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Score the novelty of biological targets through literature mining and.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/aipoch/medical-research-skills --skill target-novelty-scorerコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
SOC 職業分類に基づく
SKILL.md を表示中
| name | target-novelty-scorer |
| description | Score the novelty of biological targets through literature mining and. |
| license | MIT |
| author | AIPOCH |
ID: 177
See ## Features above for related details.
scripts/main.py.references/ for task-specific guidance.See ## Usage above for related details.
cd "20260318/scientific-skills/Evidence Insight/target-novelty-scorer"
python -m py_compile scripts/main.py
python scripts/main.py --help
Example run plan:
CONFIG block or documented parameters if the script uses fixed settings.python scripts/main.py with the validated inputs.See ## Workflow above for related details.
scripts/main.py.references/ contains supporting rules, prompts, or checklists.Use this command to verify that the packaged script entry point can be parsed before deeper execution.
python -m py_compile scripts/main.py
Use these concrete commands for validation. They are intentionally self-contained and avoid placeholder paths.
python -m py_compile scripts/main.py
python scripts/main.py --help
Score the novelty of biological targets based on literature mining. By analyzing literature in academic databases such as PubMed and PubMed Central, assess the research popularity, uniqueness, and innovation potential of target molecules in the research field.
cd /Users/z04030865/.openclaw/workspace/skills/target-novelty-scorer
python scripts/main.py --target "PD-L1"
python scripts/main.py \
--target "BRCA1" \
--db pubmed \
--years 10 \
--output report.json \
--format json
| Parameter | Type | Default | Description |
|---|---|---|---|
--target | string | required | Target molecule name or gene symbol |
--db | string | pubmed | Data source (pubmed, pmc, all) |
--years | int | 5 | Analysis year range |
--output | string | stdout | Output file path |
--format | string | text | Output format (text, json, csv) |
--verbose | flag | false | Verbose output |
{
"target": "PD-L1",
"novelty_score": 72.5,
"confidence": 0.85,
"breakdown": {
"research_heat": 18.5,
"uniqueness": 20.0,
"research_depth": 15.2,
"collaboration": 12.0,
"trend": 6.8
},
"metadata": {
"total_papers": 15234,
"recent_papers": 3421,
"clinical_trials": 89,
"analysis_date": "2026-02-06"
},
"interpretation": "This target has moderate novelty, with moderate research heat in recent years..."
}
pip install -r requirements.txt
MIT License - Part of OpenClaw Bioinformatics Skills Collection
| Risk Indicator | Assessment | Level |
|---|---|---|
| Code Execution | Python scripts with tools | High |
| Network Access | External API calls | High |
| File System Access | Read/write data | Medium |
| Instruction Tampering | Standard prompt guidelines | Low |
| Data Exposure | Data handled securely | Medium |
# Python dependencies
pip install -r requirements.txt
Every final response should make these items explicit when they are relevant:
scripts/main.py fails, report the failure point, summarize what still can be completed safely, and provide a manual fallback.This skill accepts requests that match the documented purpose of target-novelty-scorer and include enough context to complete the workflow safely.
Do not continue the workflow when the request is out of scope, missing a critical input, or would require unsupported assumptions. Instead respond:
target-novelty-scoreronly handles its documented workflow. Please provide the missing required inputs or switch to a more suitable skill.
Use the following fixed structure for non-trivial requests:
If the request is simple, you may compress the structure, but still keep assumptions and limits explicit when they affect correctness.