بنقرة واحدة
autoresearch
Self-improving research loops with hypothesis generation, experiment design, and result analysis
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Self-improving research loops with hypothesis generation, experiment design, and result analysis
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
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استنادا إلى تصنيف SOC المهني
| name | autoresearch |
| display_name | Autoresearch Specialist |
| description | Self-improving research loops with hypothesis generation, experiment design, and result analysis |
| version | 0.1.0 |
| source_repo | karpathy/autoresearch |
| license | MIT |
| tier | core |
| capabilities | ["research","hypothesis_generation","experiment_design","result_analysis"] |
| allowed_tools | ["run_experiment","analyze_results","generate_hypothesis"] |
| output_formats | ["python_api","cli","mcp_server","agent_skill","rest_api"] |
Wraps the karpathy/autoresearch patterns to provide self-improving research loops inside OSS Agent Lab. Given a topic or question, the specialist generates falsifiable hypotheses, runs simulated experiments, and produces an evidence-backed analysis with confidence scores and next-step recommendations — ready to iterate.
| Tool | Description | Side Effects |
|---|---|---|
generate_hypothesis | Generates structured hypotheses for a topic | None |
run_experiment | Simulates running an experiment for a hypothesis | None (v1 is local; future: network) |
analyze_results | Analyzes experiment findings; returns insights and confidence score | None |
from agents.specialists.autoresearch.agent import AutoresearchSpecialist
from oss_agent_lab.contracts import Intent, Query, SpecialistRequest
specialist = AutoresearchSpecialist()
request = SpecialistRequest(
intent=Intent(action="research", domain="science", confidence=0.9),
query=Query(user_input="effects of sleep deprivation on cognitive performance"),
specialist_name="autoresearch",
)
result = await specialist.execute(request)
print(result.result["analysis"]["summary"])
oss-lab run autoresearch "effects of sleep deprivation on cognitive performance"
request = SpecialistRequest(
intent=Intent(
action="research",
domain="science",
confidence=0.9,
parameters={"method": "simulation"},
),
query=Query(user_input="quantum error correction thresholds"),
specialist_name="autoresearch",
)
{
"topic": "...",
"hypotheses": [
{"id": "h1", "text": "...", "confidence": 0.75, "rationale": "...", "testable": true}
],
"recommended_hypothesis": "h1",
"experiment": {"id": "abc12345", "method": "literature_review", "status": "completed"},
"analysis": {
"summary": "...",
"key_insights": ["..."],
"confidence_score": 0.575,
"next_steps": ["..."]
}
}
Wraps karpathy/autoresearch.