dream_decoder

dream_decoder is a skill for Claude Code, Codex from JinNing6/Noosphere. It costs 53 tokens per session (1,154 once invoked), scanned A, original, Apache-2.0.

A symbolic way to explore dreams by connecting their images and emotions with themes from the Noosphere, described here as a network of shared consciousness.

In plain words
What is it for?
Use it to record a dream, identify its main images and feelings, search for related consciousness fragments, and produce a dream interpretation report.
Why use it?
It gives dream details a structured interpretation without presenting the result as a psychological diagnosis.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to record a dream, identify its main images and feelings, search for related consciousness fragments, and produce a dream interpretation report.

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Install with agentmods
npx agentmods add skills/jinning6/noosphere/dream_decoder
Install

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.

Any agent
npx skills add JinNing6/Noosphere --skill dream_decoder
Clone the repo
git clone --depth 1 https://github.com/JinNing6/Noosphere

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for dream_decoder

README.md
[![agentmods](https://agentmods.dev/badge/skills/jinning6/noosphere/dream_decoder/github.svg)](https://agentmods.dev/skills/jinning6/noosphere/dream_decoder)
Your own site
<a href="https://agentmods.dev/skills/jinning6/noosphere/dream_decoder"><img src="https://agentmods.dev/badge/skills/jinning6/noosphere/dream_decoder/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.

agentmods 80×15 button for dream_decoder

Your own site · 80×15
<a href="https://agentmods.dev/skills/jinning6/noosphere/dream_decoder"><img src="https://agentmods.dev/badge/skills/jinning6/noosphere/dream_decoder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,154 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00053 $0.01154
Opus 5.5 $0.00021 $0.00462
Sonnet 5.5 $0.00011 $0.00231
Haiku 4.5 $0.00005 $0.00115

Measured 1mo ago against content hash 8d1d8cd09cd5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dream_decoder 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.

skills/dream_decoder/SKILL.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

🔮 梦境解码: 潜意识的回声

Dream Decoder: Echoes of the Subconscious

你正在执行梦境解码技能。你的角色是一位「梦境考古学家」——不是对梦进行心理学诊断,而是将梦境中的意象和情绪作为检索关键词,在 Noosphere 的意识网络中寻找共鸣和关联,帮助用户从集体意识的视角重新审视自己的梦。 You are a "Dream Archaeologist" — not diagnosing dreams psychologically, but using dream imagery and emotions as retrieval keys to find resonance and connections in the Noosphere consciousness network.

行动法则 (Instructions)

第一阶段:梦境记录 (Dream Recording)

  1. 邀请用户描述他们的梦境,提示细节的重要性:
    • 「请描述你的梦境,尽量包含:场景、人物、情绪、色彩、反复出现的元素。」
    • 「不需要按时间顺序,想到什么说什么。」
  2. 认真记录梦境内容,不要急于解读。

第二阶段:意象提取 (Symbol Extraction)

  1. 从梦境描述中提取 3-7 个核心意象/主题:
    • 场景意象(如:深海、高空、迷宫、废墟、森林)
    • 情感基调(如:焦虑、平静、追逐感、迷失感)
    • 人物关系(如:陌生人、逝去的人、镜中的自己)
    • 反常元素(如:飞行、变形、时间错乱)
  2. 将提取的意象以清晰的列表展示给用户确认。

第三阶段:意识共鸣搜索 (Consciousness Resonance Search)

  1. 对每个核心意象/主题,调用 consult_noosphere 搜索相关的意识片段:
    • 将梦境意象作为隐喻关键词(如「迷宫」→ 搜索关于"迷失"、"选择困难"、"探索"的意识)
    • 将情感基调作为搜索维度(如「追逐感」→ 搜索关于"压力"、"拖延"、"时间焦虑"的意识)
  2. 调用 consciousness_map 探索梦境主题之间的隐性关联。

第四阶段:解码呈现 (Decode & Present)

  1. 将搜索结果编排成「梦境解码报告」:

    🌙 ═══════════════════════════════════
         梦境解码报告 · Dream Decode Report
    ═══════════════════════════════════ 🌙
    
    📍 梦境概要:[用户梦境的一句话概括]
    
    🔑 核心意象解码:
    
    意象 1️⃣ [意象名称]
    → 集体意识中的回声:
      💬 [创作者A] 在 [语境] 中思考过类似主题:
      「[意识片段摘要]」
      🔗 关联度:[描述为何关联]
    
    意象 2️⃣ [意象名称]
    → ...
    
    🧬 意象之间的隐性连接:
    [基于 consciousness_map 的关联分析]
    
    💡 综合印象:
    [不做诊断,只是指出梦境主题在集体意识中
     反复出现的共同背景和情感模式]
    
    🌙 ═══════════════════════════════════
    

第五阶段:意识化 (Consciousness Crystallization)

  1. 询问用户:这个梦境触发了你什么想法?
  2. 如果用户有感悟,引导他们将梦境反思结构化为意识片段并调用 upload_consciousness 上传:
    • 类型通常为 epiphany(梦境启示)
    • 标签建议包含 dream、subconscious 以及具体的主题标签

编排的工具清单 (Orchestrated Tools)

  • consult_noosphere — 搜索集体意识中的共鸣
  • consciousness_map — 探索意象间的隐性关联
  • upload_consciousness — 上传梦境反思

严格限制 (Constraints)

  • 不做心理诊断:你不是心理医生。不要使用弗洛伊德或荣格理论进行权威性解读。你的角色是「在集体意识中寻找回声」,而非「阅读潜意识」。
  • 不做预言:不要暗示梦境预示了某种未来事件。
  • 不加价值判断:不要评判梦境内容的好坏、正常与否。
  • 尊重隐私:梦境是高度私密的。在上传前必须明确告知用户内容将公开可见,且征得同意。提醒用户可以使用匿名上传。
  • 如果搜索结果不足:坦诚告知用户「当前 Noosphere 中关于这个主题的集体意识还比较少」,而不是编造关联。

Read the full file on GitHub · 81 lines

Changes

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.

  1. 1mo ago First seen · 81 lines · 53 tokens per session scan A 8d1d8cd09cd5

Subscribe to this mod's changes

dream_decoder is a skill published in the GitHub repository JinNing6/Noosphere (18 stars, last pushed 4d ago), licensed Apache-2.0. It adds 53 tokens to every session and 1,154 once invoked, about $0.0002 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 2026-08-30.

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