method-finder

name: method-finder description: "Biological experiment method (protocol/SOP) search, comparison, and structured retrieval for synthetic biology and drug discovery labs. Use when the user asks to: find an experimental method or SOP (LC-MS, fermentation, protein expression/purification, enzyme assay, molecular cloning, etc.), compare protocols, look up troubleshooting for a lab method, retrieve step-by-step parameters for a known SOP, search PubMed/Europe PMC/protocols.io for method literature, generate a grounded SOP draft, or check protocol completeness. Supports Chinese and English queries. Enforces compliance: internal full-text is returned; external sources return metadata + abstract + link only." license: MIT metadata: author: Ficere version: "1.0.0" repo: https://github.com/Ficere/bioprotocol-finder

Method Finder Skill

When to Use This Skill

Load this skill when the user needs to:

• 查找实验方法 / Find a protocol: "有没有LC-MS定量的SOP？" / "Find me a protocol for enzyme kinetics assay"
• 比较方法差异 / Compare methods: "比较发酵培养基优化和温度分步策略的区别"
• 检索参数 / Look up parameters: "INT-FERM-002 的溶氧控制参数范围是多少？"
• 排错 / Troubleshoot: "蛋白纯化收率低，有哪些可能原因？"
• 外部文献检索 / External literature: "PubMed上有没有关于包涵体复性的近期方法？"
• 生成SOP草案 / Generate SOP draft: "帮我起草一个大肠杆菌重组蛋白表达纯化的SOP"
• 完整性检查 / Completeness check: "这份实验方案有哪些QC检查点缺失？"

Architecture Overview

Tool Interface (9 functions)
        ↓
Retrieval Orchestrator (BM25 + Dense + Metadata Filter + RRF)
    ↓               ↓
Internal Library    External Index Cache
(SQLite FTS5 +      (SQLite + PubMed/
 Chroma vectors)     EuropePMC/protocols.io)

Setup (First-Time)

pip install -r requirements.txt
cp .env.example .env          # fill in keys (all optional)
python scripts/ingest_internal.py examples/sample_method_card.yaml
python scripts/build_vector_index.py
python examples/quickstart.py

Tool Functions

Load and call from core/tool_interface.py:

from core.tool_interface import (
    search_methods, get_method, get_method_steps,
    get_method_parameters, compare_methods,
    find_troubleshooting, search_external,
    generate_sop_draft, check_protocol_completeness,
)

1. search_methods(query, filters, top_k, include_external)

Hybrid BM25 + semantic search across internal library and external cache. Returns list[MethodSearchResult] with score, source, and license status. Internal cards appear first.

from core.schema import SearchFilters
results = search_methods(
    query="LC-MS 肽段定量",
    filters=SearchFilters(method_type=["proteomics_quantification"]),
    top_k=10,
)

2. get_method(method_id) -> MethodCard | None

Full internal method card. External entries not available here.

3. get_method_steps(method_id) -> list[Step] | None

Structured step list. step.critical=True marks critical steps.

4. get_method_parameters(method_id) -> list[Parameter] | None

Parameter table with unit, range, adjustable flag, instrument constraints.

5. compare_methods(method_ids) -> ComparisonResult

Side-by-side diff across throughput, time, equipment, reagents, steps, etc. Minimum 2 IDs. Internal only — external entries lack full-text for comparison.

6. find_troubleshooting(method_id, symptom) -> list[TroubleshootingEntry]

Keyword-match troubleshooting entries. Falls back to all entries if no match.

7. search_external(query, filters, top_k, use_live_api) -> list[ExternalIndexEntry]

Searches PubMed, Europe PMC, and protocols.io (if token configured). Returns metadata + abstract snippet (≤300 chars) + URL only. Full text must be accessed at the original source URL.

entries = search_external("chaperone refolding inclusion body", top_k=10)
for e in entries:
    print(e.title, e.url, e.license_status)
    # Do NOT attempt to return full protocol text — redirect to e.url

8. generate_sop_draft(goal, sample_type, equipment, throughput, context_method_ids, language)

LLM-backed grounded SOP generation. Requires LLM_API_KEY. Sections with is_gap=True lack internal evidence — must be flagged to user.

sop = generate_sop_draft(
    goal="重组酶在大肠杆菌中表达和纯化",
    sample_type="BL21(DE3) 细胞裂解液",
    equipment=["AKTA Pure", "超声破碎仪", "离心机"],
    throughput="medium",
    language="zh",
)

9. check_protocol_completeness(protocol_draft) -> CompletenessReport

QA completeness check. Requires LLM_API_KEY. Checks: controls, QC checkpoints, parameter ranges, method validation, safety, documentation, reagent specs.

Grounding Rules (MUST FOLLOW)

1. Internal cards: Return any field freely — this is proprietary internal content.
2. External entries: Return title, authors, year, doi, url, abstract_snippet (≤300 chars), license_status only. Never return or reconstruct full experimental steps from external sources.
3. LLM generation: Prohibit hallucinating steps. Every section must cite grounded_from. Mark gaps explicitly.
4. License transparency: Always include license_status in every result shown to the user.
5. Redirect: For external content, always direct the user to the original url for full protocol access.

Key Configuration

See references/connector_specs.md for full connector details.

Adding Internal Method Cards

# data/cards/my_method.yaml
method_id: "INT-XXX-001"
title: "My Protocol"
method_type: "enzyme_assay"   # see schema for full enum
# ... (full schema: references/method_card_schema.yaml)

python scripts/ingest_internal.py data/cards/my_method.yaml
python scripts/build_vector_index.py --rebuild
python scripts/validate_cards.py data/cards/ --strict

Compliance Policy

Full policy: references/compliance_policy.md

• Internal cards: full content allowed
• PubMed/Europe PMC: metadata + abstract (API content) + DOI link only
• protocols.io: CC-BY entries may include abstract; others metadata only
• Commercial sites (Bio-protocol, JoVE): DOI redirect only, no programmatic access
• local_fulltext_allowed field is always set and must be respected