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 seb1n/awesome-ai-agent-skills --skill spreadsheet-analysisgit clone --depth 1 https://github.com/seb1n/awesome-ai-agent-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/seb1n/awesome-ai-agent-skills/spreadsheet-analysis)<a href="https://agentmods.dev/skills/seb1n/awesome-ai-agent-skills/spreadsheet-analysis"><img src="https://agentmods.dev/badge/skills/seb1n/awesome-ai-agent-skills/spreadsheet-analysis/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/seb1n/awesome-ai-agent-skills/spreadsheet-analysis"><img src="https://agentmods.dev/badge/skills/seb1n/awesome-ai-agent-skills/spreadsheet-analysis.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 | $0.00102 | $0.01953 |
| Opus 5.5 | $0.00041 | $0.00781 |
| Sonnet 5.5 | $0.00020 | $0.00391 |
| Haiku 4.5 | $0.00010 | $0.00195 |
Grade A, and why
spreadsheet-analysis 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.
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spreadsheet Analysis
Preserve the source workbook, distinguish stored values from formulas, and support every conclusion with reproducible checks.
Inputs
Collect or state:
- Source file(s), business question, intended audience, output format, and acceptance criteria.
- Relevant sheets/ranges, keys, units, currencies, date/time zones, accounting signs, and reporting period.
- Whether formulas, formatting, comments, hidden content, macros, external links, pivots, charts, and protection must remain intact.
- Authoritative totals or source systems for reconciliation.
- Confidentiality constraints and whether local-only processing is required.
Do not guess the meaning of unlabeled fields or ambiguous blanks, zeros, percentages, dates, and IDs. Record assumptions.
Output contract
Return:
- Source path, hash, format, workbook/sheet inventory, and analysis scope.
- Findings with metric definition, formula or method, filters, units, period, denominator, and evidence location.
- Data-quality and formula issues separated from business conclusions.
- A new output workbook/data file when edits are requested; never silently overwrite the source.
- Reconciliation, recalculation, re-open, and visual inspection results with limitations.
Clearly label calculated, estimated, cached, missing, and externally sourced values. Do not claim a workbook was recalculated if only cached formula results were read.
Workflow
1. Preserve and inventory
- Resolve exact paths, calculate source hashes, and work from a copy or new output path.
- Do not open untrusted workbooks with macros enabled or refresh external connections.
- Run the bundled read-only profiler from this skill directory for CSV, TSV, XLSX, or XLSM inventory:
python3 scripts/profile_table.py /path/to/data.csv --pretty
python3 scripts/profile_table.py /path/to/workbook.xlsx --pretty
python3 scripts/profile_table.py /path/to/data.csv --output /path/to/profile.json --pretty
The script uses the Python standard library, streams logical CSV/TSV records (including quoted multiline fields), applies byte/row/field/member limits, does not calculate formulas, and does not modify the file. It does not emit profiled data-row cell values, but it does emit headers, sheet names, counts, numeric ranges, and structural metadata. With --output, it refuses input aliases and non-regular destinations, then atomically creates or replaces the report via a sibling temporary file. A partial, row_limit_reached, or skipped_* status means the inventory is incomplete; review the stated limit instead of treating the profile as a verdict.
What ships with it
5 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.
- 1mo ago First seen · 130 lines · 102 tokens per session scan A b22c37c260b4
spreadsheet-analysis is a skill published in the GitHub repository seb1n/awesome-ai-agent-skills (231 stars, last pushed 2mo ago), licensed MIT. It adds 102 tokens to every session and 1,953 once invoked, about $0.0004 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 2026-09-03.
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