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-thought-01-dual-helix-wealthgit 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-thought-01-dual-helix-wealth)<a href="https://agentmods.dev/skills/metago-ai/metagolifeform/metago-thought-01-dual-helix-wealth"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-thought-01-dual-helix-wealth/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-thought-01-dual-helix-wealth"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-thought-01-dual-helix-wealth.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 | $0.00070 | $0.00938 |
| Opus 5 | $0.00035 | $0.00469 |
| Sonnet 5 | $0.00014 | $0.00188 |
| Haiku 4.5 | $0.00007 | $0.00094 |
Grade A, and why
metago-thought-01-dual-helix-wealth 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
双螺旋社会财富理论 V1.0
描述
基于"技术赋能"与"社识共识"双螺旋结构的财富创造理论，通过相位差量化社会进步效率，指导技术与政策的协同设计。
触发条件
- 评估技术方案的社会价值与落地效率
- 分析政策与技术之间的匹配度
- 量化社会进步的阻力和动力
- 需要判断某项创新是否"超前"或"滞后"
前置条件
- 明确的技术方案或政策议题
- 可识别的利益相关方共识状态
元思想核心
核心公式：
进步效率 η = cos(θ)
θ：技术赋能螺旋与社识共识螺旋之间的相位差θ → 0：技术与社会共识同频，η → 1，进步效率最高θ → π/2：技术严重脱离共识，η → 0，进步停滞θ > π/2：技术对抗共识，η < 0，倒退风险
双螺旋模型：
- 螺旋 A（技术赋能）：生产力提升的技术能力曲线
- 螺旋 B（社识共识）：社会认知、制度、伦理的接受度曲线
- 两螺旋同向缠绕 = 财富持续增长；两螺旋相位错配 = 财富耗散
财富生成函数：
W(t) = ∫₀ᵗ η(τ) · [T(τ) · S(τ)] dτ
其中 T 为技术势能，S 为社识势能，η 为进步效率。
推理框架
步骤 1：识别双螺旋
- 界定螺旋 A（技术赋能）：该项技术带来了哪些生产力提升？
- 界定螺旋 B（社识共识）：当前社会/行业/用户对该技术的认知和接受程度如何？
步骤 2：测量相位差 θ
- 技术成熟度 vs 社会接受度的差距
- 用 0°~180° 量化 θ：
- 0°-30°：高度同步
- 30°-60°：轻度滞后
- 60°-90°：显著错配
- 90°-180°：对抗性错配
步骤 3：计算进步效率 η
- η = cos(θ)
- η > 0.8：高效推进
- 0.5 < η ≤ 0.8：可推进但需补齐共识
- 0 < η ≤ 0.5：低效，需重大调整
- η ≤ 0：应暂停或转向
步骤 4：制定调相策略
- 若 θ 偏大（技术超前）：投入社识建设（科普、试点、标准制定）
- 若 θ 偏大（技术滞后）：加速技术攻关
- 目标：将 θ 收敛至 30° 以内（η > 0.866）
验证方法
- 对目标方案计算出的 η 值是否有明确的 θ 依据
- 调相策略是否针对相位差的根因（而非表面症状）
- 用历史案例回测：相同 θ 区间的历史方案，其 η 预测是否与实际结果一致
- 双螺旋边界界定是否覆盖了主要技术维度和主要共识群体
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 · 82 lines · 70 tokens per session scan A ee3ec0b43ca9
metago-thought-01-dual-helix-wealth is a skill published in the GitHub repository metago-ai/metagolifeform (4 stars, last pushed 11d ago), licensed MIT. It adds 70 tokens to every session and 938 once invoked, about $0.0003 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 2026-09-03.
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