Help Wanted

AI Summary: The `sync/tests.py` file has grown to over 2,000 lines, making it difficult to manage and navigate. This issue proposes refactoring the file by splitting its contents into several smaller, more focused test files. The goal is to improve the overall organization and maintainability of the test suite.

AI Summary: This GitHub issue addresses several problems within the Controls screen, primarily concerning gesture and key binding functionality. Key bugs include a dialog failing to appear for 'show answer' actions after switching tabs, and a flawed logic for overriding existing gesture assignments, which should enforce a one-to-one mapping between gestures and actions. Additionally, some dialog titles, such as those for flag toggles and 'Previous', need to be increased in size for better consistency.

AI Summary: This GitHub issue offers a bounty of 5 RTC to the person who becomes the 100th follower of the @Scottcjn GitHub profile. Currently, the profile has 97 followers. To claim the reward, users must follow the profile and then comment on the issue with their GitHub username and RTC wallet address.

AI Summary: An `System.InvalidOperationException` occurs because a `Style` with `TargetType='ContentControl'` is being applied to an element of type `DataGridColumnFloatingHeader`. This type mismatch prevents the style from being applied correctly, leading to an application crash. The issue points to an incorrect style definition or application for `DataGridColumnFloatingHeader` elements.

AI Summary: The issue proposes implementing a `NodeEvaluator` protocol within `GraphExecutor.execute()` to enable multi-dimensional, execution-time evaluation for every node. This would generate a structured `EvalReport` containing metrics like faithfulness and cost efficiency, building upon existing `DecisionEvaluation` infrastructure and extending beyond the current binary `LLMJudge`. The goal is to integrate this new evaluation system without introducing any breaking changes.

AI Summary: This GitHub issue identifies a user experience problem where users attempting to mint more than 50 NFTs in a single transaction are silently blocked by a hardcoded limit, leading to confusion. The proposed solution focuses on improving clarity by displaying a visible warning or implementing real-time validation within the minting modal, informing users of the limit before they submit the transaction.

AI Summary: The coverage badge displayed on PyPI is a broken link. This issue arises because the badge uses a relative URL, which functions correctly on GitHub but fails to resolve when rendered on PyPI, leading to a broken image.

AI Summary: This issue proposes the implementation of a real-time monitoring dashboard for agent execution. Currently, users lack visibility into agent activity, forcing them to rely on less efficient methods like terminal logs. The solution involves building a backend service to aggregate metrics from an EventBus and expose them through new API endpoints, which will then be visualized on a frontend dashboard at /monitor.

AI Summary: The agent currently launches long-running workflows without validating user intent or execution feasibility, leading to wasted time and resources on incorrect or impossible tasks. The proposed solution is to implement a disambiguation step for ambiguous intents and a feasibility check for available tools and resources before committing to execution.

AI Summary: This issue proposes the development of a Contributor Onboarding Agent within the Hive platform. The agent aims to streamline the onboarding process for new contributors by assessing their skill level and goals, suggesting relevant code files, and recommending suitable 'good first issues'. The MVP will focus on these three core functionalities.

AI Summary: This GitHub issue reports compatibility problems with Python 3.14, where the application fails to run with a traceback during installation via `pipx` or when building from source, while Python 3.13 works correctly. The project lacks specific version pinning in its dependencies, and there are also reported coordinate offset issues in multi-monitor environments.

AI Summary: A bug report indicates that the `queen_memory.py` script crashes on Windows when a session ends. This is due to the use of the unsupported `%-d` strftime format directive on Windows, which causes a `ValueError`. The proposed fix involves replacing the problematic line with a cross-platform compatible string concatenation.

AI Summary: The issue reports that several references in the KiloCode repository point to a non-existent `kilo.ai/config.json` URL. The reporter suggests that the correct URL should be `app.kilo.ai/config.json`, which is already used more frequently. This appears to be a simple URL correction needed in the codebase.

AI Summary: This issue requests several UI improvements for AnkiDroid's custom sync server and directory selection dialogs. The changes include capitalizing "URL", adding borders to input fields, increasing the title font size of one dialog, and renaming the "OK" button to "Save".

AI Summary: The `checkSafariMagicBytes` function currently reads the entire cookie file into memory to check for a 4-byte magic signature. This is inefficient as only the first 4 bytes are needed. The recommended solution is to use `fs.openSync` and `fs.readSync` to read only the necessary 4 bytes, significantly reducing I/O costs.

AI Summary: This issue proposes the creation of a new database model named `Container` to store information about supported container types. The model will include fields for extension, asset type, number supported, and codec. This task is dependent on the prior completion of issue #1420, which involves adding asset types to `choices.py`.

AI Summary: This issue proposes the creation of a new database model to store information about supported codecs. This task is dependent on the prior addition of asset types to `choices.py` and is labeled as a 'good first issue'.

AI Summary: This issue requests the addition of four new asset types ('audio', 'subtitle', 'thumbnail', 'video') to the `choices.py` file in the tubesync project. The goal is to centralize and manage different asset types within the application's configuration.

AI Summary: This issue proposes designing a generic model architecture to handle various media assets (video, audio, subtitles, thumbnails) for expanding site support. The goal is to create a flexible system that can accommodate different formats, languages, and embedding options for these assets, while also considering how to select and compose them through reusable profiles.

AI Summary: This issue highlights that a significant number of tools (~43) within the project are missing README.md documentation. This lack of documentation hinders understanding of tool capabilities, usage, and credential requirements for both contributors and users. The issue suggests a standardized format for these READMEs and proposes splitting the work into smaller batches for easier review.

AI Summary: This bug report identifies that several `print()` statements in `runner/runner.py` are used for warning messages about missing API keys and authentication tokens. These should be replaced with `logger.warning()` calls to ensure they are properly captured by the logging framework and visible in log files, especially when the agent runs headlessly or its output is redirected.