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Look up current research information using the Parallel Chat API (primary) or Perplexity sonar-pro-search (academic paper searches). Automatically routes queries to the best backend.
Passed 17 of 20 test cases with the skill, and 6 of 20 without it.
and 10 more in the full report
13 fixed8 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
Which specific model identifier is used by research_lookup.py when interacting with the Parallel Chat API endpoint?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies core as the model identifier | Missed | Passed |
The instructions your model reads when the skill loads.
This skill provides real-time research information lookup with intelligent backend routing:
core model): Default backend for all general research queries. Provides comprehensive, multi-source research reports with inline citations via the OpenAI-compatible Chat API at https://api.parallel.ai.The skill automatically detects query type and routes to the optimal backend.
Use this skill when you need:
When creating documents with this skill, always consider adding scientific diagrams and schematics to enhance visual communication.
If your document does not already contain schematics or diagrams:
python scripts/generate_schematic.py "your diagram description" -o figures/output.png
The skill automatically routes queries to the best backend based on content:
test cases passed, vs 6 / 20 without
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