Proma is a local-first AI desktop application that combines multi-model chat, general-purpose agents, workspaces, skills, MCP servers, remote bots, and shared memory. People use it as a workspace for personal workflows, letting agents handle files, browser tasks, long-running jobs, and collaborative subtasks while storing sessions and configuration locally.
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 proma-ai/Proma --skill xlsxgit clone --depth 1 https://github.com/proma-ai/PromaWrote 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/proma-ai/proma/xlsx)<a href="https://agentmods.dev/skills/proma-ai/proma/xlsx"><img src="https://agentmods.dev/badge/skills/proma-ai/proma/xlsx/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/proma-ai/proma/xlsx"><img src="https://agentmods.dev/badge/skills/proma-ai/proma/xlsx.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 102 Subtle instructions detected that may alter agent decision-making or introduce hidden biases.Fix: Review content for implicit steering or bias. Ensure instructions are explicit and align with the skill's stated purpose.
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 | $0.00201 | $0.02844 |
| Opus 5.5 | $0.00080 | $0.01138 |
| Sonnet 5.5 | $0.00040 | $0.00569 |
| Haiku 4.5 | $0.00020 | $0.00284 |
Grade A, and why
xlsx 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 1mo 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
53 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.
- LICENSE.txt 1.4 KB
- scripts/office/helpers/__init__.py 0 B runs code
- scripts/office/helpers/merge_runs.py 5.4 KB runs code
- scripts/office/helpers/simplify_redlines.py 5.6 KB runs code
- scripts/office/pack.py 4.9 KB runs code
- scripts/office/schemas/ecma/fouth-edition/opc-contentTypes.xsd 1.9 KB
- scripts/office/schemas/ecma/fouth-edition/opc-coreProperties.xsd 2.5 KB
- scripts/office/schemas/ecma/fouth-edition/opc-digSig.xsd 2.8 KB
- scripts/office/schemas/ecma/fouth-edition/opc-relationships.xsd 1.3 KB
- scripts/office/schemas/ISO-IEC29500-4_2016/dml-chart.xsd 73 KB
- scripts/office/schemas/ISO-IEC29500-4_2016/dml-chartDrawing.xsd 6.8 KB
- scripts/office/schemas/ISO-IEC29500-4_2016/dml-diagram.xsd 50 KB
- scripts/office/schemas/ISO-IEC29500-4_2016/dml-lockedCanvas.xsd 624 B
- scripts/office/schemas/ISO-IEC29500-4_2016/dml-main.xsd 148 KB
- scripts/office/schemas/ISO-IEC29500-4_2016/dml-picture.xsd 1.2 KB
- scripts/office/schemas/ISO-IEC29500-4_2016/dml-spreadsheetDrawing.xsd 8.7 KB
- scripts/office/schemas/ISO-IEC29500-4_2016/dml-wordprocessingDrawing.xsd 14 KB
- scripts/office/schemas/ISO-IEC29500-4_2016/pml.xsd 82 KB
- scripts/office/schemas/ISO-IEC29500-4_2016/shared-additionalCharacteristics.xsd 1.2 KB
- scripts/office/schemas/ISO-IEC29500-4_2016/shared-bibliography.xsd 7.2 KB
- scripts/office/schemas/ISO-IEC29500-4_2016/shared-commonSimpleTypes.xsd 6.2 KB
- scripts/office/schemas/ISO-IEC29500-4_2016/shared-customXmlDataProperties.xsd 1.2 KB
- scripts/office/schemas/ISO-IEC29500-4_2016/shared-customXmlSchemaProperties.xsd 880 B
- scripts/office/schemas/ISO-IEC29500-4_2016/shared-documentPropertiesCustom.xsd 2.5 KB
- scripts/office/schemas/ISO-IEC29500-4_2016/shared-documentPropertiesExtended.xsd 3.4 KB
- scripts/office/schemas/ISO-IEC29500-4_2016/shared-documentPropertiesVariantTypes.xsd 7.3 KB
- scripts/office/schemas/ISO-IEC29500-4_2016/shared-math.xsd 23 KB
- scripts/office/schemas/ISO-IEC29500-4_2016/shared-relationshipReference.xsd 1.3 KB
- scripts/office/schemas/ISO-IEC29500-4_2016/sml.xsd 237 KB
- scripts/office/schemas/ISO-IEC29500-4_2016/vml-main.xsd 26 KB
- scripts/office/schemas/ISO-IEC29500-4_2016/vml-officeDrawing.xsd 25 KB
- scripts/office/schemas/ISO-IEC29500-4_2016/vml-presentationDrawing.xsd 535 B
- scripts/office/schemas/ISO-IEC29500-4_2016/vml-spreadsheetDrawing.xsd 5.6 KB
- scripts/office/schemas/ISO-IEC29500-4_2016/vml-wordprocessingDrawing.xsd 3.9 KB
- scripts/office/schemas/ISO-IEC29500-4_2016/wml.xsd 167 KB
- scripts/office/schemas/ISO-IEC29500-4_2016/xml.xsd 4.5 KB
- scripts/office/schemas/mce/mc.xsd 3.1 KB
- scripts/office/schemas/microsoft/wml-2010.xsd 26 KB
- scripts/office/schemas/microsoft/wml-2012.xsd 3.7 KB
- scripts/office/schemas/microsoft/wml-2018.xsd 901 B
- scripts/office/schemas/microsoft/wml-cex-2018.xsd 1.7 KB
- scripts/office/schemas/microsoft/wml-cid-2016.xsd 1002 B
- scripts/office/schemas/microsoft/wml-sdtdatahash-2020.xsd 600 B
- scripts/office/schemas/microsoft/wml-symex-2015.xsd 745 B
- scripts/office/soffice.py 5.2 KB runs code
- scripts/office/unpack.py 4.0 KB runs code
- scripts/office/validate.py 3.6 KB runs code
- scripts/office/validators/__init__.py 336 B runs code
- scripts/office/validators/base.py 32 KB runs code
- scripts/office/validators/docx.py 16 KB runs code
- scripts/office/validators/pptx.py 9.6 KB runs code
- scripts/office/validators/redlining.py 8.7 KB runs code
- scripts/recalc.py 5.6 KB runs code
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.
- 1mo ago First seen · 293 lines · 201 tokens per session scan A 2e587490e26c
xlsx is a skill published in the GitHub repository proma-ai/Proma (2,232 stars, last pushed 1mo ago), licensed AGPL-3.0. It adds 201 tokens to every session and 2,844 once invoked, about $0.0008 per session on Opus 5.5. 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.
Other skills, from other repositories
xlsx
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from…
google_sheets
Read, write, and manage the user's Google Sheets.
artifact_spreadsheet
Create, read, edit, fix, or clean spreadsheet files (.xlsx, .xlsm, .csv, .tsv). Use whenever a build task's artifact kind is spreadsheet, or the task names a spreadsheet file and wants something done to it or produced from it, including restructuring messy tabular data into a proper workbook. Covers openpyxl…
surfsense-documents
Make or change a Word document (.docx), a PDF, a PowerPoint deck (.pptx) or an Excel workbook (.xlsx) by writing a Python script that surfsenserenderdocument runs, optionally starting from a source's own Word or PowerPoint file. Load it whenever the user asks for one of these, or for a change to one you made.
surfsense-data
Work out numbers from spreadsheet and CSV sources (.xlsx, .csv, .tsv) by writing a pandas script that surfsenseanalyzedata runs: totals, averages, trends, rankings, comparisons, cleaning, and charts that can go into a document. Load it whenever the user asks for figures from a table, or a chart of one.
ha-data-analytics
A local-first data-analysis and reporting skill for CSV and spreadsheet files. It produces decision-ready analyses and shareable offline reports while separating facts, calculations, interpretations, and recommendations.