Hope Agent is a cross-device personal AI assistant that remembers context, uses tools, and continues working toward goals through dynamically organized workflows. Individuals use it from desktop, web, server, or messaging environments to manage projects, knowledge, designs, and long-running tasks. The catalogue add-ons extend its agent workflows and capabilities.
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 shiwenwen/hope-agent --skill office-xlsxgit clone --depth 1 https://github.com/shiwenwen/hope-agentWrote 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/shiwenwen/hope-agent/office-xlsx)<a href="https://agentmods.dev/skills/shiwenwen/hope-agent/office-xlsx"><img src="https://agentmods.dev/badge/skills/shiwenwen/hope-agent/office-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/shiwenwen/hope-agent/office-xlsx"><img src="https://agentmods.dev/badge/skills/shiwenwen/hope-agent/office-xlsx.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 | $0.00064 | $0.01315 |
| Opus 5 | $0.00032 | $0.00658 |
| Sonnet 5 | $0.00013 | $0.00263 |
| Haiku 4.5 | $0.00006 | $0.00131 |
Grade A, and why
office-xlsx scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Office XLSX
Use the bundled scripts in this skill package to produce editable .xlsx
workbooks. The builder writes formulas, styles, bar/column/line/pie charts,
real Excel tables, data validation, conditional formatting, and workbook
recalculation hints. The skill activation metadata includes Skill directory;
treat that as SKILL_DIR and run scripts from SKILL_DIR/scripts/.
Workbook Shape
For nontrivial workbooks, prefer:
- Summary or dashboard sheet first.
- Inputs / assumptions sheet next.
- Detail or source data sheets after that.
- Checks sheet only when formulas, reconciliations, or model integrity matter.
Workflow
- Normalize source data before writing the workbook.
- Use formulas for derived values instead of hardcoded calculated outputs.
Strings beginning with
=are written as Excel formulas. - For structured workbook creation, create a JSON spec in the working directory and run:
python3 "$SKILL_DIR/scripts/check_env.py"
python3 "$SKILL_DIR/scripts/build_xlsx.py" --spec spec.json --out output.xlsx
python3 "$SKILL_DIR/scripts/inspect_xlsx.py" --verify output.xlsx
python3 "$SKILL_DIR/scripts/formula_audit.py" output.xlsx
- For CSV/TSV conversion, run one or more inputs into one workbook:
python3 "$SKILL_DIR/scripts/csv_to_xlsx.py" --input data.csv --input lookup.tsv --sheet Data --sheet Lookup --out output.xlsx
python3 "$SKILL_DIR/scripts/inspect_xlsx.py" --verify output.xlsx
- If visual QA matters and LibreOffice is available, run:
python3 "$SKILL_DIR/scripts/render_preview.py" output.xlsx
- To patch an existing workbook without rebuilding it, create a patch JSON and run:
python3 "$SKILL_DIR/scripts/patch_xlsx.py" --input existing.xlsx --patch patch.json --out output.xlsx
python3 "$SKILL_DIR/scripts/inspect_xlsx.py" --verify output.xlsx
python3 "$SKILL_DIR/scripts/formula_audit.py" output.xlsx --write-cache cached-output.xlsx
Patch actions:
{
"actions": [
{"action": "append_rows", "sheet": "Data", "rows": [["New", 123, "=B2*2"]]},
{"action": "set_cell", "sheet": "Summary", "cell": "B2", "value": "=SUM(Data!B:B)"}
]
}
What ships with it
10 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.
- agents/openai.yaml 294 B
- scripts/build_xlsx.py 25 KB runs code
- scripts/check_env.py 1.0 KB runs code
- scripts/csv_to_xlsx.py 2.5 KB runs code
- scripts/formula_audit.py 12 KB runs code
- scripts/inspect_xlsx.py 2.5 KB runs code
- scripts/patch_xlsx.py 6.3 KB runs code
- scripts/recalculate_xlsx.py 1.6 KB runs code
- scripts/render_pdf.py 894 B runs code
- scripts/render_preview.py 2.1 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.
- 12d ago First seen · 144 lines · 64 tokens per session scan A ded4ad51e927
office-xlsx is a skill published in the GitHub repository shiwenwen/hope-agent (1,589 stars, last pushed 2d ago), licensed MIT. It adds 64 tokens to every session and 1,315 once invoked, about $0.0003 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.
Other skills, from other repositories
xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify…
office-xlsx
Create, read, and edit Excel (.xlsx) spreadsheets programmatically with openpyxl — cell values, formulas, styling (fonts/fills/borders/alignment/number formats), merged cells, multiple sheets, charts, and data validation. Use whenever the user wants a spreadsheet created, inspected, or modified, or references an .xlsx…
agent-office
A guide for creating, editing, rewriting, converting, processing, or delivering Word documents, spreadsheets, presentations, and PDF files.
aetox-audit-xls
ตรวจเวิร์กบุ๊กที่คนอื่นทำมา ก่อนเชื่อตัวเลขในนั้นหรือส่งต่อให้ใครใช้ หา error, ค่าคงที่ฝังในสูตร, สูตรที่หลุดแพตเทิร์น, ช่วง SUM ที่ขาดแถว, สูตรที่ถูกวางทับด้วยค่า และงบที่ไม่บาลานซ์.
aetox-clean-data-xls
ล้างข้อมูลที่เละก่อนเอาไปคำนวณ รวมยอด หรือ pivot ช่องว่างหัวท้าย ตัวพิมพ์ไม่ตรงกัน ตัวเลขที่ถูกเก็บเป็นข้อความ วันที่คนละฟอร์แมตในคอลัมน์เดียว แถวซ้ำ และตัวอักษรเพี้ยน.
sn-da-excel-workflow
A step-by-step workflow for analysing Excel workbooks with multiple sheets. It covers reading data, cleaning it, filtering and combining results, and exporting reports, with a separate strategy for large files.