// HR & Recruiting

Interview Loop Consistency Auditor

Name: Interview Loop Consistency Auditor
Brand: JustHandled Labs
Price: 19 USD
Availability: InStock

Audit interview coverage, repeated questions, scorecard gaps and feedback timing against a supplied approved rubric without ranking candidates.

Get it on Agensi — $19 Find another skill $19 one-time

Format: Agent skill, not a browser app. You need an AI agent that can load its instructions and use the required tools.

Package requirements: Python CLI on Windows tested; standard-library Python 3.10+ source. Agent-host installation not independently tested.

You get: Interview coverage, repeated-question and scorecard findings, plus a human-review queue.

Licence and purchase details

JustHandled Labs paid skill license; included LICENSE.txt governs

Review the offer and access method at your chosen marketplace. Agensi provides connected-agent access, not a download. Buying a skill does not include an AI-agent subscription or setup service.

Agensi access: This product’s bundled-script workflow through Agensi has not been verified here. Tests of other products do not establish this package’s compatibility. Local setup examples apply to separately obtained downloadable packages.

See tested hosts, versions and workflow limits.

What problem does Interview Loop Consistency Auditor solve?

Audit interview coverage, repeated questions, scorecard gaps and feedback timing against a supplied approved rubric without ranking candidates.

Use it to

For recruiting operations reviewing an interview loop, reconcile approved competencies, questions and feedback timestamps; unlike broad hiring judgment review, replay precise coverage and sequence findings without candidate ranking.
Review a synthetic example before supplying authorized records.
Repeat the review after owners resolve source gaps.

What it returns

findings.csv
human-review-queue.csv
interview-coverage.csv
manifest.json
report.md
summary.json

A representative input and result

fixture-backed sample

input {
  "as_of": "2026-09-09T12:00:00Z",
  "rubric_approved": true,
  "skills": [
    {
      "id": "s1"
    },
    {
      "id": "s2"
    }
  ],
  "required_scorecard_fields": [
    "conclusion",
    "evidence"
  ],
  "interviews": [
    {
      "id": "i1",
      "interviewer": "reviewer-1",
      "skill_ids": [
        "s1"
      ],
      "questions": [
        "Describe a support triage example.",
        " Describe a support triage example. "
      ],
      "feedback_due_at": "2026-09-08T12:00:00Z",
      "submitted_at": null,
      "discussion_at": "2026-09-09T12:00:00Z",
      "scorecard": {
        "conclusion": "Seems excellent"
      }
    }
  ]
}

result # Interview process consistency

REVIEW — HUMAN REVIEW REQUIRED

Supplied records only; human review required. Not an employment decision.

- CONCLUSION_WITHOUT_EVIDENCE [i1]: Conclusion lacks a source locator; no candidate recommendation made.
- DISCUSSION_BEFORE_SCORING [i1]: Discussion precedes submitted independent scoring; review sequence.
- LATE_FEEDBACK [i1]: Feedback deadline exceeded.
- REPEATED_QUESTION [i1]: Exact normalized repeat of question in i1
- SCORECARD_FIELD_MISSING [i1]: Missing evidence
- UNSUBMITTED_EVALUATION [i1]: Feedback not submitted in supplied records.
- UNCOVERED_COMPETENCY [s2]: No interview covers approved competency.

Access and approval boundaries

Read one local input JSON file.
Write a new local output directory; no network or external actions.

Known limitations

Repeated-question detection is exact after case and whitespace normalization.
Timestamp order does not prove feedback contamination or unlawful bias.
The helper audits the process, never ranks candidates or recommends hire/no-hire.

Questions

What do I receive?

A downloadable skill with a local Python helper, input contract, synthetic fixtures, tests and sample reports.

What do I need to run it?

Python 3.10 or newer and your authorized normalized JSON records. The helper uses the standard library; Windows CLI execution was tested.

Does it connect to my HR software?

No. You supply a local export normalized to the documented schema. There is no ATS or HRIS integration.

Can it make decisions or contact people?

No. It produces local reports for human review. It never ranks applicants, sends messages or changes accounts.

What does READY mean?

No encoded finding in the supplied scope. It does not prove source truth, comprehensive readiness, legal compliance or approval to act.

What are the main limits?

Repeated-question detection is exact after case and whitespace normalization.

Where does my data go?

Processing location depends on your access route. A downloaded Python helper runs where you execute it; an agent-hosted run uses that host’s environment and privacy settings. Start with fictional data and authorize any processing of real personal or workplace information.