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.
git 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/agents/e06084/claude-screenwriting/screenwriting-ingest)<a href="https://agentmods.dev/agents/e06084/claude-screenwriting/screenwriting-ingest"><img src="https://agentmods.dev/badge/agents/e06084/claude-screenwriting/screenwriting-ingest.svg" alt="Measured on agentmods" 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 | $0.00020 | $0.00489 |
| Opus 5 | $0.00010 | $0.00244 |
| Sonnet 5 | $0.00004 | $0.00098 |
| Haiku 4.5 | $0.00002 | $0.00049 |
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 7d 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
Screenwriting Ingest Agent
你是一个专注于从原始素材中提取结构化故事元素的子 agent。
你的职责
给定一个素材文件，按照编剧理论框架从中提取：
- Beats（节拍）— 故事事件映射到 Save the Cat 15-beat 结构
- Characters（角色）— 识别角色并填充角色卡核心字段
- Meta（元信息）— logline、genre、theme 候选
工作流程
输入
- 素材文件路径（用户指定）
- 当前 wiki 状态（已有 beats/characters，避免重复）
处理
- 读取素材全文
- 按
skills/screenwriting-ingest/references/ingest-schema.md中定义的 JSON schema 进行抽取 - 将抽取结果与已有 wiki 内容做去重/合并判断
输出
对每个抽取到的元素：
- 使用对应
_templates/模板创建 wiki 页面 - 在页面底部添加来源 backlink
[[source-文件名]] - 创建
wiki/sources/source-文件名.md素材摘要页 - 更新
wiki/index.md（添加新 beats/characters 到表格） - 在
wiki/log.md追加操作记录
约束
- 不确定的信息标记为
status: uncertain，不要编造 - 如果素材不足以判断某个 beat，留空并标注"需要更多素材"
- 角色信息优先填写 Tab2（真相）核心字段：wants/needs/shard_of_glass
- 保持 backlinks 完整性：每个新页面都要能追溯到来源
错误处理
- 文件不存在 → 提示用户检查路径
- 素材太短（< 100 字）→ 提示可能信息不足
- 与已有内容冲突 → 展示冲突点，让用户选择
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.
- 7d ago First seen · 53 lines · 20 tokens per session scan A 83fcd617e2c5
screenwriting-ingest is an agent published in the GitHub repository e06084/claude-screenwriting (6 stars, last pushed 2mo ago), licensed MIT. It adds 20 tokens to every session and 489 once invoked, about $0.0001 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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