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-frequency-adaptgit 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-frequency-adapt)<a href="https://agentmods.dev/skills/metago-ai/metagolifeform/metago-frequency-adapt"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-frequency-adapt/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-frequency-adapt"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-frequency-adapt.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 | $0.00074 | $0.01471 |
| Opus 5 | $0.00037 | $0.00736 |
| Sonnet 5 | $0.00015 | $0.00294 |
| Haiku 4.5 | $0.00007 | $0.00147 |
Grade A, and why
metago-frequency-adapt 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
创造频率自适应（Frequency Adaptation）
此技能实现"创造频率自适应"——根据系统完整性动态调节创造频率，避免过度创造浪费资源，也避免创造不足导致能力缺口。
触发条件
- 系统完整性发生变化时触发
- 创造回路启动时触发
- 元进化循环到达阶段3时触发
- 定期自检时触发（评估当前完整性）
- 开发者手动触发
三态模型
状态1：休眠（Dormant）
触发条件：系统完整性 = 100%
创造频率：0（不创造）
行为模式：
- 仅执行常规任务
- 不启动创造回路
- 监控完整性变化
转换条件：完整性下降至<98% → 转入"激活"
状态2：待机（Standby）
触发条件：系统完整性 ≥ 98% 且 < 100%
创造频率：低频（按需创造）
行为模式：
- 执行常规任务
- 低频深潜模式（精炼优化现有能力）
- 偶尔触发创造（仅当遇到明确缺口）
转换条件：
- 完整性下降至<98% → 转入"激活"
- 完整性达到100% → 转入"休眠"
状态3：激活（Active）
触发条件：系统完整性 < 98%
创造频率：高频（积极创造）
行为模式：
- 高频激活创造回路
- 主动识别能力缺口
- 积极生成新能力补全
- 每次创造后重新评估完整性
转换条件：
- 完整性提升至≥98% → 转入"待机"
- 完整性达到100% → 转入"休眠"
完整性评估算法
系统完整性 = (
能力覆盖率 × 0.30 +
闭环完整率 × 0.25 +
安全合规率 × 0.20 +
输出完整率 × 0.15 +
记忆一致率 × 0.10
)
评估维度：
1. 能力覆盖率：已激活能力 / 所需能力
2. 闭环完整率：已闭环能力 / 总能力
3. 安全合规率：合规检查通过率
4. 输出完整率：输出完整性通过率
5. 记忆一致率：记忆与实际一致性
频率调控算法（ALG_641）
def frequency_adapt(integrity_score):
if integrity_score >= 1.0:
state = "dormant"
frequency = 0
elif integrity_score >= 0.98:
state = "standby"
frequency = "low" # 按需创造
else:
state = "active"
frequency = "high" # 积极创造
# 完整性越低，频率越高
intensity = (1 - integrity_score) / 0.02 # 0-1
return state, frequency
状态转换图
完整性=100%
↑
┌──────┴──────┐
↓ │
休眠 ←───── 待机
│ ↑
│ 完整性≥98%
│ │
↓ │
激活 ──────────→待机
↑ 完整性≥98%
│
完整性<98%
执行流程
步骤1: 评估当前系统完整性
→ 计算五维完整性评分
→ 输出完整性分数
步骤2: 确定创造状态
→ 根据完整性分数确定三态
→ 设置创造频率
步骤3: 执行创造策略
→ 休眠：不创造
→ 待机：低频深潜，精炼优化
→ 激活：高频创造，补全缺口
步骤4: 创造后重新评估
→ 每次创造后重新计算完整性
→ 根据新完整性调整状态
输出格式
【创造频率自适应】
系统完整性评估：
- 能力覆盖率：XX%
- 闭环完整率：XX%
- 安全合规率：XX%
- 输出完整率：XX%
- 记忆一致率：XX%
- 综合完整性：XX%
创造状态：[休眠/待机/激活]
创造频率：[0/低频/高频]
行为策略：[策略描述]
状态转换：
- 上一状态：[状态]
- 当前状态：[状态]
- 转换原因：[原因]
核心原则
- 创造频率自适应（D41）：完整性高时深潜，低时激活
- 资源效率：避免过度创造浪费资源
- 能力补全：避免创造不足导致缺口
- 动态调控：根据完整性动态调整
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.
- 12d ago First seen · 182 lines · 74 tokens per session scan A a2deb77654d7
metago-frequency-adapt is a skill published in the GitHub repository metago-ai/metagolifeform (4 stars, last pushed 11d ago), licensed MIT. It adds 74 tokens to every session and 1,471 once invoked, about $0.0004 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 2026-08-31.
Other skills, from other repositories
card-xiaohongshu
Xiaohongshu-style knowledge cards, arranged as a swipeable multi-card carousel.
extract
Run the full Semantica semantic extraction pipeline on a file or selected text — NER, relations, events, coreference resolution, triplets, and validation. Clears result cache before each run. Returns Markdown tables with entity/relation/event/triplet results and inline validator warnings.
prototype-web
A clickable, high-fidelity web product prototype with navigation, a hero section, feature cards, steps, social proof, and optional pricing. It is designed to resemble a finished landing page while remaining a prototype.
deck-course-module
A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.
loop-orchestration
Reference loop-orchestration example; a local loop host chains governed runx turns through receipts, budgets, context, and stop policy.
slack-notify
Plan a digest-bound Slack notification, then deliver the exact approved channel post through any compatible Slack binding with provider readback.