Description
A local issue-spotting and readiness workbench for NIW, EB-1A, O-1A, and employment-based I-485 screening. Organize supporting and contrary evidence criterion by criterion, scaffold a case folder, and compare citation and publication counts against bundled aggregate approved-case percentile bands. This is a preparation aid for discussion with qualified counsel, not a filing service.
immigrationevidence-organizationcase-readiness
What you get
- Access to the packaged Skill, source scripts, and included reference material.
Supported agents
Supported agentCodexSupported agentClaude Code
Usage and examples
- Select the case category and record the known facts.
- Map supporting and contrary evidence to the relevant criteria.
- Run the optional approved-case percentile comparison.
- Review missing evidence and open questions with qualified counsel.
Organize an NIW Stage-1 evidence review for a synthetic researcher profile with 140 citations and 12 publications.
A local case scaffold, criterion-level evidence checklist, open questions, and citation/publication percentile bands.
Requirements and limitations
- An agent that can read and write local files
- Python 3 for the optional percentile script
- Only provide personal case data you are authorized to process
- Not legal advice, an eligibility determination, or an approval prediction.
- Approved-case percentile data are survivor-biased and are not approval probabilities.
- Does not draft petitions, fill forms, or prepare a filing package.
- Local percentile smoke test passed; no real applicant case or filing was performed.
Onchain Identity
Skill ID21Genesis Creator0x98F335EC551d3Ef88129FA0e6FA3f67A0D16CDc6Current Owner0x98F335EC551d3Ef88129FA0e6FA3f67A0D16CDc6Beneficiary0x98F335EC551d3Ef88129FA0e6FA3f67A0D16CDc6ERC-2981 royalty0%
Public Metadata
The publisher has not published this metadata publicly.
v1 · Initial Finch release; upstream MIT license retained.
Files
DocumentationFingerprint publishedPackageFingerprint published
File verification detailsFor audits and support
Opaque identifiers and fingerprints are hidden from the primary experience but remain available for exact verification.
- Markdown hash
0x9a0edec78af94b0388e4d72a697f958f1400a6764fea3e713a736d795fa0f791- Package hash
0x7b86dd884d826e410b7af65cf365a70490dd5db190baffc33ff8cba60ca869c6