Borrowing it
Nothing to install: this file belongs to gaotiexinqu/OneResearchClaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/gaotiexinqu/OneResearchClaw/main/.cursor/skills/pptx-grounding/SKILL.mdgit clone --depth 1 https://github.com/gaotiexinqu/OneResearchClawWrote 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/skills/gaotiexinqu/oneresearchclaw/pptx-grounding)<a href="https://agentmods.dev/skills/gaotiexinqu/oneresearchclaw/pptx-grounding"><img src="https://agentmods.dev/badge/skills/gaotiexinqu/oneresearchclaw/pptx-grounding/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.
<a href="https://agentmods.dev/skills/gaotiexinqu/oneresearchclaw/pptx-grounding"><img src="https://agentmods.dev/badge/skills/gaotiexinqu/oneresearchclaw/pptx-grounding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00027 | $0.01879 |
| Opus 5 | $0.00014 | $0.00940 |
| Sonnet 5 | $0.00005 | $0.00376 |
| Haiku 4.5 | $0.00003 | $0.00188 |
Grade A, and why
pptx-grounding 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 11d 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 — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PPTX Grounding
This skill handles PowerPoint (.pptx) inputs in the any-input -> grounding -> downstream research / summary / report pipeline.
Its job is not to write a polished final report. Its job is to produce a stable, structured, reusable evidence bundle for a deck. After that, the agent must read the bundle and write a real grounded.md.
When to use this skill
Use this skill for common PowerPoint decks such as:
- project updates
- proposal decks
- experiment / result review decks
- internal presentations
- lecture / meeting decks
- any
.pptxwhere the main evidence lives in slide titles, bullets, text boxes, images, tables, charts, and speaker notes
Use this skill when slide order, per-slide structure, and per-slide assets matter.
Relationship to other grounding skills
This skill is not the same as document-grounding:
- document-grounding is primarily linear-document oriented
- pptx-grounding is slide-oriented
- slide order, slide-level structure, and per-slide assets matter here
This skill is also not table-grounding:
- it may export tables and charts found inside a deck
- but it treats them as deck evidence assets, not as standalone spreadsheet analysis tasks
Supported extraction targets
This skill should extract and organize the following when present:
- deck-level metadata
- slide-by-slide structure
- slide title extraction
- bullet / paragraph extraction
- other text-box extraction
- speaker notes extraction
- embedded image export
- native PowerPoint table export
- native PowerPoint chart export (lightweight best-effort extraction)
AssetRefinsertion intoextracted.md- bundle generation for downstream agent grounding
Out of scope
This skill does not aim to handle the following:
- video / audio extraction
- animation / transition analysis
- OCR on images
- SmartArt semantic reconstruction
- precise visual rendering / slide preview generation
- embedded file deep extraction
- comment / revision workflows
- automatic polished final report generation
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.
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.
- 11d ago First seen · 330 lines · 27 tokens per session scan A fcdce183ed2f
pptx-grounding is a skill published in the GitHub repository gaotiexinqu/OneResearchClaw (446 stars, last pushed 4mo ago), licensed MIT. It adds 27 tokens to every session and 1,879 once invoked, about $0.0001 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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