# Paper To Bilibili > | - **Type:** Skill - **Install:** `agentstack add skill-yhbcode000-paper-share-skills-paper-to-bilibili` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [yhbcode000](https://agentstack.voostack.com/s/yhbcode000) - **Installs:** 0 - **Category:** [Content & Media](https://agentstack.voostack.com/c/content-and-media) - **Latest version:** 0.1.0 - **License:** Apache-2.0 - **Upstream author:** [yhbcode000](https://github.com/yhbcode000) - **Source:** https://github.com/yhbcode000/paper-share-skills/tree/main/paper-to-bilibili - **Website:** https://blog.yhbcode000.tech/paper-share-skills/ ## Install ```sh agentstack add skill-yhbcode000-paper-share-skills-paper-to-bilibili ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About # Paper to Bilibili This is the sole full-pipeline orchestration identity. It composes these promoted packages plus the retained managed Rednote workflow: - `paper-to-beamer`: paper and MinerU content to compiled 16:10 SUSTech Beamer slides. - `paper-video-cover`: optional poster generation for reference; the normal video cover remains the generated cover artifact. - `paper-slides-to-video`: physical-page render, narration extraction, TTS, landscape assembly, cover, and Bilibili metadata. - `rednote-video-uploader` (managed): required portrait video generation. - `paper-bilibili-uploader`: fail-closed validation, dry-run, upload, and durable receipt. Outputs use `$PP_ROOT/论文分享//` with `md_output/`, `slides-beamer/`, and `video/`. ## Modes and phases ### `slides`: paper to compiled slides When an entry has a nonempty `arxiv_id` (or the user provided an arXiv link) and no source exists on disk (no root PDF, no `paper_src/` with `.tex`), download the TeX source first: ```bash python \ "/paper-download-arxiv-paper-source/scripts/download_source.py" \ "" --output "" ``` The downloader creates `/arXiv-.tar.gz` + `/paper_src/`; then follow `skill://paper-to-beamer` Phase 1 onward (Phase 1's move step is skipped since the paper dir already exists). For `PDF_ONLY` output, copy the PDF to the paper dir root (the `pdf_downloaded` gate requires a root PDF). Follow `skill://paper-to-beamer` for content authoring. Required gates before continuing: 1. `slides-beamer/main.tex` contains the paper-specific narrative from paper information and motivation through methods, experiments, limitations, takeaways, references, Q&A, and 3–8 useful appendix slides. 2. The document uses the SUSTech 16:10 template (`aspectratio=1610`). 3. `slides-beamer/main.pdf` is nonempty, with no undefined controls or severe overflow. The batch CLI only scans and persists disk evidence for this agent-authored phase; it does not fabricate slides. ### Narration authoring gate Copy the compiled TeX to `video/main_with_narration.tex` and add exactly one nonempty `% NARRATION:` entry per physical PDF page. Narration is polished Simplified Chinese with English technical terms inline. It expands the technical argument rather than reading bullets, avoids visual-only references such as “本页” or “如图所示”, and covers appendix pages too. The transition from `slides_done` to `narrations_done` occurs only when both the compiled slides and nonempty annotated TeX exist. ### `video`: narrated landscape and portrait artifacts ```bash python /paper-to-bilibili/scripts/batch.py video "" ``` For each `narrations_done` paper, the orchestrator calls the sibling `paper-slides-to-video` `full` command. After child success it rescans and atomically persists `video_done`. It then calls the managed `rednote-video-uploader/scripts/portrait_video.py`, rescans, validates cover and Bilibili metadata, and atomically persists `upload_ready`. Child failures propagate and never advance state. Quality gates are exact frame/text/MP3 cardinality, nonempty narration and audio for every physical page, a nonempty landscape MP4, a nonempty portrait MP4, a nonempty cover, and schema-valid Bilibili metadata. ### `bilibili`: validate or upload Always review a dry-run first: ```bash python /paper-to-bilibili/scripts/batch.py bilibili "" --dry-run ``` Dry-run delegates to the promoted uploader and must leave `upload_ready` unchanged. Remove `--dry-run` only after review. There is no default upload timeout; an operator may opt in with `--upload-timeout SECONDS`. Normal uploads require P1 landscape then P2 portrait. Metadata uses singular `tag`, a positive `tid`, valid copyright/source fields, a structured description, and a nonempty cover. A paper becomes `uploaded` only when `video/upload_result.json` is valid and contains a matching BV URL plus ISO-8601 timestamp. ## State contract `batch.py` rescans the disk with this exact precedence: 1. valid `upload_result.json` → `uploaded` 2. nonempty landscape + nonempty portrait + cover + schema-valid `video_meta.json` → `upload_ready` 3. nonempty landscape → `video_done` 4. compiled slides + nonempty annotated TeX → `narrations_done` 5. compiled slides → `slides_done` 6. MinerU Markdown → `mineru_done` 7. source PDF or extracted TeX source (paper_src/ containing .tex) → `pdf_downloaded` 8. otherwise → `pending` Every successful child command is followed by a rescan and atomic replacement of the input JSON. State changes are printed as `STATE : -> `. Dry-run validates and delegates but never invents a new state. A failed child preserves the last grounded state and its exit code is propagated. ## Batch input `papers.json` is an array of objects with a nonempty absolute `dir_path`; `dir_name`, `arxiv_id`, `pdf_path`, and descriptive fields may accompany it. The orchestrator records `_status` in each object. ## Prerequisites - Python 3.10+ (if `python` is not on PATH, use `py -3`). - Dependencies are declared in `pyproject.toml` (currently none at runtime); install the project with `uv sync --project /paper-to-bilibili` when adding any. - `` is the directory containing the installed skill folders (e.g. `~/.claude/skills`, `~/.codex/skills`, `.omp/skills`); sibling skills (`paper-slides-to-video`, `paper-bilibili-uploader`, `paper-download-arxiv-paper-source`) must be installed next to this one so sibling resolution stays project-local and deterministic. - `PAPER_PYTHON` (optional): interpreter used to launch sibling CLIs; defaults to the interpreter running `batch.py`. ## Related skills - skill://paper-bilibili-uploader - skill://paper-download-arxiv-paper-source - skill://paper-slides-to-video - skill://paper-to-beamer - skill://paper-video-cover - skill://rednote-video-uploader ## Source & license This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [yhbcode000](https://github.com/yhbcode000) - **Source:** [yhbcode000/paper-share-skills](https://github.com/yhbcode000/paper-share-skills) - **License:** Apache-2.0 - **Homepage:** https://blog.yhbcode000.tech/paper-share-skills/ Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** no - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/skill-yhbcode000-paper-share-skills-paper-to-bilibili - Seller: https://agentstack.voostack.com/s/yhbcode000 - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.