Routertl Ip Index

C 65 completed
Other
unknown / yaml · tiny
20
Files
615
LOC
0
Frameworks
4
Languages

Pipeline State

completed
Run ID
#1544324
Phase
done
Progress
0%
Started
2026-04-16 22:39:33
Finished
2026-04-16 22:39:33
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
16.45
Framework unique
Isolation
Last stage change
2026-05-10 03:34:57
Deduplication group #47244
Member of a group with 3,202 similar repo(s) — canonical #1561265 view group →
All rows above produced by Repobility · https://repobility.com

AI Prompt

Create a system for managing and indexing FPGA IP packages for use with the RouteRTL SDK. I need a structure where each package is defined by a YAML descriptor file located in `packages/<namespace>/<name>/<version>.yml`. This descriptor must specify the IP source (using git URL and a pinned SHA or semver tag), the included HDL files, and compatibility metadata like the target library and language (e.g., vhdl or verilog). The system should include a mechanism, likely a Python script, to auto-regenerate a machine-readable `catalog.json` file at the root whenever any package YAML changes. Please also include instructions on how to add a new package and how to run the regeneration process locally.
yaml json python fpga ip-index data-registry hardware build-system automation
Generated by gemma4:latest

Catalog Information

Create a system for managing and indexing FPGA IP packages for use with the RouteRTL SDK. I need a structure where each package is defined by a YAML descriptor file located in packages/<namespace>/<name>/<version>.yml. This descriptor must specify the IP source (using git URL and a pinned SHA or semver tag), the included HDL files, and compatibility metadata like the target library and language (e.g., vhdl or verilog). The system should include a mechanism, likely a Python script, to auto-rege

Tags

yaml json python fpga ip-index data-registry hardware build-system automation

Quality Score

C
65.0/100
Structure
50
Code Quality
95
Documentation
57
Testing
15
Practices
70
Security
100
Dependencies
80

Strengths

  • CI/CD pipeline configured (github_actions)
  • Consistent naming conventions (snake_case)
  • Good security practices — no major issues detected

Weaknesses

  • No LICENSE file — legal ambiguity for contributors
  • No tests found — high risk of regressions

Recommendations

  • Add a test suite — start with critical path integration tests
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Languages

yaml
59.0%
json
23.7%
python
9.0%
markdown
8.3%

Frameworks

None detected

Symbols

constant2
function2

Quality Timeline

1 quality score recorded.

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