{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-dinodanic--diny","slug":"dinodanic--diny","name":"diny","type":"workflow","url":"https://diny.run","page_url":"https://unfragile.ai/dinodanic--diny","categories":["automation"],"tags":["ai-tool","automation","cli","cobra-cli","commit","commit-message","developer-tools","generated","git","git-commit-messages","git-diff","go","messages","ollama","opensource","plug-and-play"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-dinodanic--diny__cap_0","uri":"capability://automation.workflow.staged.diff.aware.commit.message.generation","name":"staged-diff-aware commit message generation","description":"Analyzes git staged changes via `git diff --cached` output, filters out noise (lockfiles, binaries, artifacts) using configurable exclusion patterns, and sends the cleaned diff to either a hosted Groq API endpoint or local Ollama instance to generate semantically meaningful commit messages. The tool maintains zero-configuration defaults while allowing customization of tone, length, format, and emoji usage through a YAML-based config system.","intents":["Generate a commit message automatically from my staged changes without typing it manually","Get AI-powered commit messages that follow conventional commit format without API key setup","Filter out noisy files (node_modules, lock files, binaries) from the diff before AI processing","Customize commit message tone and format to match team conventions"],"best_for":["Solo developers and small teams wanting frictionless commit workflows","Teams adopting conventional commits who want automated enforcement","Developers working in privacy-sensitive environments (Ollama local option)"],"limitations":["Requires internet connection for default Groq backend (no offline-first option without Ollama setup)","Diff context is limited by what `git diff --cached` returns; very large changesets may be truncated by API payload limits","No built-in support for multi-repository atomic commits or cross-repo change correlation","Hosted Groq endpoint availability is a single point of failure for default configuration"],"requires":["Git 2.x or higher with staged changes present","Internet connection for Groq API calls (or local Ollama instance for offline mode)","Terminal with ANSI color support (macOS Terminal, iTerm2, Windows Terminal, or equivalent)","diny binary installed via package manager or manual download"],"input_types":["git diff output (text)","YAML configuration file (user preferences)","staged file paths and content"],"output_types":["plain text commit message","conventional commit formatted message","emoji-prefixed message (optional)"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-dinodanic--diny__cap_1","uri":"capability://automation.workflow.interactive.commit.workflow.with.regeneration.and.editing","name":"interactive commit workflow with regeneration and editing","description":"Presents generated commit messages in an interactive terminal UI where users can accept, regenerate with different parameters, or manually edit the message before committing. Uses Cobra CLI framework for command routing and a custom UI layer (ui/ package) for theme-aware terminal rendering, allowing users to iterate on AI-generated suggestions without leaving the CLI.","intents":["Review an AI-generated commit message and regenerate it if unsatisfied","Edit a generated message inline before committing without opening an editor","See multiple commit message suggestions and pick the best one","Apply custom themes to the commit workflow UI for better readability"],"best_for":["Developers who want AI assistance but need final approval control","Teams with strict commit message standards who want to validate before pushing","Users in environments where external editors are unavailable or slow"],"limitations":["Interactive UI requires terminal support for ANSI escape sequences; limited functionality on Windows without Windows Terminal or equivalent","Regeneration calls incur additional API latency (~1-2 seconds per request to Groq)","No batch regeneration mode for generating multiple message variants in parallel","Manual editing is basic text input; no syntax highlighting or validation feedback during edit"],"requires":["ANSI-compatible terminal emulator","Interactive stdin/stdout (not suitable for non-interactive CI/CD pipelines)","diny binary with UI package compiled"],"input_types":["user keyboard input (accept/regenerate/edit commands)","AI-generated commit message text"],"output_types":["final commit message (text)","git commit command execution"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-dinodanic--diny__cap_10","uri":"capability://data.processing.analysis.noise.filtering.in.git.diffs.before.ai.processing","name":"noise filtering in git diffs before ai processing","description":"Filters out non-essential files (lockfiles, binaries, artifacts, node_modules) from git diffs before sending to AI backends, reducing token usage and improving message relevance. The commit/ package applies configurable exclusion patterns to the diff output, removing lines matching patterns like *.lock, *.bin, dist/, build/, etc. Filtered diffs are smaller and focus AI attention on meaningful changes.","intents":["Reduce AI token usage by filtering out noisy files from diffs","Improve commit message quality by focusing AI on meaningful changes","Exclude generated or dependency files from AI analysis","Customize noise filtering patterns per project"],"best_for":["Projects with large dependency trees (node_modules, vendor/) that generate noisy diffs","Teams with strict token budgets for AI API calls","Developers who want AI to focus on business logic changes, not dependency updates"],"limitations":["Filtering is applied before AI processing; no way to include filtered files in specific commits","Exclusion patterns are global; no per-commit or per-file filtering","Overly aggressive filtering may remove important context (e.g., filtering all .json files removes package.json changes)","Filtering adds ~50-100ms latency per commit due to regex matching","No built-in patterns for all languages; users must configure patterns for their tech stack"],"requires":["Configuration with exclusion patterns (YAML)","git diff output"],"input_types":["git diff text"],"output_types":["filtered git diff text"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-dinodanic--diny__cap_11","uri":"capability://automation.workflow.non.interactive.batch.commit.message.generation","name":"non-interactive batch commit message generation","description":"Supports non-interactive mode (via --accept flag or environment variables) for automated commit message generation in CI/CD pipelines and scripts. In non-interactive mode, diny generates a message, skips the interactive approval step, and directly commits without user input. This enables integration into automated workflows, pre-commit hooks, and CI/CD systems that cannot interact with the terminal.","intents":["Generate and commit messages automatically in CI/CD pipelines without user interaction","Integrate diny into pre-commit hooks for automatic commit message generation","Batch-process multiple commits with AI-generated messages","Automate commit workflows in scripts and automation tools"],"best_for":["CI/CD pipelines that need automated commit message generation","Pre-commit hook integrations","Automated testing and release workflows","Scripts that need to commit changes without user interaction"],"limitations":["Non-interactive mode skips user approval; generated messages are committed without review","No regeneration capability in non-interactive mode; first generated message is used","Error handling is limited; failures are logged but don't block pipeline execution","No feedback on message quality; users cannot see what was committed until after the fact","Requires careful configuration to avoid committing low-quality messages"],"requires":["--accept flag or DINY_AUTO_COMMIT environment variable set","Git configured with user.name and user.email for automated commits","Staged changes present"],"input_types":["git diff output","command-line flags or environment variables"],"output_types":["git commit execution","commit message text"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-dinodanic--diny__cap_2","uri":"capability://tool.use.integration.multi.provider.ai.backend.abstraction.with.groq.and.ollama","name":"multi-provider ai backend abstraction with groq and ollama","description":"Abstracts AI service calls behind a provider interface supporting both Groq (cloud-hosted, free default endpoint) and Ollama (local/self-hosted). The infrastructure layer (groq/ and ollama/ packages) handles provider-specific API contracts, request formatting, and response parsing, allowing users to switch backends via configuration without code changes. Groq backend uses a hosted endpoint at diny-cli.vercel.app/api/v2/commit; Ollama requires local server setup.","intents":["Use a free cloud AI service (Groq) without managing API keys or billing","Switch to a local Ollama instance for air-gapped or privacy-critical environments","Customize AI model selection and parameters (temperature, max tokens) per backend","Maintain consistent commit message generation quality across different AI providers"],"best_for":["Teams with varying privacy/compliance requirements (cloud vs local)","Developers building on diny who want to add custom AI providers","Organizations with existing Ollama infrastructure who want to integrate diny"],"limitations":["Groq backend is a single hosted endpoint; no multi-region failover or load balancing","Ollama requires manual server setup and maintenance; no built-in orchestration or health checks","Provider abstraction adds ~50-100ms latency per request due to HTTP round-trip overhead","No automatic provider fallback if primary backend is unavailable; requires manual reconfiguration","Ollama backend requires sufficient local compute; model selection affects response latency (5-30s depending on model size)"],"requires":["For Groq: Internet connection to diny-cli.vercel.app","For Ollama: Local Ollama server running (ollama serve) on default or custom port","Configuration file specifying provider and endpoint (auto-detected or manual setup)"],"input_types":["git diff text","provider configuration (YAML)","custom AI instructions (optional)"],"output_types":["commit message text","provider response metadata (model used, tokens consumed)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-dinodanic--diny__cap_3","uri":"capability://automation.workflow.configuration.system.with.yaml.based.preferences.and.auto.recovery","name":"configuration system with yaml-based preferences and auto-recovery","description":"Manages user preferences (tone, length, format, emoji usage, AI provider, theme) via a YAML configuration file with embedded defaults and automatic recovery from corruption. The config/ package implements LoadOrRecover() which validates config on startup, backs up corrupt files, and restores defaults, ensuring the tool never fails due to configuration issues. Users customize via `diny config` command without manual file editing.","intents":["Set commit message tone (formal, casual, technical) once and apply to all future commits","Configure emoji usage, message length limits, and conventional commit format preferences","Switch between AI providers (Groq vs Ollama) without command-line flags","Recover from corrupted configuration without manual intervention"],"best_for":["Teams with standardized commit message conventions","Individual developers who want to set preferences once and forget","Organizations deploying diny across multiple machines via config templates"],"limitations":["Configuration is per-machine; no built-in sync across multiple devices or team members","YAML syntax errors in manual edits are caught at startup but provide minimal error context","No validation of custom AI instructions; invalid prompts fail silently at generation time","Configuration changes require CLI restart; no hot-reload capability","No built-in configuration versioning or rollback mechanism"],"requires":["Write access to user home directory (~/.config/diny/ or equivalent platform-specific location)","YAML parser support (built into diny binary)","diny config command available"],"input_types":["YAML configuration file","user input via `diny config` interactive prompts"],"output_types":["YAML configuration file (persisted)","configuration validation status"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-dinodanic--diny__cap_4","uri":"capability://code.generation.editing.conventional.commits.and.emoji.format.support","name":"conventional commits and emoji format support","description":"Generates commit messages conforming to Conventional Commits specification (feat:, fix:, docs:, etc.) with optional emoji prefixes based on user configuration. The commit/ package applies format rules during message generation by including format preferences in the AI prompt, and validates output against the configured format before presenting to the user. Supports both strict conventional format and relaxed variants with emoji.","intents":["Generate commit messages that automatically follow conventional commits format","Add emoji prefixes to commit messages for better visual scanning in git logs","Enforce team commit message standards (e.g., require feat: prefix for features)","Parse and validate AI-generated messages against format rules before committing"],"best_for":["Teams using semantic versioning and automated changelog generation","Projects with strict commit message linting (commitlint, husky)","Developers who want visual commit history organization via emoji"],"limitations":["Format validation is post-generation; invalid messages require regeneration rather than auto-correction","Emoji support is cosmetic; no semantic meaning or parsing of emoji in downstream tools","Custom format templates are not supported; only predefined conventional commits variants","Format enforcement relies on AI prompt adherence; no guarantee of 100% compliance without regeneration"],"requires":["Configuration specifying format preference (conventional, emoji, or custom variant)","AI backend capable of following format instructions in prompts"],"input_types":["git diff text","format configuration (YAML)"],"output_types":["conventional commit formatted message (e.g., 'feat: add user authentication')","emoji-prefixed message (e.g., '✨ feat: add user authentication')"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-dinodanic--diny__cap_5","uri":"capability://tool.use.integration.git.ecosystem.integration.with.aliases.and.lazygit.support","name":"git ecosystem integration with aliases and lazygit support","description":"Integrates with Git workflows via command aliases (diny auto, diny link) and LazyGit integration, allowing users to invoke diny from within LazyGit's commit interface or via git aliases. The auto/ and link/ packages implement Git hook patterns and alias registration, enabling diny to be invoked as `git commit` replacement or within existing Git tools without context switching.","intents":["Use diny as a drop-in replacement for `git commit` via git alias","Generate commit messages directly from LazyGit without switching to terminal","Integrate diny into existing Git workflows without changing muscle memory","Automate commit message generation in CI/CD pipelines via git hooks"],"best_for":["Developers using LazyGit as their primary Git UI","Teams with existing git alias conventions who want to extend them","CI/CD pipelines that need automated commit message generation"],"limitations":["Git alias integration requires manual setup (diny link command); no automatic detection of existing aliases","LazyGit integration is read-only; diny cannot directly invoke LazyGit commands or access its state","Alias-based invocation bypasses interactive UI; requires --accept flag or non-interactive mode","No built-in support for Git hooks (pre-commit, prepare-commit-msg); requires manual hook configuration","Cross-platform alias compatibility varies; Windows Git Bash aliases differ from Unix shell aliases"],"requires":["Git 2.x with alias support","LazyGit installed (for LazyGit integration)","Shell with alias support (bash, zsh, fish, etc.)","diny link command executed to register aliases"],"input_types":["git staged changes","LazyGit commit interface input"],"output_types":["git commit execution","commit message text"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-dinodanic--diny__cap_6","uri":"capability://automation.workflow.self.updating.binary.with.package.manager.support","name":"self-updating binary with package manager support","description":"Implements automatic binary updates via `diny update` command and package manager integration (Homebrew, etc.), allowing users to keep diny current without manual downloads. The update/ package checks for new releases, downloads binaries, and replaces the current executable, with rollback capability if updates fail. Supports multiple installation methods (package managers, manual downloads) with consistent update paths.","intents":["Update diny to the latest version without manual download and installation","Receive bug fixes and new features automatically via package managers","Rollback to a previous version if an update introduces issues","Check for available updates without installing"],"best_for":["Individual developers who want hands-off updates","Teams deploying diny across multiple machines via package managers","Users in environments where manual binary management is cumbersome"],"limitations":["Self-update requires write access to the diny binary location; fails in read-only installations","Update checks require internet connection; no offline update capability","Rollback is manual (requires keeping previous binary); no automatic version history","Package manager updates are asynchronous; diny update command may lag behind package manager releases","No staged rollout or beta channel support; all users get the same release version"],"requires":["Internet connection for update checks and downloads","Write access to diny binary location","diny update command available"],"input_types":["user command (diny update)"],"output_types":["updated diny binary","update status/logs"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-dinodanic--diny__cap_7","uri":"capability://text.generation.language.custom.ai.instructions.and.prompt.customization","name":"custom ai instructions and prompt customization","description":"Allows users to inject custom instructions into AI prompts via configuration, enabling fine-tuning of commit message generation without modifying diny code. Custom instructions are appended to the base prompt sent to Groq or Ollama, allowing users to specify tone, style, additional context, or domain-specific conventions. Instructions are stored in YAML configuration and applied to every generation request.","intents":["Add team-specific commit message conventions to AI generation without code changes","Customize AI tone and style to match team preferences (e.g., 'be concise and technical')","Include domain-specific context (e.g., 'this is a microservices project') to improve message relevance","Override default AI behavior for specific use cases"],"best_for":["Teams with specific commit message conventions not covered by conventional commits","Projects with domain-specific terminology that AI should understand","Developers who want to experiment with prompt engineering without forking diny"],"limitations":["Custom instructions are applied to all commits; no per-commit or per-file customization","Invalid or contradictory instructions may degrade AI output quality; no validation or feedback","Instructions are sent to AI backend with every request, adding token overhead (~50-200 tokens per request)","No instruction versioning or rollback; changes apply immediately to all future commits","Instruction effectiveness depends on AI model capability; smaller models (Ollama) may ignore complex instructions"],"requires":["Configuration file with custom_instructions field","diny config command to edit instructions"],"input_types":["plain text custom instructions (YAML string)"],"output_types":["modified AI prompt (internal)","commit message reflecting custom instructions"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-dinodanic--diny__cap_8","uri":"capability://automation.workflow.timeline.visualization.of.recent.commits","name":"timeline visualization of recent commits","description":"Provides a `diny timeline` command that displays recent commits in a formatted, theme-aware terminal view, allowing users to review commit history without switching to git log. The timeline/ package retrieves commits via git log, formats them with theme colors and emoji, and renders them in the terminal. Useful for reviewing generated commits and understanding commit patterns.","intents":["View recent commits in a formatted timeline without using git log","Review commit messages generated by diny to understand patterns","See commit history with theme-aware colors and emoji for better readability","Quickly check if a commit was created successfully"],"best_for":["Developers who prefer CLI-based commit history review","Teams using diny who want to audit generated commit messages","Users who want a more readable alternative to git log"],"limitations":["Timeline is read-only; no ability to edit or delete commits from timeline view","Limited filtering options; no branch-specific or date-range filtering","Rendering is terminal-only; no export to file or other formats","Performance degrades with large commit histories (100+ commits)","Theme colors may not render correctly on terminals with limited color support"],"requires":["Git repository with commit history","ANSI-compatible terminal for color rendering","diny timeline command available"],"input_types":["git log output"],"output_types":["formatted timeline display (terminal)"],"categories":["automation-workflow","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-dinodanic--diny__cap_9","uri":"capability://automation.workflow.theme.system.with.customizable.terminal.colors.and.styles","name":"theme system with customizable terminal colors and styles","description":"Implements a pluggable theme system (ui/ package) that applies consistent colors, styles, and emoji to all terminal output (commit messages, timeline, interactive prompts). Users select themes via `diny theme` command, and the ui.SetTheme() function applies the selected theme to all subsequent rendering. Themes are defined as color mappings and emoji sets, allowing customization without code changes.","intents":["Customize terminal colors to match personal preferences or team branding","Apply consistent styling across all diny CLI output","Select emoji variants for commit messages and timeline display","Switch themes without restarting diny"],"best_for":["Developers who spend significant time in the terminal and want visual consistency","Teams with branding guidelines who want diny output to match","Users with accessibility needs (high contrast, colorblind-friendly themes)"],"limitations":["Theme support depends on terminal color capability; 256-color and true-color terminals render differently","Custom theme creation requires YAML editing; no built-in theme editor","Theme changes require CLI restart; no hot-reload capability","Limited theme options; no built-in library of community themes","Emoji rendering depends on terminal font; some emoji may not display correctly on all systems"],"requires":["ANSI-compatible terminal with color support","diny theme command available","Theme configuration file (YAML)"],"input_types":["theme selection (user input)","theme configuration (YAML)"],"output_types":["themed terminal output (colors, emoji, styles)"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":31,"verified":false,"data_access_risk":"high","permissions":["Git 2.x or higher with staged changes present","Internet connection for Groq API calls (or local Ollama instance for offline mode)","Terminal with ANSI color support (macOS Terminal, iTerm2, Windows Terminal, or equivalent)","diny binary installed via package manager or manual download","ANSI-compatible terminal emulator","Interactive stdin/stdout (not suitable for non-interactive CI/CD pipelines)","diny binary with UI package compiled","Configuration with exclusion patterns (YAML)","git diff output","--accept flag or DINY_AUTO_COMMIT environment variable set"],"failure_modes":["Requires internet connection for default Groq backend (no offline-first option without Ollama setup)","Diff context is limited by what `git diff --cached` returns; very large changesets may be truncated by API payload limits","No built-in support for multi-repository atomic commits or cross-repo change correlation","Hosted Groq endpoint availability is a single point of failure for default configuration","Interactive UI requires terminal support for ANSI escape sequences; limited functionality on Windows without Windows Terminal or equivalent","Regeneration calls incur additional API latency (~1-2 seconds per request to Groq)","No batch regeneration mode for generating multiple message variants in parallel","Manual editing is basic text input; no syntax highlighting or validation feedback during edit","Filtering is applied before AI processing; no way to include filtered files in specific commits","Exclusion patterns are global; no per-commit or per-file filtering","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.1267028028795625,"quality":0.34,"ecosystem":0.6000000000000001,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.2,"quality":0.25,"ecosystem":0.1,"match_graph":0.4,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:21.550Z","last_scraped_at":"2026-05-03T13:57:13.678Z","last_commit":"2026-04-20T18:30:43Z"},"community":{"stars":123,"forks":8,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=dinodanic--diny","compare_url":"https://unfragile.ai/compare?artifact=dinodanic--diny"}},"signature":"OTeP4i8V2D/cfTJ9CzOBB3lESliD7+/7PiWLzfChLrDWltvzPEJpuaMOwA8A+WTPbQRC1KcpXqCLvw7Du7lFCg==","signedAt":"2026-06-21T07:45:44.876Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/dinodanic--diny","artifact":"https://unfragile.ai/dinodanic--diny","verify":"https://unfragile.ai/api/v1/verify?slug=dinodanic--diny","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}