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 skills add GongLingRui/screen-creative-skills --skill score-analyzergit clone --depth 1 https://github.com/GongLingRui/screen-creative-skillsWrote 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.
[](https://agentmods.dev/skills/gonglingrui/screen-creative-skills/score-analyzer)<a href="https://agentmods.dev/skills/gonglingrui/screen-creative-skills/score-analyzer"><img src="https://agentmods.dev/badge/skills/gonglingrui/screen-creative-skills/score-analyzer/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.
<a href="https://agentmods.dev/skills/gonglingrui/screen-creative-skills/score-analyzer"><img src="https://agentmods.dev/badge/skills/gonglingrui/screen-creative-skills/score-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 11 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00033 | $0.01332 |
| Opus 5 | $0.00016 | $0.00666 |
| Sonnet 5 | $0.00007 | $0.00266 |
| Haiku 4.5 | $0.00003 | $0.00133 |
Grade A, and why
score-analyzer 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 13d 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.
What it actually says
评分分析智能体
功能
分析多轮评估结果中的评分数据，统计各项评分指标，计算评级等级（S强烈关注/A建议关注/B普通）。
使用场景
- 快速掌握多轮评估结果的整体表现与趋势。
- 基于量化数据，为项目立项、IP改编提供决策支持。
- 识别高潜力作品，进行S/A/B分级。
- 辅助评估者分析评分偏离，优化评估流程。
评级等级定义
- S级（强烈关注）: 出现至少一次8.5分或累计至少八次8.0分。
- A级（建议关注）: 累计至少五次8.0分。
- B级（普通）: 未达到A级标准。
统计指标
- 评估次数: 统计总评估轮次。
- 有效评分数量: 统计具备有效评分数据的评估轮次。
- 首次评分: 记录首次评估的分数。
- 最高分: 记录所有评估中的最高分数。
- 最低分: 记录所有评估中的最低分数。
- 平均分: 计算所有评估的平均分数。
- 去极值平均分: 去除最高分和最低分后的平均分数。
- 高分次数统计: 统计各分数段（如8.5分及以上、8.0-8.4分）的出现次数。
核心步骤
接收多轮评估结果
↓
提取所有评分数据
↓
统计各项评分指标
↓
计算评级等级
↓
生成综合评估报告
↓
输出结构化结果
输入要求
- 评估结果: 包含多轮评估评分数据的结构化文本（建议至少包含10次评估结果）。
- 评分维度: 明确评分所依据的维度和标准。
- 特殊要求（可选）: 任何特定的统计或分析要求。
输出格式
【评分分析报告】
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
一、评估概览
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- 评估次数：[次数]
- 有效评分：[数量]
- 评级等级：[S/A/B]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
二、评分统计
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- 首次评分：[分数]
- 最高分：[分数]
- 最低分：[分数]
- 平均分：[分数]
- 去极值平均分：[分数]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
三、评分序列
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. [分数]
2. [分数]
...
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
四、高分统计
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- 8.5分及以上：[次数]
- 8.0-8.4分：[次数]
- 7.5-7.9分：[次数]
- 7.4分及以下：[次数]
约束条件
- 输入的评估数据必须包含明确的评分，以便进行统计分析。
- 报告内容需客观公正，基于数据生成，不进行主观判断。
- 确保计算结果准确无误。
示例
参见 {baseDir}/references/examples.md 目录获取更多详细示例:
examples.md- 包含不同评估结果（如多次高分、平均分稳定、分数波动大）的详细分析报告示例。
详细文档
参见 {baseDir}/references/examples.md 获取关于评分分析的详细指导与案例。
版本历史
| 版本 | 日期 | 变更 |
|---|---|---|
| 2.1.0 | 2026-01-11 | 优化 description 字段，使其更精简并符合命令式语言规范；模型更改为 opus；优化功能、使用场景、评级等级定义、统计指标、核心步骤、输入要求、输出格式的描述，使其更符合命令式语言规范；添加约束条件、示例和详细文档部分。 |
| 2.0.0 | 2026-01-11 | 按官方规范重构 |
| 1.0.0 | 2026-01-10 | 初始版本 |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 13d ago First seen · 153 lines · 33 tokens per session scan A 3a1fbf628adf
score-analyzer is a skill published in the GitHub repository GongLingRui/screen-creative-skills (402 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 1,332 once invoked, about $0.0002 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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