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recursive-decision-ledger

Use when the user asks for repeated rollouts, marked decision processes, high-dimensional search, stochastic optimization, local-optima exploration, ensemble comparison, or recursive reasoning with a visible evidence trail.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=affaan-m-ecc-skills-recursive-decision-ledger-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name recursive-decision-ledger description Use when the user asks for repeated rollouts, marked decision processes, high-dimensional search, stochastic optimization, local-optima exploration, ensemble comparison, or recursive reasoning with a visible evidence trail. license MIT metadata {"origin":"ECC"} tools Read, Write, Edit, Bash, Grep, Glob Recursive Decision Ledger Use this skill when the user is trying to force deeper computation through repeated rollouts or "Prime Gauss" style recursive prompting. Preserve the useful part: repeated trials, prior memory, fresh information, and explicit marks. Remove the unsafe part: pretending the loop proves certainty. Ledger Contract Every rollout should record: rollout id and timestamp; prior accepted winner and prior watchlist; fresh information ingested; search space size; model families or heuristics used; trial count and effective trial count; top candidates; decision marks; coherence marks against the prior ledger; promotion gate result. Prefer JSONL for append-only ledgers and Markdown for human summaries. Rollout Loop Load the prior ledger. Capture new information at time-step zero. Run the bounded search. Mark each candidate: accept, watch, reject, decay watch, or needs replay. Compare winners against prior winners and latest marked rollout. Downgrade candidates when drift, tail risk, stale data, or failed replay invalidates the previous mark. Append artifacts before summarizing. Coherence Mark Include a compact coherence mark: Ensemble matches prior winner: true Recursive matches prior winner: false Latest rollout match: true Live promotion allowed: false Reason: replay and freshness gates not satisfied Promotion Rules For trading, capital allocation, production deploys, migrations, or destructive ops, recursive confidence is not approval. Default to paper, dry-run, read-only, preview, or staged mode unless the user explicitly approves the live action and the repo/service gate supports it. Promote only when: the candidate beats the prior accepted winner on the chosen metric; correctness and replay checks pass; risk limits are explicit; the evidence is durable; the user has approved the live step when needed. Summary Shape Lead with the decision, not the drama: Rollout 15 complete. The prior winner still holds, but edge deteriorated 17%. Status: watch, not live. Next gate: 20 replay fills with fresh orderbook age below threshold.
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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