.claude/skills/solution-researchRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Use when choosing solutions, including selecting open-source projects, working around issues, and comparing products.
These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.
These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.
.claude/skills/solution-researchRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/solution-researchRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/solution-researchRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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 @jiesou/solution-researchclawhub inspect @jiesou/solution-research --version 1.0.0This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
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.
The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.
sha256:560ef1bfe9c2c601c73e7ce14c27582a5430d46f0b193baea76f3a19411f1488skill-card.mdSKILL.mdsolution-research v1.0.0 – Initial Release - Introduces a structured workflow for researching and selecting solutions, with strong emphasis on engineering best practices and evidence-based evaluation. - Advises against reinventing the wheel; prioritizes finding existing solutions and analyzing depth over speed. - Details phase-based methodology: broad information gathering, in-depth "vibe" assessment (including metrics like freshness, sustainability, code quality), and next-step reporting. - Requires rigorous evidence collection, comprehensive documentation, and context-rich analysis from diverse sources (GitHub, Reddit, forums, etc.). - Stresses the importance of deep research and complete, actionable reports with full citation of sources.