automatic-stay-issue-spotter

Solid

Use when issue-spotting automatic stay concerns from user-provided facts into a source-cited stay-risk fact map for attorney review, without concluding whether the stay applies.

AI & Automation 15 stars 3 forks Updated 4 days ago MIT

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Quality Score: 81/100

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Skill Content

# Automatic Stay Issue Spotter ## Purpose Issue-spot automatic stay concerns from user-provided facts into a source-cited stay-risk fact map and action inventory, with escalation flags and verification questions, so a qualified attorney can evaluate the automatic stay. This skill spots issues and organizes facts; it never concludes whether the stay applies or whether an action is permitted. It produces draft legal work product for attorney review — not legal advice. ## Use When - A party needs the automatic stay concerns around an action, communication, or proceeding spotted and organized for an attorney. - A creditor, lender, landlord, or counterparty is unsure whether a step is affected by a bankruptcy filing and needs the facts mapped. - Post-petition activity must be inventoried before an attorney evaluates stay exposure. ## Required Inputs - Debtor identity, the user's party role, and case status. - Petition date if provided, echoed and marked `[deadline verification required]`. - The specific actions, communications, or proceedings in question — for example collections, litigation, setoff, foreclosure, repossession, contract termination, payment demands, eviction, lien enforcement, regulatory actions if mentioned, and post-petition communications. - The timing of each action relative to the petition date, as the user states it. - Notices received and any responses sent. - Source documents with citations to docket entries, letters, or pages. If the d...

Details

Author
zgbrenner
Repository
zgbrenner/agentcounsel
Created
2 months ago
Last Updated
4 days ago
Language
Python
License
MIT

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