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 skills add eric861129/SKILLS_All-in-one --skill polaris-datainsight-doc-extractgit clone --depth 1 https://github.com/eric861129/SKILLS_All-in-oneWrote 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/eric861129/skills_all-in-one/polaris-datainsight-doc-extract)<a href="https://agentmods.dev/skills/eric861129/skills_all-in-one/polaris-datainsight-doc-extract"><img src="https://agentmods.dev/badge/skills/eric861129/skills_all-in-one/polaris-datainsight-doc-extract/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/eric861129/skills_all-in-one/polaris-datainsight-doc-extract"><img src="https://agentmods.dev/badge/skills/eric861129/skills_all-in-one/polaris-datainsight-doc-extract.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00141 | $0.02430 |
| Opus 5 | $0.00071 | $0.01215 |
| Sonnet 5 | $0.00028 | $0.00486 |
| Haiku 4.5 | $0.00014 | $0.00243 |
Grade B, and why
polaris-datainsight-doc-extract scanned grade B with 2 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 9d 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
response = requests.post( "https://datainsight-api.polarisoffice.com/api/v1/datainsight/doc-extract", Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
response = requests.post( How it starts
The opening of the file, as written. The whole thing — 307 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Polaris AI DataInsight — Doc Extract Skill
Use the Polaris AI DataInsight Doc Extract API to extract text, images, tables, charts, shapes, equations, and more from Word, PowerPoint, Excel, HWP, and HWPX files, returning everything as a structured unifiedSchema JSON. A single API call gives you the full document structure without any manual parsing.
When to Use This Skill
- The user wants to extract text, tables, charts, or images from DOCX, PPTX, XLSX, HWP, or HWPX files
- The user needs to understand a document's structure (page count, element types, position data, etc.)
- The extracted data will be used in a RAG pipeline, data analysis workflow, or automation task
- Table data needs to be converted to CSV, or chart data needs to be broken down into series and labels
- The user needs to parse special elements like headers, footers, equations, or shapes
What This Skill Does
- Authentication — Authenticates with the Polaris DataInsight API via the
x-po-di-apikeyheader. - Upload and extract — Sends the file as a multipart/form-data POST request and extracts the full document structure.
- Parse ZIP response — The API returns a ZIP file; extract it and load the
unifiedSchemaJSON inside. - Deliver structured data — Returns a JSON organized by page and element type (text, table, chart, image, shape, equation, etc.).
- Support multiple usage patterns — Handles full text extraction, table-to-CSV conversion, RAG chunk generation, and more.
How to Use
Prerequisites
Get an API Key: Sign up at https://datainsight.polarisoffice.com and generate your API key.
Authentication: Include the API key as a header on every request.
Header: x-po-di-apikey: $POLARIS_DATAINSIGHT_API_KEY
Set the environment variable:
export POLARIS_DATAINSIGHT_API_KEY="your-api-key-here"
Limits
| Item | Limit |
|---|---|
| Supported formats | HWP, HWPX, DOCX, PPTX, XLSX |
| Max file size | 25 MB |
| Timeout | 10 minutes |
| Rate limit | 10 requests per minute |
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.
- 9d ago First seen · 307 lines · 141 tokens per session scan B 6bca6bc4c8ef
polaris-datainsight-doc-extract is a skill published in the GitHub repository eric861129/SKILLS_All-in-one (52 stars, last pushed 4mo ago), licensed MIT. It adds 141 tokens to every session and 2,430 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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