drpy-node-play-debug

An archived troubleshooting guide for drpy-node video playback links, especially lazy parsing and links that look playable but are not. It has been replaced by drpy-node-coder.

In plain words
What is it for?
Use it only for historical guidance when diagnosing iframe, m3u8, encryption, anti-hotlinking, or browser-generated playback problems in drpy-node.
Why use it?
It helps distinguish a real video stream from an intermediate page, encrypted link, or URL that only appears to be direct. It also limits changes when the underlying source data is unreliable.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/hjdhnx/drpy-node-skill/drpy-node-play-debug
Any agent
npx skills add hjdhnx/drpy-node-skill --skill drpy-node-play-debug
Clone the repo
git clone --depth 1 https://github.com/hjdhnx/drpy-node-skill

Made for: Claude Code, Codex.

Per session 121 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,215 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00121 $0.07215
Opus 5 $0.00060 $0.03608
Sonnet 5 $0.00024 $0.01443
Haiku 4.5 $0.00012 $0.00722

Measured 2d ago against content hash dffd30c547f9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

drpy-node-play-debug 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 2d 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.

drpy-node-play-debug/SKILL.md · 567 lines

How it starts

The opening of the file, as written. The whole thing — 567 lines — stays where its author put it; the contents beside it link to each section on GitHub.

⚠️ 已归档(2026-07-17):本 skill 已被 drpy-node-coder 取代。coder 融合了 4 个旧 skill(workflow/create/play-debug/repo-upload)的全部工作流,并自带 scripts/cli.js CLI 替代 drpy-node-mcp 服务——一个 skill、无需安装 MCP。本文件保留仅供历史参考,新工作请直接用 drpy-node-coder。

drpy-node Play Debug

快速索引

播放表现 优先判断 首选动作
detail 没有 vod_play_url 不是播放问题 交回 workflow 修二级
parse:0 返回 /play/*.html 假直链 改 parse:1 或提取 iframe/m3u8
player_* url 乱码 encrypt/base64/sign 先解密再判直链/解析
浏览器可播但静态 HTML 无 m3u8 JS 运行时生成 Playwright network 兜底
多线路部分可播 按 flag/input 分派 不要一刀切 lazy

执行契约

  • 输入:source_name、detail ids、play_url、flag、当前 lazy 返回值或错误表现。
  • 输出:播放类型判断、lazy 修复方案、play 接口验证结果。
  • 停手:detail 不稳定、一级/搜索同时异常、上传/评估整源诉求出现时交回 workflow。

模式闸门:先判断是否允许写入

用户模式 允许动作 禁止动作
只读 / 规划 / dry-run / 不要改文件 读取、诊断、判断 lazy 类型、给修复方案和复测计划 drpy_edit_file、重写 lazy、仓库上传/改标签
需要确认后再改 读取、诊断、输出播放诊断确认 未确认前禁止改 lazy
明确要求执行 按同一 play_url + flag 修改并复测 detail 不稳定时不得深挖 lazy
自主全流程 detail 稳定时自动做低风险 lazy 修复、复测并回传 autonomous_next 改 detail、强绕登录/验证码、高风险多分支重写

如果用户说“只判断 / 不要修改 / dry-run”,本 skill 只能输出播放诊断确认、lazy 修改建议和验证计划。

自主全流程调用约定

当 workflow/source-create 为“修到100 / 满分后上传 / 不要中途问我”调用本 skill,且已传入真实 source_name/ids/play_url/flag 并确认 detail 稳定时,本 skill 可自动执行低风险播放修复:

  1. 记录修改前 detail 摘要和 play 返回。
  2. 判断返回类型:直链 / 站外解析 / 播放页 / 特殊协议 / 假通过。
  3. 只修改 lazy 相关最小逻辑,不顺带改一级、二级、搜索。
  4. 用同一 play_url + flag 复测。
  5. 返回 blocker_typeautonomous_next 给 workflow。

必须停手的 blocker:

blocker_type 判定 autonomous_next
detail_unstable detail 没有稳定 vod_play_from/vod_play_url return_workflow
hard_anti_bot 验证码、强 headless 检测、DRM/WASM stop_for_user
missing_credentials 播放需要 Cookie/Authorization/登录 stop_for_user
high_risk_change 需要重写多条线路、删除模板 lazy、影响所有 flag stop_for_user
none 低风险修复已完成并复测 continue_evaluate

Return Packet 必含:

source_name: ...
ids: ...
flag: ...
play_url: ...
修改前 play: {parse, jx, url}
修改后 play: {parse, jx, url} / 未修改
结论: 真实可播 / 假通过 / 需浏览器确认
blocker_type: none / detail_unstable / hard_anti_bot / missing_credentials / high_risk_change
autonomous_next: continue_evaluate / retry_lazy / return_workflow / stop_for_user

Read the full file on GitHub · 567 lines

Files

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.

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. 2d ago First seen · 567 lines · 121 tokens per session scan A dffd30c547f9

Subscribe to this mod's changes

drpy-node-play-debug is a skill published in the GitHub repository hjdhnx/drpy-node-skill (48 stars, last pushed 1mo ago), licensed MIT. It adds 121 tokens to every session and 7,215 once invoked, about $0.0006 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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