Analyzing Spreadsheets
Processes Excel spreadsheet files (.xlsx, .xlsm, .csv). Creates workbooks, builds formulas, preserves formatting, analyzes tabular data, and validates financial models with zero-formula-error delivery. Use when working with spreadsheet files or tabular data analysis. Do NOT use for Word documents, PDFs, presentations, or database pipelines.
Install
$ agentstack add skill-telagod-code-abyss-analyzing-spreadsheets ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-telagod-code-abyss-analyzing-spreadsheets) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
XLSX Processing
Create, edit, analyze .xlsx files. LibreOffice required for formula recalculation via recalc.py.
Iron Rule
Zero formula errors at delivery. All formulas must compute — no #REF!, #DIV/0!, #VALUE!, #N/A, #NAME?. Always run recalc.py after writing formulas.
Decision Matrix
| Task | Tool | Reference | |------|------|-----------| | Data analysis, bulk ops, simple export | pandas | [recipes.md](references/recipes.md) | | Formulas, formatting, Excel features | openpyxl | [recipes.md](references/recipes.md) | | Financial model standards | — | [financial-model.md](references/financial-model.md) | | Recalculate formulas | recalc.py | [recipes.md](references/recipes.md) |
Common Workflow
- Choose tool: pandas for data, openpyxl for formulas/formatting
- Create/Load workbook
- Modify data, formulas, formatting
- Save
- Recalculate (MANDATORY if formulas):
python recalc.py output.xlsx - Verify & fix errors — check JSON output, fix
#REF!/#DIV/0!/#VALUE!/#NAME?
Hard Constraints
- Use formulas, not hardcoded values — calculations stay dynamic. See [recipes.md](references/recipes.md#critical-use-formulas-not-hardcoded-values).
- Preserve existing templates — match existing format/style EXACTLY when updating; user template overrides defaults.
- Financial models — follow color/format conventions in [financial-model.md](references/financial-model.md).
Code Style
- Concise Python, no unnecessary comments or print statements.
- Excel files: comment cells with complex formulas, document hardcode sources.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: telagod
- Source: telagod/code-abyss
- License: MIT
- Homepage: https://www.npmjs.com/package/code-abyss
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.