Agent skill

Dream Interpreter

by Ali-Marandi in Ali-Marandi/Web-Scraper-Framework

AI 解梦大师。用户描述梦境,智能追问关键细节后,从三个视角(周公解梦/心理分析/赛博神棍)生成解读,输出结构化 JSON 供前端渲染"梦境解析卡"。

No licenceAuto-check passed

Install Dream Interpreter

skills CLI
$ npx skills add Ali-Marandi/Web-Scraper-Framework --skill dream-interpreter -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Ali-Marandi/Web-Scraper-Framework dream-interpreter --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Ali-Marandi/Web-Scraper-Framework.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dream-interpreter .claude/skills/dream-interpreter && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
dream-interpreter
GitHub stars
107
Token cost
~406 tokens
SKILL.md length
82 words
Files
9 (incl. scripts, references, assets)
Skills in repo
12
Repo updated
First seen
Licence
None found

At a glance

AI 解梦大师。用户描述梦境,智能追问关键细节后,从三个视角(周公解梦/心理分析/赛博神棍)生成解读,输出结构化 JSON 供前端渲染"梦境解析卡"。

  • Works in 3 steps: 梦境收集 + 追问 → 生成解读 → 输出结构化 JSON
  • SKILL.md covers When to use, Session flow, Output format and References
  • Runs Python scripts from its folder

What it does

Dream Interpreter is an agent skill from Ali-Marandi/Web-Scraper-Framework. AI 解梦大师。用户描述梦境,智能追问关键细节后,从三个视角(周公解梦/心理分析/赛博神棍)生成解读,输出结构化 JSON 供前端渲染"梦境解析卡"。

Its SKILL.md is about 410 tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts, reference files and assets (for example `references/api_reference.md`, `references/interpretation-guide.md` and `references/output-schema.md`).

The repository describes itself as: Flexible and Scalable Web Scraping Framework.

Example prompts

  • “/dream-interpreter”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. 梦境收集 + 追问
  2. 生成解读
  3. 输出结构化 JSON

What it can do on your machine

Read from SKILL.md and the folder at commit f8af4cd. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Dream Interpreter loads about 406 tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 23 tokens; SKILL.md has 82 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~23
When it runs · the whole SKILL.md, loaded when a task matches
~406
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 82 words (~406 tokens).

name
dream-interpreter

Read the full SKILL.md on GitHub

Files

SKILL.md and 8 other files (scripts, references, assets) in skills/dream-interpreter of Ali-Marandi/Web-Scraper-Framework.

  • SKILL.md
  • assets/example_asset.txt
  • references/api_reference.md
  • references/interpretation-guide.md
  • references/output-schema.md
  • references/questioning-strategy.md
  • references/visual-mapping.md
  • scripts/example.py
  • skill.json

Open the folder on GitHubat commit f8af4cd

Compare with similar skills

Dream Interpreter next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Dream Interpreter compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Dream Interpreter this skillAli-Marandi/Web-Scraper-Framework107—~406Automated safety check: PassNone
Dream LoopNousResearch/hermes-agent252k—~3.5kAutomated safety check: PassMIT
TransformerLens InterpretabilityOrchestra-Research/AI-Research-SKILLs13k3 repos~3kAutomated safety check: PassMIT
Nnsight Remote InterpretabilityOrchestra-Research/AI-Research-SKILLs13k2 repos~3.3kAutomated safety check: PassMIT
Paper Interpretationdigoal/blog8.6k—~1.5kAutomated safety check: PassGPL-2.0
Interpret Resultsbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~620Automated safety check: NotesCustom licence

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Questions about Dream Interpreter

What does Dream Interpreter do?

AI 解梦大师。用户描述梦境,智能追问关键细节后,从三个视角(周公解梦/心理分析/赛博神棍)生成解读,输出结构化 JSON 供前端渲染"梦境解析卡"。. Dream Interpreter is an agent skill from Ali-Marandi/Web-Scraper-Framework.

How do I install Dream Interpreter in Claude Code?

Run `npx skills add Ali-Marandi/Web-Scraper-Framework --skill dream-interpreter -a claude-code`. Or copy the skill folder (skills/dream-interpreter in Ali-Marandi/Web-Scraper-Framework) into .claude/skills/dream-interpreter in your project. Claude Code loads it when a task matches its description.

How do I install Dream Interpreter in Codex?

Run `npx skills add Ali-Marandi/Web-Scraper-Framework --skill dream-interpreter -a codex`. Or copy the skill folder (skills/dream-interpreter in Ali-Marandi/Web-Scraper-Framework) into .agents/skills/dream-interpreter in your project. Codex loads it when a task matches its description.

Can I use Dream Interpreter in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Ali-Marandi/Web-Scraper-Framework --skill dream-interpreter -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dream-interpreter, .gemini/skills/dream-interpreter, .github/skills/dream-interpreter and .opencode/skills/dream-interpreter in your project.

What does Dream Interpreter need to run?

Going by SKILL.md and its folder, Dream Interpreter needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Dream Interpreter access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Dream Interpreter safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Dream Interpreter use?

No licence was found for Dream Interpreter or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Dream Interpreter use?

About 406 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.8k tokens, read only when the agent opens those files.

What are the alternatives to Dream Interpreter?

Skills that share tags, products or a category with Dream Interpreter: Dream Loop (NousResearch/hermes-agent, 252k stars), TransformerLens Interpretability (Orchestra-Research/AI-Research-SKILLs, 13k stars), Nnsight Remote Interpretability (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Paper Interpretation (digoal/blog, 8.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dream Interpreter?

Ali-Marandi (a GitHub user) maintains it in Ali-Marandi/Web-Scraper-Framework, which has 107 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on August 31, 2026.

Source: Ali-Marandi/Web-Scraper-Framework on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.