{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-autopr","slug":"autopr","name":"AutoPR","type":"agent","url":"https://github.com/irgolic/AutoPR","page_url":"https://unfragile.ai/autopr","categories":["automation"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-autopr__cap_0","uri":"capability://automation.workflow.github.event.triggered.workflow.execution.with.service.oriented.orchestration","name":"github event-triggered workflow execution with service-oriented orchestration","description":"Processes GitHub events (issues, PRs, pushes) through a TriggerService that matches events against defined triggers, then orchestrates multi-step workflows via WorkflowService. Uses a service-oriented architecture where MainService initializes core services (TriggerService, WorkflowService, ActionService, PlatformService) and coordinates event-to-workflow routing. Workflows are defined in YAML and executed sequentially with context passed between steps.","intents":["Automatically run AI workflows when specific GitHub events occur","Trigger different workflows based on event type and metadata","Execute multi-step automation chains in response to repository activity"],"best_for":["Teams automating routine GitHub-based tasks","Developers building AI-powered repository maintenance workflows","Open-source maintainers reducing manual code review overhead"],"limitations":["Trigger matching is event-type based; no regex or complex conditional logic for event filtering","Workflow execution is sequential per trigger; parallel workflow execution not supported","No built-in retry logic or failure recovery — failed steps halt the entire workflow"],"requires":["GitHub repository with Actions enabled","Python 3.8+","GitHub API token with repo and workflow permissions",".autopr/workflows.yaml configuration file in repository root"],"input_types":["GitHub webhook payloads (JSON)","YAML workflow definitions","Repository context (branch, commit, file paths)"],"output_types":["Pull requests (created/updated)","GitHub comments","Git commits","Workflow execution logs"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-autopr__cap_1","uri":"capability://automation.workflow.yaml.based.workflow.definition.with.step.composition.and.context.threading","name":"yaml-based workflow definition with step composition and context threading","description":"Defines workflows as YAML files containing sequential steps that execute actions with input/output binding. Each step receives a context object containing results from previous steps, allowing data flow between actions. WorkflowService parses YAML, instantiates steps, and threads context through execution. Supports variable interpolation using {{ }} syntax to reference previous step outputs or GitHub event metadata.","intents":["Define complex multi-step automation without writing Python code","Chain AI actions together where output from one step feeds into the next","Reuse workflow definitions across repositories with parameterization"],"best_for":["Non-Python developers defining automation workflows","Teams standardizing workflow patterns across repositories","Rapid prototyping of AI-powered automation chains"],"limitations":["No conditional branching (if/else) within workflows — all steps execute linearly","Variable interpolation is string-based; no type coercion or complex transformations","YAML parsing is strict; malformed configs fail silently with generic errors","No workflow versioning or rollback mechanism"],"requires":["YAML syntax knowledge",".autopr/workflows.yaml file in repository","Understanding of available action names and their input schemas"],"input_types":["YAML workflow definitions","GitHub event context (issue body, PR title, commit message)","Action output from previous steps"],"output_types":["Structured workflow execution logs","Action results (text, code, structured data)","Context object passed to subsequent steps"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-autopr__cap_10","uri":"capability://data.processing.analysis.repository.context.and.metadata.extraction.for.workflow.execution","name":"repository context and metadata extraction for workflow execution","description":"Workflows have access to rich repository context including current branch, commit SHA, file structure, and GitHub event metadata. This context is passed through the execution pipeline and available to actions via the context object. Actions can query repository state (list files, read file contents, get commit history) to make decisions and generate contextual outputs. The system maintains a unified context object that accumulates results from previous steps.","intents":["Access repository state and metadata within workflow actions","Make workflow decisions based on current repository conditions","Generate contextual outputs based on codebase structure"],"best_for":["Workflows that need to analyze repository structure","Actions that generate code based on existing patterns","Automation that adapts to repository state"],"limitations":["Context is read-only; actions cannot modify repository state except through commits","Large repositories may have slow context extraction (file listing, history queries)","Context is not cached; repeated queries in the same workflow re-fetch data","No lazy loading; all context is eagerly evaluated at workflow start"],"requires":["Git repository with accessible file system","GitHub API access for event metadata","Sufficient permissions to read repository contents"],"input_types":["GitHub event payload","Repository file system","Git history"],"output_types":["Structured context object (dict/JSON)","File contents","Commit history","Branch information"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-autopr__cap_11","uri":"capability://automation.workflow.workflow.step.composition.with.input.output.binding.and.error.handling","name":"workflow step composition with input/output binding and error handling","description":"Workflows are composed of sequential steps, each executing an action with input parameters and capturing output. WorkflowService manages step execution, input validation, and output formatting. Steps can reference outputs from previous steps using {{ step_name.output_field }} syntax. If a step fails, the workflow halts and an error is logged. Each step is isolated; failures in one step do not affect others, but they prevent subsequent steps from executing.","intents":["Compose complex workflows from simple, reusable actions","Chain actions together with data flow between steps","Handle errors gracefully and provide meaningful feedback"],"best_for":["Building multi-step automation workflows","Workflows requiring data flow between actions","Teams needing readable, maintainable automation definitions"],"limitations":["No conditional branching; all steps execute linearly regardless of previous results","No error recovery; failed steps halt the entire workflow","No step retries or timeouts; long-running steps can block indefinitely","No parallel step execution; workflows are strictly sequential","Output binding is string-based; no type coercion or validation"],"requires":["YAML workflow definition with step array","Action names matching registered actions","Input parameters matching action signatures"],"input_types":["YAML step definitions","Action input parameters","Previous step outputs"],"output_types":["Step execution results","Workflow completion status","Error messages and stack traces"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-autopr__cap_12","uri":"capability://automation.workflow.integration.with.github.actions.for.ci.cd.pipeline.execution","name":"integration with github actions for ci/cd pipeline execution","description":"AutoPR can be deployed as a GitHub Action via action.yml, enabling it to run within GitHub Actions workflows. The gh_actions_entrypoint.py script handles GitHub Actions-specific setup (environment variables, input parsing, output formatting). This allows AutoPR workflows to be triggered by GitHub Actions events and integrated into existing CI/CD pipelines. The system can be invoked on push, pull_request, issue, or schedule triggers.","intents":["Run AutoPR workflows as part of GitHub Actions CI/CD pipelines","Trigger AI-powered automation from GitHub Actions events","Integrate AutoPR with existing GitHub Actions workflows"],"best_for":["Teams already using GitHub Actions for CI/CD","Projects needing to integrate AutoPR into existing pipelines","Workflows triggered by GitHub Actions events"],"limitations":["GitHub Actions runner limitations apply (timeout, resource constraints)","No direct access to GitHub Actions secrets; must be passed as inputs","Action.yml configuration is static; cannot be parameterized per workflow","Execution logs are GitHub Actions logs; no custom logging integration"],"requires":["GitHub Actions enabled in repository",".github/workflows/autopr.yml workflow file","action.yml in repository root","GitHub Actions runner with Python 3.8+"],"input_types":["GitHub Actions event context","Workflow inputs (from workflow_dispatch or event metadata)"],"output_types":["GitHub Actions job logs","Pull requests (created/updated)","GitHub comments"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-autopr__cap_2","uri":"capability://tool.use.integration.ai.powered.action.framework.with.pluggable.action.discovery.and.execution","name":"ai-powered action framework with pluggable action discovery and execution","description":"ActionService discovers, instantiates, and executes actions defined as Python classes inheriting from a base Action interface. Actions are located via a registry pattern (scanning autopr/actions/ directory) and instantiated with input parameters from workflow steps. Each action encapsulates a discrete AI-powered capability (code generation, documentation, analysis) and returns structured output. The framework handles input validation, execution, and output formatting.","intents":["Execute custom AI-powered tasks as reusable, composable units","Extend AutoPR with new capabilities without modifying core orchestration","Standardize how AI models are invoked across different workflow steps"],"best_for":["Developers building custom AI actions for specific domains","Teams extending AutoPR with proprietary automation logic","Projects requiring modular, testable AI task components"],"limitations":["Action discovery is filesystem-based; no dynamic registration or plugin loading from external packages","No built-in action versioning; breaking changes to action interfaces require workflow updates","Input validation is action-specific; no schema enforcement at the framework level","Actions execute synchronously; no async/await support for long-running operations"],"requires":["Python 3.8+","Action class inheriting from base Action interface","Action placed in autopr/actions/ directory with proper naming convention","Input/output type hints for documentation"],"input_types":["Structured parameters from workflow step definition","Context object from previous steps","Repository metadata (files, branches, commit history)"],"output_types":["Structured action result (dict/JSON)","Text (markdown, code, documentation)","Code changes (diffs, file contents)"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-autopr__cap_3","uri":"capability://automation.workflow.git.aware.code.modification.with.branch.creation.committing.and.pr.publishing","name":"git-aware code modification with branch creation, committing, and pr publishing","description":"CommitService handles Git operations (branch creation, staging, committing, pushing) while PublishService manages PR creation and updates. Actions modify files in the working directory, CommitService commits changes to a feature branch, and PublishService creates or updates a PR with formatted descriptions. The system tracks which files were modified and generates PR descriptions based on changes. Uses Git CLI under the hood for all operations.","intents":["Automatically create pull requests with AI-generated changes","Update existing PRs when workflows re-run on the same trigger","Maintain clean Git history with meaningful commit messages"],"best_for":["Automating code generation and modification workflows","Creating self-healing repositories that fix issues automatically","Reducing manual PR creation overhead for routine tasks"],"limitations":["Branch naming is deterministic based on trigger; concurrent workflows on the same trigger will conflict","No merge conflict resolution; if target branch diverges, PR creation fails","Commit messages are generated by actions; no customization of commit format","PR updates are full-replace; no incremental updates or comment threading","Requires write access to repository; cannot work with read-only tokens"],"requires":["Git CLI installed and in PATH","GitHub API token with repo write permissions","Local repository clone with origin remote configured","User.name and user.email Git config set"],"input_types":["Modified files in working directory","Commit message from action output","PR title and description from action output","Target branch name (default: main)"],"output_types":["Git commits (SHA)","Pull request objects (URL, number, state)","Branch references"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-autopr__cap_4","uri":"capability://automation.workflow.predefined.workflow.templates.for.common.automation.patterns","name":"predefined workflow templates for common automation patterns","description":"AutoPR ships with predefined workflows for common tasks: README generation (analyzing codebase and updating documentation), TODO detection (finding TODO comments and creating GitHub issues), and API Git history (recording API call results). These workflows are implemented as YAML templates in autopr/workflows/ and can be triggered by specific GitHub events. Templates demonstrate the workflow composition pattern and serve as starting points for custom workflows.","intents":["Automatically keep README documentation in sync with codebase changes","Track technical debt by converting TODO comments into actionable GitHub issues","Record API interactions and results in Git history for auditability"],"best_for":["Open-source projects needing living documentation","Teams tracking technical debt systematically","Projects with API-heavy codebases requiring audit trails"],"limitations":["README generation assumes standard project structure; custom layouts may not be detected","TODO detection is regex-based; complex TODO formats may be missed","API Git history requires explicit API calls to be instrumented; not automatic","Templates are opinionated; customization requires forking the entire workflow"],"requires":["AutoPR installed and configured","Appropriate trigger events enabled (e.g., push for README, issue creation for TODOs)","Repository structure matching template assumptions"],"input_types":["Repository file structure","Source code (for TODO detection)","Git commit history","API call results (for API Git history)"],"output_types":["Updated README.md file","GitHub issues (for TODOs)","Git commits (for API history)"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-autopr__cap_5","uri":"capability://data.processing.analysis.findtodos.action.for.parsing.source.code.and.extracting.todo.comments","name":"findtodos action for parsing source code and extracting todo comments","description":"The FindTodos action scans repository files for TODO comments using regex patterns, extracts the comment text and file location, and returns structured data. It recursively traverses the codebase, filters by file type (skipping binaries and common non-source files), and normalizes TODO formats. Output includes file path, line number, and TODO text, which can be used to create GitHub issues or generate reports.","intents":["Automatically discover technical debt scattered across the codebase","Convert TODO comments into trackable GitHub issues","Generate reports of pending work items from source code"],"best_for":["Teams wanting to systematize technical debt tracking","Open-source projects needing visibility into pending work","Codebases with distributed TODO comments"],"limitations":["Regex-based detection; complex TODO formats (multi-line, nested) may be missed","No semantic understanding of TODO priority or category; all TODOs treated equally","Requires source files to be in working directory; cannot analyze archived branches","No deduplication; same TODO appearing in multiple files creates multiple issues"],"requires":["Repository files accessible in working directory","Standard TODO comment syntax (// TODO, # TODO, /* TODO */, etc.)"],"input_types":["Repository file structure","Source code files (text-based)"],"output_types":["Structured list of TODOs with file path, line number, and text","Can be piped to issue creation action"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-autopr__cap_6","uri":"capability://memory.knowledge.caching.mechanism.for.action.results.with.sqlite.persistence","name":"caching mechanism for action results with sqlite persistence","description":"CacheService uses SQLite databases (.autopr/cache/choice.db, .autopr/cache/prompt.db) to cache action results and LLM responses. Actions can opt-in to caching by storing results with a cache key. On subsequent runs, if the same action is invoked with identical inputs, the cached result is returned instead of re-executing. This reduces API calls and improves workflow performance for deterministic actions.","intents":["Reduce LLM API costs by caching repeated action invocations","Speed up workflow execution for idempotent actions","Enable offline testing and development without API calls"],"best_for":["Cost-conscious teams running frequent workflows","Development teams iterating on workflows without incurring API charges","Workflows with repeated identical steps"],"limitations":["Cache invalidation is manual; no automatic expiration or TTL","Cache key generation is action-specific; no standardized hashing","SQLite databases are local; no distributed caching across runners","Cache is not cleared between workflow runs; stale results may be returned","No cache statistics or monitoring; difficult to measure cache hit rates"],"requires":["Write access to .autopr/cache/ directory","SQLite3 library (included in Python standard library)"],"input_types":["Action input parameters","Action output results"],"output_types":["Cached action results (retrieved from SQLite)","Cache hit/miss indicators"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-autopr__cap_7","uri":"capability://tool.use.integration.github.platform.abstraction.with.pluggable.implementations","name":"github platform abstraction with pluggable implementations","description":"PlatformService is an abstract interface for interacting with version control platforms, with GitHubPlatformService providing concrete GitHub API implementations. The abstraction enables workflows to be platform-agnostic; swapping GitHubPlatformService for a GitLabPlatformService would allow the same workflows to run on GitLab. PlatformService handles PR creation/updates, comment publishing, branch operations, and file access through a unified interface.","intents":["Enable workflow portability across different Git platforms","Decouple workflow logic from platform-specific API details","Support future platform integrations without modifying core orchestration"],"best_for":["Organizations using multiple Git platforms","Teams wanting to migrate from GitHub to GitLab without rewriting workflows","Projects planning to support multiple platforms"],"limitations":["Only GitHub is currently implemented; GitLab/Gitea implementations are theoretical","Platform abstraction adds indirection; debugging platform-specific issues is harder","API differences between platforms may require workflow adjustments despite abstraction","No automatic API feature detection; workflows may fail on platforms lacking required features"],"requires":["Platform-specific API credentials (GitHub token)","PlatformService implementation for target platform"],"input_types":["Platform-agnostic workflow definitions","PR/issue/comment data structures"],"output_types":["Platform-specific API responses","Normalized result objects"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-autopr__cap_8","uri":"capability://text.generation.language.ai.powered.pull.request.description.generation.and.summarization","name":"ai-powered pull request description generation and summarization","description":"Actions can generate PR descriptions by analyzing code changes, commit messages, and repository context using LLM prompts. The PublishService formats these descriptions and publishes them to GitHub PRs. Actions can also summarize changes in natural language, extract key modifications, and generate release notes. This capability integrates with the commit workflow to automatically document what changed and why.","intents":["Automatically generate meaningful PR descriptions from code changes","Summarize complex changes in human-readable language","Create release notes and changelog entries from PR metadata"],"best_for":["Teams improving PR documentation quality","Projects needing automated changelog generation","Workflows where PR descriptions are critical for code review"],"limitations":["LLM-generated descriptions may be verbose or miss important context","No semantic understanding of code changes; descriptions are based on diff analysis","Requires LLM API calls; adds latency to PR creation","No customization of description format; template is fixed","May generate inaccurate summaries for complex refactorings"],"requires":["LLM API access (OpenAI, Anthropic, or other provider)","Code diff data from Git","Commit messages for context"],"input_types":["Git diffs (file changes)","Commit messages","Repository metadata","Issue/PR context"],"output_types":["Markdown-formatted PR description","Summary text","Structured change metadata"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-autopr__cap_9","uri":"capability://automation.workflow.event.driven.trigger.matching.with.workflow.routing","name":"event-driven trigger matching with workflow routing","description":"TriggerService matches incoming GitHub events against defined triggers in the workflow configuration. Each trigger specifies an event type (issue, pull_request, push) and optional filters (action, label, branch). When an event matches a trigger, the associated workflow is queued for execution. The system supports multiple triggers per workflow and multiple workflows per event type, enabling complex automation routing.","intents":["Route different GitHub events to appropriate automation workflows","Trigger workflows conditionally based on event metadata","Execute multiple workflows in response to a single event"],"best_for":["Complex automation scenarios with multiple event types","Teams needing conditional workflow execution","Projects with event-driven architecture"],"limitations":["Trigger matching is event-type based; no regex or complex conditional logic","No event deduplication; duplicate events trigger duplicate workflows","Trigger configuration is static; no dynamic trigger registration","No trigger priority or ordering; execution order is undefined when multiple triggers match","Limited filter options; cannot filter on custom event properties"],"requires":["Trigger definitions in .autopr/workflows.yaml","GitHub webhook configured to send events to AutoPR","Event type support in TriggerService (issue, pull_request, push, etc.)"],"input_types":["GitHub webhook payloads (JSON)","Event type (issue, pull_request, push, etc.)","Event metadata (action, labels, branch, etc.)"],"output_types":["Matched trigger identifier","Associated workflow name","Workflow execution queue entry"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":27,"verified":false,"data_access_risk":"high","permissions":["GitHub repository with Actions enabled","Python 3.8+","GitHub API token with repo and workflow permissions",".autopr/workflows.yaml configuration file in repository root","YAML syntax knowledge",".autopr/workflows.yaml file in repository","Understanding of available action names and their input schemas","Git repository with accessible file system","GitHub API access for event metadata","Sufficient permissions to read repository contents"],"failure_modes":["Trigger matching is event-type based; no regex or complex conditional logic for event filtering","Workflow execution is sequential per trigger; parallel workflow execution not supported","No built-in retry logic or failure recovery — failed steps halt the entire workflow","No conditional branching (if/else) within workflows — all steps execute linearly","Variable interpolation is string-based; no type coercion or complex transformations","YAML parsing is strict; malformed configs fail silently with generic errors","No workflow versioning or rollback mechanism","Context is read-only; actions cannot modify repository state except through commits","Large repositories may have slow context extraction (file listing, history queries)","Context is not cached; repeated queries in the same workflow re-fetch data","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.35,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:02.371Z","last_scraped_at":"2026-05-03T14:00:10.321Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=autopr","compare_url":"https://unfragile.ai/compare?artifact=autopr"}},"signature":"rJZTvoVPTAaNXp1OQ0+W8TJ5R6aXgqlH0leRYlooMy89uIgNSOuNv/xnLUq/wN18WkJriAxKclUfZOwrZ2AjDQ==","signedAt":"2026-06-22T12:09:16.230Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/autopr","artifact":"https://unfragile.ai/autopr","verify":"https://unfragile.ai/api/v1/verify?slug=autopr","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"}}