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 agentmods add instructions/mathruffian-dot/codex-video-specs/agents-mdgit clone --depth 1 https://github.com/mathruffian-dot/codex-video-specsWrote 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/instructions/mathruffian-dot/codex-video-specs/agents-md)<a href="https://agentmods.dev/instructions/mathruffian-dot/codex-video-specs/agents-md"><img src="https://agentmods.dev/badge/instructions/mathruffian-dot/codex-video-specs/agents-md.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 | $0.00778 | $0.00778 |
| Opus 5 | $0.00389 | $0.00389 |
| Sonnet 5 | $0.00156 | $0.00156 |
| Haiku 4.5 | $0.00078 | $0.00078 |
Grade A, and why
codex-video-specs AGENTS.md 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 4d 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
AGENTS.md - Codex 影片製作入口
你是 Codex agent。使用本 repo 時，請照這份流程做，不要直接開始寫 index.html。
固定回應規則
- 使用繁體中文。
- 涉及檔案時，回報完整路徑。
- Windows 使用 PowerShell 語法。
- 實作前先展示計畫與檔案清單。
- 修改或新增檔案前，先說明要做什麼。
五階段流程
階段 0：讀取規範
先讀：
GOTCHAS.mdQUALITY_GATE.md- 使用者選定類型的 spec
只做摘要，不要把整份規範貼給使用者。
階段 1：確認需求
向使用者確認：
- 影片類型：01 活動紀錄 / 02 教學 / 03 社群科普
- 主題與受眾
- 片長
- 素材來源
- 是否需要旁白
- 是否需要 BGM
如果使用者已經給足資訊，直接整理成確認表。
階段 2：前置三文件
先產出：
SCRIPT.md：逐頁或逐 beat 腳本、旁白、字幕、畫面描述。DESIGN.md：字體、配色、版面、動畫節奏。ASSETS.md：素材清單、來源、授權、缺口。
必須在對話中摘要展示，等使用者明確確認後才能進入階段 3。
階段 3：實作與渲染
實作順序：
- 建立專案結構。
- 準備素材與字體。
- 合成旁白。
- 寫
index.html。 - 寫
record.cjs與render.py。 - 產出
final.mp4。
技術規則：
node_modules必須在%TEMP%\cvs-render。- FFmpeg concat 暫存清單放在純英文 temp 路徑。
- 合併音訊必須使用
-map 0:v:0 -map 1:a:0。 - 錄影 URL 必須加
?render=true。
階段 4：品質閘門
渲染後必須：
- 抽至少 6 張關鍵幀截圖。
- 填寫
QA.md。 - 檢查字幕、字體、重疊、音訊、節奏、事實與數學正確性。
- 發現問題就修改並重渲染。
沒有 QA 截圖，不算完成。
階段 5：收尾
交付時回報：
final.mp4路徑SCRIPT.md/DESIGN.md/QA.md路徑- 使用的素材來源
- 尚未處理的限制或風險
禁止事項
- 不要未經確認就開始 code / TTS / render。
- 不要把 Claude / OpenCode / Antigravity 的身份文字留在 Codex 專案。
- 不要把每日進度寫進
AGENTS.md。 - 不要在雲端同步資料夾安裝大量依賴。
- 不要只確認影片能播放就交付。
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.
- 4d ago First seen · 94 lines · 778 tokens per session scan A 1349c654bd06
codex-video-specs AGENTS.md is an instructions file published in the GitHub repository mathruffian-dot/codex-video-specs (5 stars, last pushed 3mo ago), licensed MIT. It adds 778 tokens to every session, about $0.0039 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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