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 dfk1352/LibreOffice-skills --skill libreoffice-calcgit clone --depth 1 https://github.com/dfk1352/LibreOffice-skillsWrote 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/dfk1352/libreoffice-skills/libreoffice-calc)<a href="https://agentmods.dev/skills/dfk1352/libreoffice-skills/libreoffice-calc"><img src="https://agentmods.dev/badge/skills/dfk1352/libreoffice-skills/libreoffice-calc/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/dfk1352/libreoffice-skills/libreoffice-calc"><img src="https://agentmods.dev/badge/skills/dfk1352/libreoffice-skills/libreoffice-calc.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 | $0.00051 | $0.02922 |
| Opus 5 | $0.00026 | $0.01461 |
| Sonnet 5 | $0.00010 | $0.00584 |
| Haiku 4.5 | $0.00005 | $0.00292 |
Grade A, and why
libreoffice-calc 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 — 414 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LibreOffice Calc
Use the bundled calc modules for UNO-backed Calc spreadsheet work.
All paths must be absolute. Bundled modules live under scripts/ in this
skill directory, so set PYTHONPATH=<skill_base_dir>/scripts.
If setup or runtime issues appear, check references/troubleshooting.md.
API Surface
# Non-session utilities
create_spreadsheet(path, source=None) # source: path to .json or .xml file to import
export_spreadsheet(path, output_path, export_format) # formats: "pdf", "xlsx", "csv"
snapshot_area(doc_path, output_path, sheet="Sheet1", row=0, col=0, width=None, height=None, dpi=150)
# Session (primary editing API)
CalcSession(path) -> context manager
CalcSession methods:
read_cell(target: CalcTarget) -> dict[str, object]
write_cell(target: CalcTarget, value, value_type="auto")
read_range(target: CalcTarget) -> list[list[dict[str, object]]]
write_range(target: CalcTarget, data)
format_range(target: CalcTarget, formatting: CellFormatting)
list_sheets() -> list[dict[str, object]]
add_sheet(name, index=None)
rename_sheet(target: CalcTarget, new_name)
delete_sheet(target: CalcTarget)
define_named_range(name, target: CalcTarget)
get_named_range(target: CalcTarget) -> dict[str, object]
delete_named_range(target: CalcTarget)
set_validation(target: CalcTarget, rule: ValidationRule)
clear_validation(target: CalcTarget)
create_chart(target: CalcTarget, spec: ChartSpec)
update_chart(target: CalcTarget, spec: ChartSpec)
delete_chart(target: CalcTarget)
recalculate()
patch(patch_text, mode="atomic") -> PatchApplyResult
export(output_path, export_format)
reset()
close(save=True)
# Standalone patch utility
patch(path, patch_text, mode="atomic") -> PatchApplyResult
Structured Targets: CalcTarget
from calc import CalcTarget
CalcTarget(
kind="cell" | "range" | "sheet" | "named_range" | "chart",
sheet=None,
sheet_index=None,
row=None,
col=None,
end_row=None,
end_col=None,
name=None,
index=None,
)
What ships with it
14 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.
- references/troubleshooting.md 3.5 KB
- scripts/calc/__init__.py 586 B runs code
- scripts/calc/core.py 3.5 KB runs code
- scripts/calc/exceptions.py 2.5 KB runs code
- scripts/calc/patch.py 12 KB runs code
- scripts/calc/session.py 19 KB runs code
- scripts/calc/snapshot.py 7.3 KB runs code
- scripts/calc/targets.py 13 KB runs code
- scripts/colors.py 4.6 KB runs code
- scripts/constants.py 180 B runs code
- scripts/exceptions.py 748 B runs code
- scripts/patch_base.py 12 KB runs code
- scripts/session.py 2.6 KB runs code
- scripts/uno_bridge.py 9.1 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.
- 11d ago First seen · 414 lines · 51 tokens per session scan A ea6ca66dc013
libreoffice-calc is a skill published in the GitHub repository dfk1352/LibreOffice-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 51 tokens to every session and 2,922 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 2026-08-31.
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