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 agentmods add skills/jinning6/noosphere/dream_decodernpx skills add JinNing6/Noosphere --skill dream_decodergit clone --depth 1 https://github.com/JinNing6/NoosphereWhat 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 | $0.00053 | $0.01154 |
| Opus 5 | $0.00026 | $0.00577 |
| Sonnet 5 | $0.00011 | $0.00231 |
| Haiku 4.5 | $0.00005 | $0.00115 |
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 2d 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 — 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)
- 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。」
- 认真记录梦境内容,不要急于解读。
第二阶段:意象提取 (Symbol Extraction)
- 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)
- 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)
- 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)
- 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)
-
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)
- 询问用户:这个梦境触发了你什么想法?
- 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
- 类型通常为
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。
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.
- 2d ago First seen · 81 lines · 53 tokens per session scan A 8d1d8cd09cd5
dream_decoder is a skill published in the GitHub repository JinNing6/Noosphere (18 stars, last pushed 9d ago), licensed Apache-2.0. It adds 53 tokens to every session and 1,154 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 2026-08-30.
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