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 e06084/claude-screenwriting --skill screenwriting-ingestgit clone --depth 1 https://github.com/e06084/claude-screenwritingWrote 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/e06084/claude-screenwriting/screenwriting-ingest)<a href="https://agentmods.dev/skills/e06084/claude-screenwriting/screenwriting-ingest"><img src="https://agentmods.dev/badge/skills/e06084/claude-screenwriting/screenwriting-ingest/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/e06084/claude-screenwriting/screenwriting-ingest"><img src="https://agentmods.dev/badge/skills/e06084/claude-screenwriting/screenwriting-ingest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00069 | $0.01920 |
| Opus 5 | $0.00034 | $0.00960 |
| Sonnet 5 | $0.00014 | $0.00384 |
| Haiku 4.5 | $0.00007 | $0.00192 |
Grade A, and why
screenwriting-ingest 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 10d 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 — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Screenwriting Ingest
将原始素材（大纲、笔记、剧本、反馈意见等）转化为结构化的故事 wiki 页面。按 3 阶段流水线提取，每阶段可确认后再继续。
3 阶段提取流水线
Stage 1: 提取 Meta 定位 (genre + logline + theme)
↓ 用户确认
Stage 2: 提取 Characters (角色卡 + 人物关系 canvas)
↓ 用户确认
Stage 3: 提取 Beats (15-beat + 故事线 canvas)
↓ 用户确认
写入 wiki
与 reimagine 的区别：ingest 是提取（从素材中识别已有信息），reimagine 是生成（创造性构想新内容）。因此 ingest 的每个元素都有 confidence 标注和 evidence 原文支撑。
Step 0: 读取与分析素材
- 读取指定素材文件全文
- 判断素材类型：
- 大纲型: 有完整或部分情节线（可提取 beats）
- 角色型: 侧重人物描写（可提取 characters）
- 反馈型: 他人意见或修改建议（提取 meta/建议）
- 混合型: 以上兼有
Stage 1: 提取 Meta 定位
输入: 原始素材 输出: genre + logline + theme + tone + comparable_works
提取规则
-
genre: 判断故事属于 Save the Cat 10 大类型中的哪一个
- 必须从 10 种中选 1（屋里有怪物/金羊毛/如愿以偿/麻烦家伙/成长仪式/伙伴情/推理侦探/傻瓜成功/被制度化/超级英雄）
- 如果无法确定，标注 confidence: low 并给出最可能的选项
-
logline: 从素材中提炼一句话故事（最多 50 字）
- 公式: 一个[主角特征] + [催化事件] + [目标] + [赌注]
- 如素材不完整无法提炼，标注 confidence: low
-
theme: 选 1-3 个题材类型标签
- 从标准标签选: 剧情/喜剧/动作/爱情/惊悚/犯罪/悬疑/科幻/恐怖/冒险/奇幻 等
- 第一个为主标签
-
tone: 基调描述
-
comparable_works: 2-3 部对标作品名
展示与确认
Stage 1 — Meta 提取结果:
Genre: {STC 10选1} (confidence: high/medium/low)
Logline: {一句话故事}
Theme: {题材标签 1-3个}
基调: {tone}
对标: {作品名}
证据: "{原文片段}"
确认？(y/进入 Stage 2 | edit/修正某项 | r/重新提取)
Stage 2: 提取 Characters
输入: 原始素材 + Stage 1 的 genre 定位 输出: N 个角色卡 + 人物关系.canvas
提取规则
- 角色识别阈值: 至少有名字 + 一个行为/描述才创建角色条目；纯提及不算
- 原型判断: 基于角色在故事中的功能判断原型
- 提取优先级:
- 优先提取 Tab 2 核心: wants/needs/shard_of_glass/motivation
- 其次提取 Tab 1: 外在特征
- 最后提取 Tab 3: 性格/关系
- 类型约束校验: 对照
references/genre-constraints.md，检查提取到的角色是否满足 genre 的角色要求 - Null 优于猜测: 无法从素材判断的字段设为 null
展示与确认
Stage 2 — 角色提取结果 ({N}人):
- {name} ({archetype}, confidence: high) — {一句话}
- ...
类型约束: {满足/缺少 X 角色类型}
确认？(y/进入 Stage 3 | add/补充角色 | del/删除 | edit/修正 | r/重新提取)
用户可在此阶段补充素材中未明确但逻辑上需要的角色。
Stage 3: 提取 Beats
输入: 原始素材 + Stage 1 meta + Stage 2 角色表 输出: 15 beats + 故事线.canvas
What ships with it
2 files 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.
- 10d ago First seen · 195 lines · 69 tokens per session scan A 891ce6823fa0
screenwriting-ingest is a skill published in the GitHub repository e06084/claude-screenwriting (6 stars, last pushed 2mo ago), licensed MIT. It adds 69 tokens to every session and 1,920 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 2026-08-31.
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