Molequla

C 67 completed
Other
unknown / text · tiny
44
Files
34,885
LOC
0
Frameworks
10
Languages

Pipeline State

completed
Run ID
#1385166
Phase
done
Progress
0%
Started
2026-04-16 04:50:42
Finished
2026-04-16 04:50:42
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
36.00
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47643
Member of a group with 336 similar repo(s) — canonical #188618 view group →
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AI Prompt

Create a simulation of a living ecology involving four autonomous GPT organisms: Earth, Air, Water, and Fire. These organisms should be implemented using Go, C, JavaScript, and Rust, respectively. The core functionality involves them evolving by exchanging generated text (DNA) which feeds into a growing corpus, leading to architectural and textual improvements. The system needs a Python orchestrator, 'mycelium', to manage the process, simulating growth from a 10K parameter embryo stage up to 10M parameters. Include features like DNA exchange, autonomous growth stages, and mechanisms for self-reasoning or identity maintenance.
go c javascript rust python simulation ai evolution ecology nlp text-generation
Generated by gemma4:latest

Catalog Information

Create a simulation of a living ecology involving four autonomous GPT organisms: Earth, Air, Water, and Fire. These organisms should be implemented using Go, C, JavaScript, and Rust, respectively. The core functionality involves them evolving by exchanging generated text (DNA) which feeds into a growing corpus, leading to architectural and textual improvements. The system needs a Python orchestrator, 'mycelium', to manage the process, simulating growth from a 10K parameter embryo stage up to 10M

Tags

go c javascript rust python simulation ai evolution ecology nlp text-generation

Quality Score

C
66.8/100
Structure
59
Code Quality
65
Documentation
62
Testing
70
Practices
60
Security
100
Dependencies
85

Strengths

  • Good test coverage (142% test-to-source ratio)
  • Consistent naming conventions (snake_case)
  • Good security practices — no major issues detected
  • Properly licensed project

Weaknesses

  • No CI/CD configuration — manual testing and deployment
  • 236 duplicate lines detected — consider DRY refactoring
  • 7 'god files' with >500 LOC need decomposition

Recommendations

  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency

Languages

text
20.8%
c
20.8%
python
19.6%
go
16.4%
javascript
10.7%
rust
8.5%
shell
1.7%
markdown
1.4%
html
0.1%
toml
0.1%

Frameworks

None detected

Symbols

function418
method392
variable338
macro88
struct45
class40
constant32
extension16
type_alias13
enum2
interface1

API Endpoints (2)

Scored by Repobility's multi-pass pipeline · https://repobility.com
MethodPathHandlerFramework
Repobility's GitHub App fixes findings like these · https://github.com/apps/repobility-bot
GETelementurlParams.getExpress
GETorganismurlParams.getExpress

Quality Timeline

1 quality score recorded.

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BinComp Dependency Hardening

All packages →
2 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.
Nasyncio4.0.0 · 0 gadgets · risk 0.0Fnumpy2.4.4 · 6,596 gadgets · risk 0.0