Best fit
Audit interview coverage, repeated questions, scorecard gaps and feedback timing against a supplied approved rubric without ranking candidates.
// HR & Recruiting
Interview Loop Consistency Auditor
Audit interview coverage, repeated questions, scorecard gaps and feedback timing against a supplied approved rubric without ranking candidates.
Format: Downloadable agent skill, not a browser app. You need an AI agent that can load its instructions and use the required tools.
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 download options at the linked marketplace. Buying a skill does not include an AI-agent subscription or setup service.
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
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?
The Python helper stays local. Your agent host may separately process prompts; use synthetic data unless the owner authorizes sensitive data processing.
Interview Loop Consistency Auditor keeps proof and approval boundaries visible.
The listing includes the tested package, realistic samples, declared permissions, and known limitations.
Available on Agensi for $19, one-time purchase.
Get it on Agensi — $19// choose with context
Is Interview Loop Consistency Auditor the right skill?
It returns
Interview coverage, repeated-question and scorecard findings, plus a human-review queue.
Do not use it as
Ranking candidates, recommending hire/no-hire or proving unlawful bias.
Compatibility, access, version, and licence
- Reads or accesses
- Read one local input JSON file. Write a new local output directory; no network or external actions.
- Compatibility
- Python CLI on Windows tested; standard-library Python 3.10+ source. Agent-host installation not independently tested.
- Version
- 1.0.0
- Licence
- JustHandled Labs paid skill license; included LICENSE.txt governs