Real Skill packageSource verifiedClawHub registry

identify-rd-directions-rd

Convert a concrete engineering, scientific, manufacturing, or technical project requirement into evidence-backed R&D directions, including requirement analysis, bounded technical issues, research questions, tasks, targets, deliverables, patent and literature evidence, standards and engineering cases, relevant organizations, search logs, and synchronized Markdown and HTML reports. Use when a user asks what R&D directions to pursue, how to decompose a project into research routes, or needs an evidence-led R&D direct…

Identity and source

Publisher attributionyuanzhian-patsnapregistry owner unverified by skillvetai
Functional categorySearch, Research & Knowledgeautomatically inferred · 64% rule confidence
Package forminstruction with code7 recorded files
Canonical sourceClawHub registryclawhub:yuanzhian-patsnap:identify-rd-directions-rd
Open canonical source ↗

Platform declarations

These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.

OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 8/13/2026.claude/skills/identify-rd-directions-rd

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 8/13/2026.agents/skills/identify-rd-directions-rd

Runtime, 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/identify-rd-directions-rd

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @yuanzhian-patsnap/identify-rd-directions-rd
clawhub inspect @yuanzhian-patsnap/identify-rd-directions-rd --version 1.0.0

Security evidence

SkillVetAI static result: no findings detected

This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.

Status
completed
Coverage
full text content
Files
7 / 7 inspected as text
Checked
8/13/2026, 7:30:35 PM
Scanner
0.1.3
Policy
1.0.3
3 inferred permission indicators
  • network access — automatically inferred
  • filesystem read — automatically inferred
  • filesystem write — automatically inferred
3 dependency and API indicators
  • api: clawhub.ai
  • api: example.org
  • api: open.patsnap.com
External clawhub result: clean

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
8/13/2026, 8:18:53 AM
Release binding
Matches this record
  • vt: clean
  • skillspector: clean
  • llm: clean

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:5c191987ffb741478bfe156df56401cd6e75bfb2ae68c7dfa4b7a02823c0eee3
Show up to 7 recorded paths
  • assets/paths.md
  • assets/payload-schema.md
  • assets/report-template.md
  • assets/workflow.md
  • scripts/render_report.py
  • skill-card.md
  • SKILL.md

Source changelog

Initial release of "identify-rd-directions-rd": Convert concrete project requirements into evidence-backed R&D direction reports. - Transforms technical, engineering, or scientific requirements into structured R&D directions with traceable analysis. - Produces canonical JSON, synchronized Markdown, and HTML reports from validated payloads. - Integrates requirement analysis, technical issue decomposition, evidence retrieval, and deliverable creation. - Emphasizes explicit input and scope boundaries, artifact validation, and robust completion gating. - Designed for evidence-backed decomposition of R&D problems, not for legal, patentability, or safety assessments.