Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 8/13/2026.claude/skills/experiment-dataset-costingRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Real Skill packageSource verifiedClawHub registry
实验数据集成本估算（Experiment Dataset Cost Estimation）
估算实验和科研数据集所需资源、周期与成本
Identity and source
Publisher attributionyuanzhian-patsnapregistry owner unverified by skillvetai
Functional categoryData, Spreadsheets & Analyticsautomatically inferred · 54% rule confidence
Package forminstruction with code15 recorded files
Canonical sourceClawHub registryclawhub:yuanzhian-patsnap:experiment-dataset-costing
Platform declarations
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OpenClawnative officialProvenance: registry distribution
Independent structural checks
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OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 8/13/2026.agents/skills/experiment-dataset-costingRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 8/13/2026skills/experiment-dataset-costingRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Installation and inspection
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clawhub install @yuanzhian-patsnap/experiment-dataset-costingclawhub inspect @yuanzhian-patsnap/experiment-dataset-costing --version 1.0.0Security evidence
SkillVetAI static result: no findings detected
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- Status
- completed
- Coverage
- full text content
- Files
- 15 / 15 inspected as text
- Checked
- 8/13/2026, 7:30:35 PM
- Scanner
- 0.1.3
- Policy
- 1.0.3
3 inferred permission indicators
- shell execution — automatically inferred
- network access — automatically inferred
- filesystem write — automatically inferred
7 dependency and API indicators
- api: clawhub.ai
- api: go.drugbank.com
- api: pubchem.ncbi.nlm.nih.gov
- api: www.bindingdb.org
- api: www.ebi.ac.uk
- api: www.rcsb.org
- api: zinc22.docking.org
External clawhub result: clean
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- Evidence checked
- 8/13/2026, 8:19:13 AM
- Release binding
- Matches this record
- vt: clean
- skillspector: suspicious
- llm: clean
Recorded files
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Package content hash
sha256:1b444843e134a619645ef4bcfa7bb439ae3a43be3bd0c61aa36db9b06eee0cc7Show up to 15 recorded paths
agents/openai.yamlassets/example_output_pdl1_4-1bb.mdassets/report_template.mdreferences/compliance_rules.mdreferences/cost_benchmarks.mdreferences/database_coverage.mdreferences/field_schema.mdreferences/mcp_tool_routing.mdscripts/__init__.pyscripts/main.pyscripts/run_estimator.pyscripts/test_estimator.pyskill-card.mdskill.manifest.jsonSKILL.md
Source changelog
experiment-dataset-costing 1.0.0 — Initial Release - Provides automated estimation of resource requirements, project cycle, and costs for experiment/training dataset construction (manpower, samples, reagents, equipment, compute, procurement, delivery). - Supports multi-step workflow including: data availability assessment, SAR patent estimate, ADMET filtering, compliance risk rating, workload/cost computation, and Word report generation. - Accepts target/indication list, modelling task, use case, molecule type, and optional output settings as inputs. - Outputs comprehensive dataset scheme reports with cost summary, compliance matrix, and data inventory. - Includes detailed example and guardrails on estimation accuracy and usage limits.