jianying-editor-skill

jianying-editor-skill is a skill for Claude Code, Codex from yehyakin/hermes-skills. It costs 42 tokens per session (4,958 once invoked), scanned A, original, MIT.

A tool for creating JianyingPro or CapCut draft folders on macOS with the files the editor expects.

In plain words
What is it for?
Generate draft metadata and content files, configure video settings, and prepare Mac-compatible draft directories.
Why use it?
It prevents drafts from being missing from the app's draft list because required supporting files or folders were omitted.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /Users/yehya/Movies/JianyingPro/User.

Good fit Generate draft metadata and content files, configure video settings, and prepare Mac-compatible draft directories.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for jianying-editor-skill

README.md
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Your own site
<a href="https://agentmods.dev/skills/yehyakin/hermes-skills/jianying-editor-skill"><img src="https://agentmods.dev/badge/skills/yehyakin/hermes-skills/jianying-editor-skill/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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/yehyakin/hermes-skills/jianying-editor-skill"><img src="https://agentmods.dev/badge/skills/yehyakin/hermes-skills/jianying-editor-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,958 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.04958
Opus 5 $0.00021 $0.02479
Sonnet 5 $0.00008 $0.00992
Haiku 4.5 $0.00004 $0.00496

Measured 12d ago against content hash 1508d4f942ac, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

jianying-editor-skill 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 12d 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.

jianying-editor-skill/SKILL.md · 427 lines

How it starts

The opening of the file, as written. The whole thing — 427 lines — stays where its author put it; the contents beside it link to each section on GitHub.

JianyingPro/CapCut 草稿生成 (Mac)

关键发现

Mac CapCut 只认 draft_content.json + draft_meta_info.json 是不够的! 必须在同一目录补充完整的 Mac 必需文件,否则草稿不会出现在 CapCut 草稿列表中。


完整文件清单(Mac CapCut 必须全部存在)

文件/文件夹 类型 说明
draft_content.json 文件 素材+轨道数据
draft_meta_info.json 文件 草稿元信息
draft_info.json 文件 最关键 — 完整草稿信息(id/name/fps/duration/last_modified_platform)
draft_settings 文件 [General] 格式配置(不是目录
attachment_pc_common.json 文件 空结构 JSON
Resources/ 目录 空目录
common_attachment/ 目录 空目录
matting/ 目录 空目录
smart_crop/ 目录 空目录

draft_info.json 关键字段(❗ 容易出错的地方)

{
    "canvas_config": {"width": 1080, "height": 1920, "ratio": "original"},
    "fps": 30.0,
    "duration": 0,
    "id": "<UUID>",
    "name": "",  # ❗ 必须为空字符串!不要写草稿名称
    "platform": {  # ❗ 必须是 dict,不是字符串 "mac"
        "app_id": 3704,
        "app_source": "lv",
        "app_version": "5.9.0",
        "os": "mac",
        "os_version": "15.7.5",
        "device_id": "b7e0901c24cde96c267ceb6a0787cd5c",  # 从工作草稿复制
        "hard_disk_id": "a693e420c4f4598ec002ce5dc1615c10",
        "mac_address": "9ce451a57ee1c922b745dbb022d91152"
    },
    "source": "default",  # ❗ 必须是 "default",不是 "local"
    "last_modified_platform": {
        "app_id": 3704,
        "app_source": "lv",
        "app_version": "5.9.0",
        "os": "mac",
        "os_version": "15.7.5",
        "device_id": "b7e0901c24cde96c267ceb6a0787cd5c",  # 从工作草稿复制
        "hard_disk_id": "a693e420c4f4598ec002ce5dc1615c10",
        "mac_address": "9ce451a57ee1c922b745dbb022d91152"
    },
    "materials": <从draft_content.json>,
    "tracks": <从draft_content.json>,
}

常见错误及症状

错误 症状
platform 写成字符串 "mac" CapCut 显示「暂无访问权限」
source 写成 "local" 草稿不显示
name 写了草稿名称(非空字符串) 可能影响识别,必须为空字符串

完整生成步骤

import json
import os
import time

draft_dir = "/Users/yehya/Movies/JianyingPro/User Data/Projects/com.lveditor.draft/草稿名称"
os.makedirs(draft_dir, exist_ok=True)

# 1. 已有 draft_content.json + draft_meta_info.json(skill生成)

# 2. 构建 draft_info.json(Mac CapCut 必须)
draft_content = json.load(open(f"{draft_dir}/draft_content.json"))

draft_info = {
    "canvas_config": draft_content.get("canvas_config"),
    "color_space": -1,
    "config": {...},  # 标准 config 对象
    "duration": draft_content.get("duration", 0),
    "fps": draft_content.get("fps", 30.0),
    "id": "<新UUID>",
    "name": "草稿名称",
    "last_modified_platform": {
        "app_id": 3704,
        "app_source": "lv",
        "app_version": "5.9.0",
        "os": "mac",
        "os_version": "15.7.5"
    },
    "materials": draft_content.get("materials", {}),
    "tracks": draft_content.get("tracks", []),
    "version": "6.0.0"
}

with open(f"{draft_dir}/draft_info.json", "w") as f:
    json.dump(draft_info, f, ensure_ascii=False)

# 3. 创建目录
for folder in ["Resources", "common_attachment", "matting", "smart_crop"]:
    os.makedirs(f"{draft_dir}/{folder}", exist_ok=True)

# 4. 创建 draft_settings(文件,非目录!)
draft_settings_content = f"""[General]
cloud_last_modify_platform=mac
draft_create_time={int(time.time())}
draft_last_edit_time={int(time.time())}
real_edit_keys=1
real_edit_seconds=0
"""
with open(f"{draft_dir}/draft_settings", "w") as f:
    f.write(draft_settings_content)

# 5. 创建 attachment_pc_common.json
attachment_pc_common = {
    "ai_packaging_infos": [],
    "ai_packaging_report_info": {
        "caption_id_list": [],
        "task_id": "",
        "text_style": "",
        "tos_id": "",
        "video_category": ""
    },
    "commercial_music_category_ids": [],
    "pc_feature_flag": 0,
    "recognize_tasks": [],
    "template_item_infos": [],
    "unlock_template_ids": []
}
with open(f"{draft_dir}/attachment_pc_common.json", "w") as f:
    json.dump(attachment_pc_common, f)

Read the full file on GitHub · 427 lines

Changes

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.

  1. 12d ago First seen · 427 lines · 42 tokens per session scan A 1508d4f942ac

Subscribe to this mod's changes

jianying-editor-skill is a skill published in the GitHub repository yehyakin/hermes-skills (9 stars, last pushed 3mo ago), licensed MIT. It adds 42 tokens to every session and 4,958 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 2026-08-31.

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