OpenSpace is a skill-management layer for AI agents that stores, retrieves, evaluates, shares, and improves reusable workflows. It is intended for people using multiple coding agents who want skills to be reused and refined based on task outcomes. The catalogue provides 200 skills for use with OpenSpace and the agents it supports.
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 agentmods add skills/hkuds/openspace/spreadsheet-direct-python-enhanced-enhanced-2e6773npx skills add HKUDS/OpenSpace --skill spreadsheet-direct-python-enhanced-enhanced-2e6773git clone --depth 1 https://github.com/HKUDS/OpenSpaceWrote 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/hkuds/openspace/spreadsheet-direct-python-enhanced-enhanced-2e6773)<a href="https://agentmods.dev/skills/hkuds/openspace/spreadsheet-direct-python-enhanced-enhanced-2e6773"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/spreadsheet-direct-python-enhanced-enhanced-2e6773.svg" alt="Measured on agentmods" 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 | $0.00020 | $0.02772 |
| Opus 5 | $0.00010 | $0.01386 |
| Sonnet 5 | $0.00004 | $0.00554 |
| Haiku 4.5 | $0.00002 | $0.00277 |
Grade A, and why
spreadsheet-source-validated scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
2. Disable SSL verification temporarily: `requests.get(url, verify=False)` How it starts
The opening of the file, as written. The whole thing — 365 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Validated Python Execution for Spreadsheet Tasks
Pre-Execution Data Validation
CRITICAL: Before attempting any spreadsheet operations, validate that your source data is accessible and complete.
Step 1: Verify Data Source Availability
import os
import sys
from pathlib import Path
def validate_source_data(source_paths):
"""Validate all required data sources before processing."""
missing = []
inaccessible = []
for path in source_paths:
p = Path(path)
if not p.exists():
missing.append(str(path))
elif not os.access(path, os.R_OK):
inaccessible.append(str(path))
if missing:
print(f"ERROR: Missing data sources: {', '.join(missing)}", file=sys.stderr)
return False
if inaccessible:
print(f"ERROR: Inaccessible data sources: {', '.join(inaccessible)}", file=sys.stderr)
return False
print(f"VALIDATED: {len(source_paths)} source(s) available")
return True
# Usage
sources = ['input.xlsx', 'reference_data.csv']
if not validate_source_data(sources):
sys.exit(1)
Step 2: Verify Data Integrity
import pandas as pd
from openpyxl import load_workbook
def validate_spreadsheet_integrity(file_path, required_sheets=None, required_columns=None):
"""Check spreadsheet structure before processing."""
try:
# Check file is readable
wb = load_workbook(file_path, read_only=True)
# Verify required sheets exist
if required_sheets:
missing_sheets = [s for s in required_sheets if s not in wb.sheetnames]
if missing_sheets:
print(f"ERROR: Missing sheets: {missing_sheets}", file=sys.stderr)
wb.close()
return False
# Verify required columns (sample first sheet)
if required_columns:
ws = wb.active
headers = [cell.value for cell in ws[1]]
missing_cols = [c for c in required_columns if c not in headers]
if missing_cols:
print(f"ERROR: Missing columns: {missing_cols}", file=sys.stderr)
wb.close()
return False
wb.close()
print(f"VALIDATED: Spreadsheet structure OK")
return True
except Exception as e:
print(f"ERROR: Cannot validate spreadsheet: {str(e)}", file=sys.stderr)
return False
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.
- yesterday First seen · 365 lines · 20 tokens per session scan A 0959390f71b6
spreadsheet-source-validated is a skill published in the GitHub repository HKUDS/OpenSpace (7,506 stars, last pushed 23d ago), licensed MIT. It adds 20 tokens to every session and 2,772 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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dynamic-percentage-and-large-file-analysis
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