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 OpenLAIR/OpenSkill --skill evo-excel-iogit clone --depth 1 https://github.com/OpenLAIR/OpenSkillWrote 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/openlair/openskill/evo-excel-io)<a href="https://agentmods.dev/skills/openlair/openskill/evo-excel-io"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-excel-io/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/openlair/openskill/evo-excel-io"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-excel-io.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 | $0.00049 | $0.00483 |
| Opus 5 | $0.00024 | $0.00242 |
| Sonnet 5 | $0.00010 | $0.00097 |
| Haiku 4.5 | $0.00005 | $0.00048 |
Grade A, and why
evo-excel-io 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 yesterday.
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.
What it actually says
evo-excel-io
Utility functions for safe Excel I/O with openpyxl 3.1.5.
Key Features
- Monkey-patches openpyxl 3.1.5 AppVersion bug to prevent chart corruption
- Safe cell value reading that handles MergedCell objects
- Scanning all sheets for "???" placeholder markers
- Writing recovered numeric values with proper type casting
- Preserving cell formatting during value replacement
Usage
import sys
sys.path.insert(0, '/app/environment/skills/evo-excel-io/scripts')
from utils import (
load_workbook_safe,
find_missing_cells,
get_cell_value_safe,
write_recovered_value,
save_workbook_safe,
is_numeric,
is_missing
)
# Load workbook (data_only=True for cached formula values)
wb = load_workbook_safe('input.xlsx')
# Find all ??? cells
missing = find_missing_cells(wb) # Returns list of {sheet, row, col, coordinate}
# Safely read a cell (handles merged cells)
val = get_cell_value_safe(ws, row=5, col=3)
# Write recovered value
write_recovered_value(ws, row=5, col=3, 1534)
# Save with AppVersion fix
save_workbook_safe(wb, 'output.xlsx')
Functions
load_workbook_safe(filepath, data_only=True)- Load workbook with safe defaultsfind_missing_cells(wb, marker="???")- Find all cells with marker across all sheetsget_cell_value_safe(ws, row, col)- Read cell value handling MergedCellwrite_recovered_value(ws, row, col, value)- Write numeric value preserving formatsave_workbook_safe(wb, output_path)- Save with AppVersion monkey-patchis_numeric(value)- Check if value is int/float (not bool)is_missing(value, marker="???")- Check if value is the missing marker
What ships with it
2 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.
- yesterday First seen · 57 lines · 49 tokens per session scan A dac2048f0001
evo-excel-io is a skill published in the GitHub repository OpenLAIR/OpenSkill (90 stars, last pushed 2d ago), licensed Apache-2.0. It adds 49 tokens to every session and 483 once invoked, about $0.0002 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 2026-09-11.
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