Aumai Transparency
B+ 89 completed
Ai Ml
cli / python · tiny
22
Files
1,392
LOC
1
Frameworks
4
Languages
Pipeline State
completedRun ID
#304058Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
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Stage
SkippedDecision
skip_scaffold_dupNovelty
41.97Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47628
Member of a group with 1 similar repo(s) — canonical #27307 view group →
Top concepts (4)
Project DescriptiontestingTestingTesting
Open data scored by Repobility · https://repobility.com
🧪 Code Distillation
Browse all specs →Sample distilled functions (click for full spec)
_build_explanation_textConstructs a multi-part, natural-language string explaining an agent's decision. It accepts a list of audit events, the final decision string, and a list of contributing factors as inputs. The function outputs a formatted string detailing the decision, listing the provided factors, and summarizing t
_trail_to_textFormats an AuditTrail object into a comprehensive, multi-section string representation. It accepts one argument, an AuditTrail object, and returns a single string containing all the audit details. The function constructs a header summarizing the agent, IDs, and timeframes, followed by iterating thro
_summarizeGenerates a concise string summary of the provided dictionary data, optionally truncating it to a specified maximum length. It accepts a dictionary as the primary input and an integer for the maximum length, defaulting to 200 characters. The function returns a string representation of the data, eith
AI Prompt
Build me a command-line interface (CLI) tool in Python that generates an audit trail and explanation for agent decisions. I need the core functionality implemented, and I should be able to follow the setup using the provided documentation structure. Please ensure the project structure supports testing using pytest and includes necessary configuration files like pyproject.toml.
python cli agent ai audit-trail pytest tooling
Generated by gemma4:latest
Catalog Information
This project provides an audit trail and explanation generation system for agent decisions.
Description
Aumai-Transparency is a tool that generates an audit trail and explanations for agent decisions. It helps to increase transparency in decision-making processes by providing a clear record of actions taken and the reasoning behind them. This can be particularly useful in applications where accountability and explainability are crucial, such as in finance or healthcare.
الوصف
هذا المشروع يقدم نظام لتوليد سجل مراقبة وشرح لقرارات एजنت. يساعد في زيادة شفافية عملية اتخاذ القرار عن طريق تقديم سجل واضح للآثار المترتبة على ذلك. يمكن أن يكون هذا مفيدًا بشكل خاص في التطبيقات التي تتطلب المسؤولية والشرح، مثل المالية أو الرعاية الصحية.
Novelty
7/10Tags
audit-trail explanation-generation agent-decisions transparency accountability explainability
Technologies
click pydantic
Claude Models
claude-opus-4.6
Quality Score
B+
89.0/100
Structure
93
Code Quality
90
Documentation
85
Testing
85
Practices
83
Security
100
Dependencies
90
Strengths
- CI/CD pipeline configured (github_actions)
- Good test coverage (60% test-to-source ratio)
- Code linting configured (ruff (possible))
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
- Properly licensed project
Security & Health
4.1h
Tech Debt (D)
Medium
DORA Rating
A
OWASP (100%)
Same scanner, your repo: https://repobility.com — Repobility
PASS
Quality Gate
A
Risk (7)
Apache-2.0
License
0.0%
Duplication
Languages
Frameworks
pytest
Symbols
variable20
function10
method9
class5
Concepts (4)
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| auto_description | Project Description | > Audit trail and explanation generation for agent decisions | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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