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 duolongworld/AI_Renaissance --skill layer4_5_reflexivitygit clone --depth 1 https://github.com/duolongworld/AI_RenaissanceWrote 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/duolongworld/ai_renaissance/layer4_5_reflexivity)<a href="https://agentmods.dev/skills/duolongworld/ai_renaissance/layer4_5_reflexivity"><img src="https://agentmods.dev/badge/skills/duolongworld/ai_renaissance/layer4_5_reflexivity/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/duolongworld/ai_renaissance/layer4_5_reflexivity"><img src="https://agentmods.dev/badge/skills/duolongworld/ai_renaissance/layer4_5_reflexivity.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 | $0.00034 | $0.00523 |
| Opus 5 | $0.00017 | $0.00262 |
| Sonnet 5 | $0.00007 | $0.00105 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
layer4_5_reflexivity 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 9d 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
Layer 4.5: 反身性与元认知层（V3.1新增）
执行方式
- 数值计算（压力计评分、修正系数计算）
- 智能分析（范式稳定性判断）
- 混合模式
三层元认知功能
- 反身性压力计：信号拥挤度监测
- 范式稳定性监测：框架适用性监测
- 逻辑生命周期监控：主导逻辑所处阶段
反身性压力计
四大压力指标
| 指标 | 满分 | 预警阈值 | 极端阈值 |
|---|---|---|---|
| 信号拥挤度 | 25 | >50% | >70% |
| 仓位集中度 | 25 | |z|>1.5 | |z|>2.5 |
| 自我实现指数 | 25 | >60% | >80% |
| 跨框架一致性 | 25 | >70% | >90% |
压力等级
| 等级 | 得分 | 修正系数 |
|---|---|---|
| 绿色 | 0-30 | 1.0 |
| 黄色 | 30-50 | 0.75 |
| 橙色 | 50-70 | 0.50 |
| 红色 | 70-100 | 0.25 |
范式稳定性
| 状态 | 触发条件 | 修正系数 |
|---|---|---|
| 稳定 | 0个代理指标 | 1.0 |
| 动摇 | 1个代理指标 | 0.7 |
| 转移 | ≥2个代理指标 | 0（仅Beta） |
信号修正公式
最终强度 = Layer 4 初始强度 × 逻辑生命周期修正 × 反身性压力修正 × 范式稳定性修正
What ships with it
2 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.
- 9d ago First seen · 54 lines · 34 tokens per session scan A a1b4983edfd1
layer4_5_reflexivity is a skill published in the GitHub repository duolongworld/AI_Renaissance (59 stars, last pushed 12d ago), licensed Apache-2.0. It adds 34 tokens to every session and 523 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
trading-risk-gate
Unified pre-trade safety gate: Ruin check (Law #1), ergodicity audit, and win-rate dominance validation. Absorbs: ergodicity-check, law-of-ruin, win-rate-dominance.
vectorbt
High-performance vectorized backtesting with parameter optimization, portfolio simulation, and rich performance metrics.