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-pptx-embedded-excel-updatergit 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-pptx-embedded-excel-updater)<a href="https://agentmods.dev/skills/openlair/openskill/evo-pptx-embedded-excel-updater"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-pptx-embedded-excel-updater/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-pptx-embedded-excel-updater"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-pptx-embedded-excel-updater.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 | $0.00103 | $0.01162 |
| Opus 5 | $0.00051 | $0.00581 |
| Sonnet 5 | $0.00021 | $0.00232 |
| Haiku 4.5 | $0.00010 | $0.00116 |
Grade A, and why
evo-pptx-embedded-excel-updater 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 today.
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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
evo-pptx-embedded-excel-updater
Overview
End-to-end handling of embedded Excel OLE objects in PPTX files. Covers:
- Identifying OLE shapes and text boxes on slides
- Extracting embedded xlsx blobs via python-pptx
- Reading/modifying Excel data with openpyxl while preserving formula cells
- Writing modified blobs back into the PPTX package
- Parsing text box content for updated exchange rate values
Requirements
- python-pptx >= 1.0.2
- openpyxl >= 3.1.5
Key Domain Knowledge
OLE Object Identification
- Embedded Excel objects have
shape.shape_type == MSO_SHAPE_TYPE.EMBEDDED_OLE_OBJECT(integer 7) - The
ole_format.prog_idcontains 'Excel' (typically 'Excel.Sheet.12') - Do NOT confuse with
MSO_SHAPE_TYPE.TABLE(native DrawingML tables)
Excel Blob Access
- Use
shape.ole_format.blobfor direct byte access to the embedded xlsx - For write-back, get the relationship ID from
shape._element.xpath('.//p:oleObj')and accessslide.part.rels[r_id].target_part - Replace via
target_part._blob = modified_bytes
Formula Preservation
- CRITICAL: Load workbook with
data_only=Falseto preserve formulas - Formula cells are strings starting with '='
- Only update non-formula (hardcoded value) cells
- openpyxl strips cached formula values on save; Excel recalculates on open
Text Box Reading
- Check
shape.has_text_framebefore accessing text shape.textgives full text content- Soft line breaks appear as
\x0b(vertical tab)
Exchange Rate Table Structure
- Row 1: headers ("Exchange Rate", currency codes...)
- Column A: row currency labels
- Cell at (row_currency_row, col_currency_col) = rate from row_currency to col_currency
- Diagonal cells = 1 (same currency)
Usage
import sys
sys.path.insert(0, '/app/environment/skills/evo-pptx-embedded-excel-updater/scripts')
from utils import (
find_embedded_ole_excel_shapes,
extract_excel_blob_from_ole_shape,
read_text_boxes_from_slide,
parse_exchange_rate_from_text,
load_excel_from_blob,
update_excel_cell_preserve_formulas,
save_excel_to_blob,
replace_ole_blob_in_pptx,
find_cell_by_currency_pair,
process_pptx_exchange_rate_update
)
# Quick end-to-end usage:
process_pptx_exchange_rate_update('/root/input.pptx', '/root/results.pptx')
# Or step-by-step:
from pptx import Presentation
prs = Presentation('input.pptx')
slide = prs.slides[0]
# Find Excel objects
excel_shapes = find_embedded_ole_excel_shapes(slide)
shape, ole = excel_shapes[0]
# Read text box for updated rate
text_boxes = read_text_boxes_from_slide(slide)
for name, text in text_boxes:
rate_info = parse_exchange_rate_from_text(text)
if rate_info:
from_curr, to_curr, new_rate = rate_info
break
# Extract and modify Excel
excel_blob, r_id, target_part = extract_excel_blob_from_ole_shape(shape, slide)
wb, ws = load_excel_from_blob(excel_blob)
cell_coord = find_cell_by_currency_pair(ws, from_curr, to_curr)
old_val, updated = update_excel_cell_preserve_formulas(ws, cell_coord, new_rate)
# Save back
modified_blob = save_excel_to_blob(wb)
replace_ole_blob_in_pptx(target_part, modified_blob)
prs.save('output.pptx')
What ships with it
1 file 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.
- today First seen · 113 lines · 103 tokens per session scan A 2d5aa5675616
evo-pptx-embedded-excel-updater is a skill published in the GitHub repository OpenLAIR/OpenSkill (88 stars, last pushed yesterday), licensed Apache-2.0. It adds 103 tokens to every session and 1,162 once invoked, about $0.0005 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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