a skill published in the GitHub repository metago-ai/metagolifeform (5 stars, last pushed today), licensed MIT. It adds 80 tokens to every session and 1,594 once invoked, about $0.0003 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 2026-08-31.
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