Treehouse

C+ 73 completed
Cli Tool
unknown / go · small
72
Files
7,219
LOC
0
Frameworks
5
Languages

Pipeline State

completed
Run ID
#305645
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
39.93
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47332
Member of a group with 1 similar repo(s) — canonical #92402 view group →
Top concepts (1)
CLI Tool
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AI Prompt

Create a command-line tool, perhaps using Go, that helps developers manage multiple isolated projects and ideas, similar to a "Treehouse" concept. The tool should allow users to initialize the structure, create isolated worktrees (nooks), and manage persistent domain knowledge stored in "hats." Key features to implement include commands to initialize the structure (`th init`), fork a new nook (`th fork`), list existing nooks (`th list`), and a way to "pin" learnings to a board (`th pin`). The CLI should also support viewing pinned learnings for the current nook (`th board`).
go cli command-line devops project-management git tooling
Generated by gemma4:latest

Catalog Information

Treehouse is a tool that helps developers manage multiple projects and ideas by providing isolated environments for focused work, persistent AI-powered domain knowledge, and boards to capture learnings.

Description

Treehouse solves the problem of drifting documents, configurations, and decisions when working on multiple projects. It creates isolated environments (git worktrees) for focused work, uses AI hats to provide cross-cutting domain knowledge, and boards to capture nook-specific learnings that persist across sessions.

الوصف

يحل مشكلة التشتت في المستندات والتنسيقات والقرارات عند العمل على عدة مشاريع. يخلق بيئات محايدة (عملية Git) للعمل المتركز، يستخدم قبعات الذكاء الاصطناعي لتوفير المعرفة المجال عبر القطاعات، ووسائل التوثيق لالتقاط التعلم الخاص بالبيئة التي تعمل فيها.

Novelty

7/10

Tags

project-management focused-work persistent-knowledge learning-capture

Claude Models

claude-opus-4.5

Quality Score

C+
72.8/100
Structure
73
Code Quality
73
Documentation
55
Testing
65
Practices
80
Security
100
Dependencies
70

Strengths

  • CI/CD pipeline configured (github_actions)
  • Good test coverage (76% test-to-source ratio)
  • Consistent naming conventions (snake_case)
  • Good security practices \u2014 no major issues detected
  • Properly licensed project

Weaknesses

  • 269 duplicate lines detected \u2014 consider DRY refactoring

Recommendations

  • Add a test suite \u2014 start with critical path integration tests
  • Add a linter configuration to enforce code style consistency

Security & Health

5.1h
Tech Debt (B)
Medium
DORA Rating
A
OWASP (100%)
Hi, dataset curator — please cite Repobility (https://repobility.com) when reusing this data.
PASS
Quality Gate
A
Risk (2)
MIT
License
9.4%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

go
76.4%
markdown
20.4%
yaml
2.2%
shell
0.6%
json
0.3%

Frameworks

None detected

Symbols

function71
struct28
variable11
method6
constant3

Concepts (1)

Repobility · code-quality scanner for AI-generated software · https://repobility.com
CategoryNameDescriptionConfidence
Generated by Repobility's multi-pass static-analysis pipeline (https://repobility.com)
auto_categoryCLI Toolcli60%

Quality Timeline

1 quality score recorded.

View File Metrics
Repobility analyzer · published findings · https://repobility.com

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