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 skills/microsoft/researchstudio/paper2videonpx skills add microsoft/ResearchStudio --skill paper2videogit clone --depth 1 https://github.com/microsoft/ResearchStudioWhat 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 | $0.00157 | $0.06731 |
| Opus 5 | $0.00078 | $0.03365 |
| Sonnet 5 | $0.00031 | $0.01346 |
| Haiku 4.5 | $0.00016 | $0.00673 |
Grade A, and why
paper2video 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.
How it starts
The opening of the file, as written. The whole thing — 547 lines — stays where its author put it; the contents beside it link to each section on GitHub.
paper2video - paper/assets -> ppt-master deck -> pptx2video render -> narrated MP4
paper2video is a thin orchestrator with exactly one supported path. It does
not author slides itself, does not synthesize audio itself, does not
composite video itself, and does not gate QA itself. It resolves inputs and
one shared trigger decision, then fully delegates:
paper.pdf
-> skills/paper2assets/scripts/build_package.py (shared package)
-> assets/meta/paper_spec.md + assets/meta/narration.json
-> ppt_options_contract.py resolve-ppt-trigger (ONE trigger decision)
-> installed ppt-master skill (full workflow, receives the trigger)
-> installed pptx2video skill / CLI `bootstrap` then `render` (full workflow, receives the trigger)
-> ppt_stage_validator.py audit-final-pptx-trigger (proves the handoff held)
-> video.mp4, video_no_subtitles.mp4, video.pptx
There is only one route. An earlier version of this skill had a second,
self-implemented "Route A" that called private narration, duration, and
visual-cue scripts and invoked python -m pptx2video.render_video /
pptx2video.build_timeline / pptx2video.check_video_package as if they were
importable submodules of the installed public package. Those modules do not
exist at that import path in the public pptx2video CLI; the entry
points are the pptx2video render, pptx2video doctor, and pptx2video bootstrap subcommands. Do not recreate that shortcut. Do not hand-assemble a
narration script, a visual-cue file, or a "simplified" render pipeline that
skips the installed pptx2video skill. Do not invoke any private submodule
path under pptx2video.*. Every render goes through /pptx2video (the
installed skill) or the exact pptx2video render CLI invocation in Step 5;
there is no lower-effort fallback for a rushed or low-context session.
Why full delegation is mandatory
pptx2video render is not a smoke-test wrapper. Its own CLI (cli.py
_render()) always runs the QA pass and always writes
assets/meta/reports/video_qa_report.json; there is no --no-qa flag and no
way to skip the check itself. A hand-rolled call into an internal module could
skip that gate entirely, which is why every render goes through the Step 5
command.
What ships with it
6 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.
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.
- 2d ago First seen · 547 lines · 157 tokens per session scan A ec80baf41b35
paper2video is a skill published in the GitHub repository microsoft/ResearchStudio (2,614 stars, last pushed 3d ago), licensed MIT. It adds 157 tokens to every session and 6,731 once invoked, about $0.0008 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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