Resume screener

1nika: v12workflow:3  id: resume-screener4  description: "glob CVs → local-model rubric per candidate → deterministic shortlist"5​6model: ollama/qwen3.5:4b   # PII stays on the machine · the whole screen is offline7​8permits:                    # the file IS the blast radius · no net category at all:9  fs:                       # CVs cannot leave this machine even if a prompt is hijacked10    read: ["./hiring/inbox/**"]11    write: ["./hiring/out/**", "./hiring/shortlist-brief.md"]12  tools: ["nika:glob", "nika:read", "nika:jq", "nika:write"]13​14vars:15  role: "Senior Rust engineer"16  cv_glob: "./hiring/inbox/*.md"17  shortlist_size: 518​19tasks:20  pool:21    ◆invoke:22      tool: "nika:glob"23      args: { pattern: "${{ vars.cv_glob }}" }24​25  cvs:26    with:27      paths: ${{ tasks.pool.output }}    # the collection crosses the boundary here28    for_each: ${{ with.paths }}29    max_parallel: 830    fail_fast: false                   # one unreadable CV must not stop the batch31    on_error:32      recover: null                    # null keeps the zip aligned · filtered later33    ◆invoke:34      tool: "nika:read"35      args: { path: "${{ item }}" }36​37  pairs:38    with:39      paths: ${{ tasks.pool.output }}40      texts: ${{ tasks.cvs.output }}41    ◆invoke:                            # zip path + content · order survived the nulls42      tool: "nika:jq"43      args:44        input: ["${{ with.paths }}", "${{ with.texts }}"]45        expression: "transpose | map(select(.[1] != null)) | map({path: .[0], text: .[1]})"46​47  screened:48    with:49      pairs: ${{ tasks.pairs.output }}   # pre-fan-out import · the collection50      cv_path: ${{ item.path }}          # re-evaluated per iteration51    for_each: ${{ with.pairs }}52    max_parallel: 2                    # local model · don't thrash the GPU53    fail_fast: false54    on_error:55      recover: null56    ◇infer:57      prompt: |58        Role · ${{ vars.role }}59        Candidate file · ${{ with.cv_path }}60        CV ·61        ${{ item.text }}62        Score this candidate against the role. Quote evidence from the63        CV for every rating: no rating without a quote.64      schema:65        type: object66        required: [file, fit, strengths, concerns]67        properties:68          file: { type: string }69          fit: { type: string, enum: [strong, possible, weak] }70          years_relevant: { type: integer }71          strengths: { type: array, items: { type: string } }72          concerns: { type: array, items: { type: string } }73​74  ranked:75    with:76      screened: ${{ tasks.screened.output }}77    ◆invoke:78      tool: "nika:jq"79      args:80        input: "${{ with.screened }}"81        expression: 'map(select(. != null)) | map(select(.fit != "weak")) | sort_by(.fit != "strong", -(.years_relevant // 0))'82​83  shortlist:84    with:85      ranked: ${{ tasks.ranked.output }}86    ◆invoke:87      tool: "nika:jq"88      args:89        input: "${{ with.ranked }}"90        expression: ".[:${{ vars.shortlist_size }}]"91​92  brief:93    with:94      shortlist: ${{ tasks.shortlist.output }}95    when: ${{ size(with.shortlist) > 0 }}96    ◇infer:97      prompt: |98        Write the screening brief for these shortlisted candidates ·99        ${{ with.shortlist }}100        One paragraph each · lead with the evidence quotes · end with101        the suggested interview focus.102​103  save:104    with:105      brief: ${{ tasks.brief.output }}106    when: ${{ with.brief != null }}    # skip cascades by VALUE · a skipped brief reads null107    ◆invoke:108      tool: "nika:write"109      args:110        path: "./hiring/shortlist-brief.md"111        content: "${{ with.brief }}"112        create_dirs: true113​114outputs:115  shortlist:116    value: ${{ tasks.shortlist.output }}117    description: "Ranked candidates · strong first, then by relevant years"118​