.claude/skills/job-match-priorityRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Match and prioritize job listings against a candidate profile using KSAO-based dual-layer funnel scoring with Agent reasoning.
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/job-match-priorityRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/job-match-priorityRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/job-match-priorityRuntime, 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 @iichaner/job-match-priorityclawhub inspect @iichaner/job-match-priority --version 0.1.0This 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.
sha256:72ac5957f3b2f501cd0991cadecba6ae350b007b45780d38641a07a849f86689assetsassets/edge-cases.mdassets/usage-guide.mdREADME.mdreferencesreferences/candidate-profile.mdreferences/field-config.mdreferences/priority-rules.mdskill-card.mdSKILL.mdInitial release with KSAO-based job-candidate match and prioritization workflow. - Implements dual-layer funnel scoring and full agent reasoning for job matching. - Step-by-step interactive setup: collects candidate preferences, parses resume, and generates personalized matching rules. - Includes calibration flow using real JDs for user validation and feedback. - Batch processes JD sources (Feishu tables, local files, pasted content) with data deduplication, completeness check, and result writing. - Dynamic, user-tailored competency dimensions (no preset lists). - Automated AI keyword boosting in job titles and concise reason generation for each match. - Comprehensive reporting and user reminders throughout the process.