Story Multi-Perspective Review
zenstory-ai/oh-story-claudecode
Reviews Chinese web-novel text with several reviewer agents in parallel, falling back to a single-agent pass, and reports structure, character, prose and setting problems with fixes.
Analyze multi-round evaluation result scoring data, calculate various metrics, calculate rating grades.
Install Score Analyzer
$ npx skills add VanGong1999/screen-creative-skills --skill score-analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VanGong1999/screen-creative-skills score-analyzer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/VanGong1999/screen-creative-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/english-version/category/novel-screening/score-analyzer .claude/skills/score-analyzer && rm -rf skills-srcUse ~/.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/
Install the "score-analyzer" agent skill from https://github.com/VanGong1999/screen-creative-skills/tree/master/english-version/category/novel-screening/score-analyzer into .claude/skills/score-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "score-analyzer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/VanGong1999/screen-creative-skills/tree/master/english-version/category/novel-screening/score-analyzerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add VanGong1999/screen-creative-skills --skill score-analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VanGong1999/screen-creative-skills score-analyzer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VanGong1999/screen-creative-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/english-version/category/novel-screening/score-analyzer .agents/skills/score-analyzer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "score-analyzer" agent skill from https://github.com/VanGong1999/screen-creative-skills/tree/master/english-version/category/novel-screening/score-analyzer into .agents/skills/score-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "score-analyzer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add VanGong1999/screen-creative-skills --skill score-analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VanGong1999/screen-creative-skills score-analyzer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VanGong1999/screen-creative-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/english-version/category/novel-screening/score-analyzer .cursor/skills/score-analyzer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "score-analyzer" agent skill from https://github.com/VanGong1999/screen-creative-skills/tree/master/english-version/category/novel-screening/score-analyzer into .cursor/skills/score-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "score-analyzer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/VanGong1999/screen-creative-skills.git --path english-version/category/novel-screening/score-analyzer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add VanGong1999/screen-creative-skills --skill score-analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VanGong1999/screen-creative-skills score-analyzer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VanGong1999/screen-creative-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/english-version/category/novel-screening/score-analyzer .gemini/skills/score-analyzer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "score-analyzer" agent skill from https://github.com/VanGong1999/screen-creative-skills/tree/master/english-version/category/novel-screening/score-analyzer into .gemini/skills/score-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "score-analyzer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install VanGong1999/screen-creative-skills score-analyzerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add VanGong1999/screen-creative-skills --skill score-analyzer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/VanGong1999/screen-creative-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/english-version/category/novel-screening/score-analyzer .github/skills/score-analyzer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "score-analyzer" agent skill from https://github.com/VanGong1999/screen-creative-skills/tree/master/english-version/category/novel-screening/score-analyzer into .github/skills/score-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "score-analyzer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add VanGong1999/screen-creative-skills --skill score-analyzer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install VanGong1999/screen-creative-skills score-analyzer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VanGong1999/screen-creative-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/english-version/category/novel-screening/score-analyzer .opencode/skills/score-analyzer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "score-analyzer" agent skill from https://github.com/VanGong1999/screen-creative-skills/tree/master/english-version/category/novel-screening/score-analyzer into .opencode/skills/score-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "score-analyzer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
score-analyzer- GitHub stars
- 446
- Token cost
- ~1.3k tokens
- SKILL.md length
- 332 words
- Files
- 2 (incl. references)
- Skills in repo
- 62
- Repo updated
- First seen
- Licence
- MIT
At a glance
Analyze multi-round evaluation result scoring data, calculate various metrics, calculate rating grades.
- Tasks that involve Creative writing and fiction
- SKILL.md covers Functionality, Usage Scenarios, Rating Grade Definitions and Statistical Metrics, plus 7 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Score Analyzer is an agent skill from VanGong1999/screen-creative-skills. Analyze multi-round evaluation result scoring data, calculate various metrics, calculate rating grades. Suitable for analyzing scoring trends, calculating S/A/B ratings
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/examples.md`). Compatibility notes: Claude Code 1.0+
It sits in Writing & Content, covering Creative writing and fiction. The repository describes itself as: Skills for Film and Television Creation Agents|31 个影视创作评估策划Agent Skills｜AI影视自动化工作流｜竖屏短剧长剧IP改编｜情节题材提炼｜剧本小说IP创作策划评估｜人物小传｜拉片人物剧集故事五元素分析｜大纲生成｜. The licence is MIT.
When your agent uses it
- Tasks that involve Creative writing and fiction
Example prompts
- “/score-analyzer”
Requirements
- Compatibility (from SKILL.md): Claude Code 1.0+
What it can do on your machine
Read from SKILL.md and the folder at commit 6ced54f. 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
No scripts in the folder and no shell commands in SKILL.md.
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.
Compatibility
Claude Code 1.0+
From compatibility in the SKILL.md frontmatter.
Context cost
Score Analyzer loads about 1.3k tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 46 tokens; SKILL.md has 332 words of instructions outside code blocks.
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from VanGong1999/screen-creative-skills at commit 6ced54f, republished under its MIT licence (© VanGong1999). 332 words, ~1,294 tokens.
Download SKILL.mdSave it as
.claude/skills/score-analyzer/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- score-analyzer
- description
- Analyze multi-round evaluation result scoring data, calculate various metrics, calculate rating grades. Suitable for analyzing scoring trends, calculating S/A/B ratings
- compatibility
- Claude Code 1.0+
- category
- novel-screening
- version
- 2.1.0
- last_updated
- 2026-01-11
- license
- MIT
- maintainer
- Gong Fan
- model
- opus
Score Analysis Agent
Functionality
Analyze scoring data from multiple evaluation rounds, calculate various scoring metrics, and calculate rating grades (S Strong Focus/A Suggested Focus/B Ordinary).
Usage Scenarios
- Quickly grasp overall performance and trends of multi-round evaluation results
- Provide decision support for project approval and IP adaptation based on quantitative data
- Identify high-potential works for S/A/B grading
- Assist evaluators in analyzing scoring deviations to optimize evaluation processes
Rating Grade Definitions
- S Grade (Strong Focus): At least one 8.5 score or at least eight 8.0 scores accumulated
- A Grade (Suggested Focus): At least five 8.0 scores accumulated
- B Grade (Ordinary): Does not meet A Grade standards
Statistical Metrics
- Evaluation Count: Total evaluation rounds
- Valid Score Count: Evaluation rounds with valid scoring data
- First Score: Record first evaluation score
- Highest Score: Record highest score among all evaluations
- Lowest Score: Record lowest score among all evaluations
- Average Score: Calculate average score of all evaluations
- Trimmed Mean Score: Average score after removing highest and lowest scores
- High Score Statistics: Count occurrences in each score range (8.5 and above, 8.0-8.4, etc.)
Core Steps
Receive multi-round evaluation results
↓
Extract all scoring data
↓
Calculate various scoring metrics
↓
Calculate rating grades
↓
Generate comprehensive evaluation report
↓
Output structured resultsInput Requirements
- Evaluation Results: Structured text containing multi-round evaluation scoring data (recommend at least 10 evaluation results)
- Scoring Dimensions: Clear dimensions and standards for scoring
- Special Requirements (optional): Any specific statistical or analysis requirements
Output Format
[Score Analysis Report]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
I. Evaluation Overview
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- Evaluation Count: [count]
- Valid Scores: [count]
- Rating Grade: [S/A/B]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
II. Score Statistics
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- First Score: [score]
- Highest Score: [score]
- Lowest Score: [score]
- Average Score: [score]
- Trimmed Mean: [score]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
III. Score Sequence
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. [score]
2. [score]
...
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
IV. High Score Statistics
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- 8.5 and above: [count]
- 8.0-8.4: [count]
- 7.5-7.9: [count]
- 7.4 and below: [count]Constraints
- Input evaluation data must contain clear scores for statistical analysis
- Report content must be objective and fair, based on data generation without subjective judgment
- Ensure calculation results are accurate
Examples
See {baseDir}/references/examples.md for more detailed examples:
examples.md- Contains detailed analysis report examples for different evaluation results (multiple high scores, stable average scores, high score fluctuation, etc.)
Detailed Documentation
See {baseDir}/references/examples.md for detailed guidance and cases on score analysis.
Version History
| Version | Date | Changes |
|---|---|---|
| 2.1.0 | 2026-01-11 | Optimized description field; changed model to opus; optimized descriptions for functionality, usage scenarios, rating grade definitions, statistical metrics, core steps, input requirements, and output format; added constraints, examples, and detailed documentation sections |
| 2.0.0 | 2026-01-11 | Restructured according to official specifications |
| 1.0.0 | 2026-01-10 | Initial version |
© VanGong1999, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in english-version/category/novel-screening/score-analyzer of VanGong1999/screen-creative-skills.
- SKILL.md
- references/examples.md
Open the folder on GitHubat commit 6ced54f
Compare with similar skills
Score Analyzer 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Score Analyzer this skillVanGong1999/screen-creative-skills | 446 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Story Multi-Perspective Reviewzenstory-ai/oh-story-claudecode | 7.4k | 3 repos | ~3k | Automated safety check: Pass | MIT | |
| Short Web Fiction Trend Scanzenstory-ai/oh-story-claudecode | 7.4k | 2 repos | ~1.2k | Automated safety check: Pass | MIT | |
| InkOS Creative HarnessNarcooo/inkos | 10k | 1 repos | ~1.1k | Automated safety check: Pass | AGPL-3.0 | |
| Novel Arteternityspring/shuohao-skills | 4.3k | — | ~1.1k | Automated safety check: Notes | Apache-2.0 | |
| SepiaNanako0129/sepia | 3k | — | ~3.6k | Automated safety check: Pass | MIT |
Similar skills
Short Web Fiction Trend Scan
zenstory-ai/oh-story-claudecode
Scans popular short web-fiction rankings on Chinese platforms such as Dianzhong and Heiyan to surface trending emotional hooks, themes and topic candidates with an expiry warning.
InkOS Creative Harness
Narcooo/inkos
Drives long-form fiction, scripts, storyboards, interactive films and long-document translation through InkOS, with every change made by a typed action.
Novel Art
eternityspring/shuohao-skills
给 AI 短剧出美术设定集（场景 + 叙事道具）：场景的设计意图、一致性锚点、光照时段变体、 空景提示词；道具的戏剧功能、状态变体、尺度参照、白底无手提示词。
Sepia
Nanako0129/sepia
Make AI-generated writing read as human-written, in fiction and in professional prose.
Story Toolbox Router
zenstory-ai/oh-story-claudecode
Routes a Chinese web-novel writing request to the matching tool in a 13-skill toolbox, covers author habit memory, and can launch a local dashboard for browsing a project.
More from VanGong1999/screen-creative-skills
All 62 skills in this repoDrama Creator
VanGong1999/screen-creative-skills
Create vertical short drama scripts covering macro construction, episode writing, precise optimization, and creative ideation using Emotional Spring Theory.
Drama Workflow
VanGong1999/screen-creative-skills
Orchestrate the full plot-point dramatic function analysis pipeline — text preprocessing, parallel segment analysis, result integration, and report generation — for long-form story content.
Novel Evaluator
VanGong1999/screen-creative-skills
Evaluate and score story text across market potential, innovation attributes, and content highlights dimensions, producing structured scoring reports with development recommendations.
Script Evaluator
VanGong1999/screen-creative-skills
Evaluate film and TV scripts across ideological, artistic, and entertainment value dimensions, producing structured scoring reports with follow-up recommendations.
Story Five Elements
VanGong1999/screen-creative-skills
Analyze five core story elements — genre type, story summary, character biographies, character relationships, and major plot points — producing a structured comprehensive report with optional mind…
Character Profile
VanGong1999/screen-creative-skills
基于故事文本分析人物特征，生成详细的人物小传。适用于深度理解故事人物设定、为演员塑造角色提供参考、为剧本创作建立人物档案
Related
Categories
Questions about Score Analyzer
What does Score Analyzer do?
Analyze multi-round evaluation result scoring data, calculate various metrics, calculate rating grades. Score Analyzer is an agent skill from VanGong1999/screen-creative-skills. Analyze multi-round evaluation result scoring data, calculate various metrics, calculate rating grades.
When should I use Score Analyzer?
Score Analyzer fits situations like: tasks that involve Creative writing and fiction.
How do I install Score Analyzer in Claude Code?
Run `npx skills add VanGong1999/screen-creative-skills --skill score-analyzer -a claude-code`. Or copy the skill folder (english-version/category/novel-screening/score-analyzer in VanGong1999/screen-creative-skills) into .claude/skills/score-analyzer in your project. Claude Code loads it when a task matches its description.
How do I install Score Analyzer in Codex?
Run `npx skills add VanGong1999/screen-creative-skills --skill score-analyzer -a codex`. Or copy the skill folder (english-version/category/novel-screening/score-analyzer in VanGong1999/screen-creative-skills) into .agents/skills/score-analyzer in your project. Codex loads it when a task matches its description.
Can I use Score Analyzer 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 VanGong1999/screen-creative-skills --skill score-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/score-analyzer, .gemini/skills/score-analyzer, .github/skills/score-analyzer and .opencode/skills/score-analyzer in your project.
What does Score Analyzer need to run?
SKILL.md names no scripts, command-line tools or credentials: Score Analyzer is instructions for the agent only. Compatibility (from SKILL.md): Claude Code 1.0+.
Does Score Analyzer 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 Score Analyzer 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. Review the folder before installing.
What licence does Score Analyzer use?
Score Analyzer is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Score Analyzer use?
About 1.3k tokens (SKILL.md is roughly 5.2k 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 1.3k tokens, read only when the agent opens those files.
What are the alternatives to Score Analyzer?
Skills that share tags, products or a category with Score Analyzer: Story Multi-Perspective Review (zenstory-ai/oh-story-claudecode, 7.4k stars), Short Web Fiction Trend Scan (zenstory-ai/oh-story-claudecode, 7.4k stars), InkOS Creative Harness (Narcooo/inkos, 10k stars) and Novel Art (eternityspring/shuohao-skills, 4.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Score Analyzer?
VanGong1999 (a GitHub user) maintains it in VanGong1999/screen-creative-skills, which has 446 GitHub stars. The repository holds 62 skills in this directory. The repository was last updated on May 26, 2026.
Source: VanGong1999/screen-creative-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.