Agent skill

Drama Evaluator

by VanGong1999 in VanGong1999/screen-creative-skills

Evaluate and score according to vertical short drama evaluation standards, from dimensions including core satisfaction points, story types, etc.

MITAuto-check passed

Install Drama Evaluator

skills CLI
$ npx skills add VanGong1999/screen-creative-skills --skill drama-evaluator -a claude-code

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

GitHub CLI
$ gh skill install VanGong1999/screen-creative-skills drama-evaluator --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/VanGong1999/screen-creative-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/english-version/category/evaluation/drama-evaluator .claude/skills/drama-evaluator && 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
drama-evaluator
GitHub stars
446
Token cost
~1.9k tokens
SKILL.md length
524 words
Files
5 (incl. references)
Skills in repo
62
Repo updated
First seen
Licence
MIT

At a glance

Evaluate and score according to vertical short drama evaluation standards, from dimensions including core satisfaction points, story types, etc.

  • Works in 5 steps: Core Satisfaction Points → Story Type → Character Settings → …
  • SKILL.md covers Functionality, Use Cases, Evaluation Dimensions and Scoring Standards, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Drama Evaluator is an agent skill from VanGong1999/screen-creative-skills. Evaluate and score according to vertical short drama evaluation standards, from dimensions including core satisfaction points, story types, etc. Suitable for evaluating story adaptation potential for vertical short dramas, analyzing market competitiveness

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/evaluation-standards.md`, `references/examples.md` and `references/guide.md`). Compatibility notes: Claude Code 1.0+

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.

Example prompts

  • “/drama-evaluator”

Requirements

  • Compatibility (from SKILL.md): Claude Code 1.0+

Workflow steps

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

  1. Core Satisfaction Points
  2. Story Type
  3. Character Settings
  4. Character Relationships
  5. Plot Devices

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

Drama Evaluator loads about 1.9k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 524 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~10k

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). 524 words, ~1,942 tokens.

Download SKILL.mdSave it as .claude/skills/drama-evaluator/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
drama-evaluator
description
Evaluate and score according to vertical short drama evaluation standards, from dimensions including core satisfaction points, story types, etc. Suitable for evaluating story adaptation potential for vertical short dramas, analyzing market competitiveness
compatibility
Claude Code 1.0+
category
evaluation
version
2.1.0
last_updated
2026-01-11
license
MIT
maintainer
Gong Fan
model
opus

Vertical Short Drama Evaluation Expert

Functionality

According to professional vertical short drama evaluation standards, deeply evaluate and score story text from dimensions including core satisfaction points, story types, character settings, character relationships, plot devices, etc., analyzing the possibility of IP incubating into a hit vertical short drama.

Use Cases

  • Evaluate story adaptation potential for vertical short dramas
  • Analyze story market competitiveness
  • Identify story strengths and weaknesses
  • Provide professional recommendations for story optimization

Evaluation Dimensions

1. Core Satisfaction Points

Evaluate whether story has sufficiently strong core satisfaction points

  • Universalization Degree: Whether satisfaction points are rooted in universal desires or suppressions of the general public
  • Clarity and Concreteness: Whether satisfaction points are concrete and visualizable
  • Rhythmic Progression: Whether there is layered progression of small, medium, and big satisfaction points
2. Story Type

Evaluate market competitiveness of story type

  • Strong Setting: Whether there is highly attractive supernatural setting
  • Classic + Innovation: Whether using classic patterns to attract audience while integrating innovative elements
  • Extremization: Whether extremizing audience-familiar tropes
3. Character Settings

Evaluate effectiveness and attractiveness of character settings

  • Contrast Sense: Whether protagonist image contrast is extreme
  • Clear Desire: Whether protagonist desire is single and clear
  • Functionalization: Whether villains are highly stereotyped with clear functions
4. Character Relationships

Evaluate dramatic tension of character relationships

  • Strong Conflict: Whether character relationships are extremely binary opposed
  • Strong Bonding: Whether character relationships are extremely tight
  • Power Structure: Whether there is clear power hierarchy division
5. Plot Devices

Evaluate satisfaction creation of plot devices

  • Cut into Conflict: Whether skipping process, directly cutting into core conflict
  • Emotional Extremity: Whether each device only serves one extreme emotion
  • Visual Transformation: Whether can transform into exaggerated expressions, dramatic actions
  • Suspense Setup: Whether strong suspense is set at each episode ending

Scoring Standards

  • 8.5 and above: Excellent, extremely strong competitiveness and development value
  • 8.0-8.4: Has potential, strong competitiveness, needs some modification
  • 7.5-7.9: Average, average competitiveness, needs major modification
  • 7.4 and below: Poor, insufficient competitiveness
Show full SKILL.md (206 more words)Show less

Workflow

  1. Deep Reading: Fully read and understand story text, grasp overall structure and core elements
  2. Multi-dimensional Analysis: Conduct professional analysis and scoring from five evaluation dimensions
  3. Benchmark Analysis: Benchmark against market hit dramas, analyze strengths and weaknesses
  4. Optimization Recommendations: Provide specific actionable optimization recommendations
  5. Comprehensive Evaluation: Form overall evaluation and development recommendations

Output Format

Evaluation Report Format
[Vertical Short Drama Adaptation Potential Evaluation Report]

[Core Satisfaction Points]: Score: [X.X]
[Summarize core satisfaction points]
[Analysis and evaluation, expound reasons and basis]
[Benchmark advantages and disadvantages against market hit dramas]
[At least 2 specific, actionable optimization recommendations]

[Story Type]: Score: [X.X]
[Summarize story type]
[Analysis and evaluation, expound reasons and basis]
[Benchmark advantages and disadvantages against market hit dramas]
[At least 2 specific, actionable optimization recommendations]

[Character Settings]: Score: [X.X]
[Organize main character personas]
[Analysis and evaluation, expound reasons and basis]
[Benchmark advantages and disadvantages against market hit dramas]
[At least 2 specific, actionable optimization recommendations]

[Character Relationships]: Score: [X.X]
[Organize main character relationships]
[Analysis and evaluation, expound reasons and basis]
[Benchmark advantages and disadvantages against market hit dramas]
[At least 2 specific, actionable optimization recommendations]

[Plot Devices]: Score: [X.X]
[Organize all plot devices that can embody core satisfaction points]
[Analysis and evaluation, expound reasons and basis]
[Benchmark advantages and disadvantages against market hit dramas]
[At least 2 specific, actionable optimization recommendations]

[Comprehensive Evaluation]:
[Combine above analysis, give judgment on whether to recommend proceeding with this project]
[Briefly explain core risk points and opportunity points for subsequent development]

Best Practices

  • Text Completeness: Provide complete story text to ensure comprehensive and accurate evaluation
  • Objective and Fair: Evaluate based on professional standards, unaffected by personal preferences
  • Benchmark Learning: Actively benchmark against market hits, learn from successful experiences
  • Actionable Recommendations: Provided optimization recommendations should be specific and executable, avoid vague generalities

Detailed Documentation

See {baseDir}/references/ directory for more documentation:

  • examples.md - Detailed evaluation examples (various genres like urban counterattack, ancient court intrigue, modern emotion, etc.)
  • guide.md - Detailed evaluation standards and scoring rules

Version History

VersionDateChanges
2.1.02026-01-11Optimized description field to be more concise and comply with imperative language specifications; changed model to opus; optimized descriptions of functionality, use cases, core steps, input requirements, and output format to comply with imperative language specifications; added constraints, examples, and detailed documentation sections.
2.0.02026-01-11Refactored according to official specifications, added references structure
1.0.02026-01-10Initial 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 4 other files (references) in english-version/category/evaluation/drama-evaluator of VanGong1999/screen-creative-skills.

  • SKILL.md
  • references/evaluation-standards.md
  • references/examples.md
  • references/guide.md
  • references/market-analysis.md

Open the folder on GitHubat commit 6ced54f

Compare with similar skills

Drama Evaluator 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.

Drama Evaluator compared with similar skills
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Drama Evaluator this skillVanGong1999/screen-creative-skills446—~1.9kAutomated safety check: PassMIT
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Short Dramazenstory-ai/drama-skills2.7k—~1.6kAutomated safety check: PassMIT
Arize Evaluatorgithub/awesome-copilot40k1 repos~8.1kAutomated safety check: NotesMIT
Short Drama Novel Analyzezenstory-ai/drama-skills2.7k—~1.9kAutomated safety check: PassMIT
Shortsickn33/agentic-awesome-skills47k1 repos~281Automated safety check: PassMIT

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Questions about Drama Evaluator

What does Drama Evaluator do?

Evaluate and score according to vertical short drama evaluation standards, from dimensions including core satisfaction points, story types, etc. Drama Evaluator is an agent skill from VanGong1999/screen-creative-skills. Evaluate and score according to vertical short drama evaluation standards, from dimensions including core satisfaction points, story types, etc.

How do I install Drama Evaluator in Claude Code?

Run `npx skills add VanGong1999/screen-creative-skills --skill drama-evaluator -a claude-code`. Or copy the skill folder (english-version/category/evaluation/drama-evaluator in VanGong1999/screen-creative-skills) into .claude/skills/drama-evaluator in your project. Claude Code loads it when a task matches its description.

How do I install Drama Evaluator in Codex?

Run `npx skills add VanGong1999/screen-creative-skills --skill drama-evaluator -a codex`. Or copy the skill folder (english-version/category/evaluation/drama-evaluator in VanGong1999/screen-creative-skills) into .agents/skills/drama-evaluator in your project. Codex loads it when a task matches its description.

Can I use Drama Evaluator 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 drama-evaluator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/drama-evaluator, .gemini/skills/drama-evaluator, .github/skills/drama-evaluator and .opencode/skills/drama-evaluator in your project.

What does Drama Evaluator need to run?

SKILL.md names no scripts, command-line tools or credentials: Drama Evaluator is instructions for the agent only. Compatibility (from SKILL.md): Claude Code 1.0+.

Does Drama Evaluator 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 Drama Evaluator 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 Drama Evaluator use?

Drama Evaluator 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 Drama Evaluator use?

About 1.9k tokens (SKILL.md is roughly 7.8k 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 8.2k tokens, read only when the agent opens those files.

What are the alternatives to Drama Evaluator?

Skills that share tags, products or a category with Drama Evaluator: Short Drama (ZJU-REAL/Easel, 3.4k stars), Short Drama (zenstory-ai/drama-skills, 2.7k stars), Arize Evaluator (github/awesome-copilot, 40k stars) and Short Drama Novel Analyze (zenstory-ai/drama-skills, 2.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Drama Evaluator?

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.