modelscope.cn
token-efficient
Use when processing 50+ items, analyzing CSV/log files, executing code in sandbox, or searching for tools. Load for data processing tasks. Achieves 98%+ token savings via in-sandbox execution, progressive disclosure, and pagination. Supports heredocs for multi-line bash.
Use judgment
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Installation
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Global
$
npx skills add https://modelscope.cn
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SKILL.md
Token-Efficient MCP
Process data in sandbox, return only results. 98%+ token savings.
Instructions
Search for tool: search_tools("csv") (95% savings vs loading all)
Process data in sandbox (never load raw to context)
Use pagination for large files: offset, limit
Return summaries, not raw data
Quick Commands
# Process CSV with filter
scripts/process-csv.sh data.csv "price > 100"
# Search logs for errors
scripts/search-logs.sh app.log "ERROR|WARN"
# Execute code in sandbox
scripts/run-sandbox.sh script.py
Token Savings
Tool
Savings
Example
execute_code
98%+
Run Python without loading
process_csv
99%
10K rows → 100 results
process_logs
95%
100K lines → 500 matches
search_tools
95%
Find tools on-demand
MCP Tools
Tool
Purpose
execute_code
Python/Bash/Node in sandbox
process_csv
Filter, aggregate CSV
process_logs
Pattern match logs
search_tools
Find tools by keyword
batchprocess csv
Multiple CSVs at once
References
File
Load When
references/patterns.md
Choosing which tool
references/examples.md
Need code examples