{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_chess","slug":"chess","name":"Chess","type":"webapp","url":"https://chessgpt.atomic14.com","page_url":"https://unfragile.ai/chess","categories":["data-analysis"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_chess__cap_0","uri":"capability://text.generation.language.natural.language.chess.position.analysis.with.contextual.reasoning","name":"natural language chess position analysis with contextual reasoning","description":"Integrates a chess engine (likely Stockfish or similar) with GPT language models to analyze board positions and generate conversational explanations of tactical motifs, strategic concepts, and move rationale. The system parses FEN notation or board state, runs engine evaluation, then uses LLM prompting to translate numerical evaluations and best-move suggestions into human-readable strategic insights explaining 'why' moves matter rather than just outputting raw engine lines.","intents":["I want to understand why my move was bad, not just see that it lost material","I need conceptual explanations of tactical patterns I'm missing in my games","I want to learn positional chess principles through analysis of my own positions","I need an AI coach that explains moves in conversational language, not just engine scores"],"best_for":["Casual chess players (1200-2000 rating) seeking educational feedback","Chess beginners wanting to understand tactical and strategic concepts","Self-taught players without access to human coaches","Players who learn better from narrative explanations than numerical evaluations"],"limitations":["No transparent documentation of which chess engine powers analysis — unclear if it's Stockfish, Komodo, or proprietary solution","LLM-generated explanations may occasionally hallucinate or provide inaccurate strategic reasoning, especially in complex positions","Analysis depth limited by LLM context window — cannot analyze full game histories with detailed commentary on every move","No ability to customize analysis depth, engine strength, or explanation style (e.g., beginner vs advanced terminology)","Latency overhead from sequential engine evaluation + LLM inference may cause noticeable delays for real-time analysis"],"requires":["Web browser with JavaScript enabled","Internet connection for API calls to GPT backend","Basic understanding of chess notation (algebraic notation or ability to use board UI)","No local installation required"],"input_types":["FEN notation (Forsyth-Edwards Notation for board positions)","PGN (Portable Game Notation) for game import — limited support per editorial notes","Interactive board UI input (drag-and-drop piece placement)"],"output_types":["Natural language text explanations of moves and positions","Conversational analysis of tactical motifs and strategic concepts","Suggested best moves with reasoning","Structured evaluation metrics (likely numeric scores from engine)"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chess__cap_1","uri":"capability://tool.use.integration.interactive.chess.board.state.parsing.and.position.input","name":"interactive chess board state parsing and position input","description":"Provides a web-based chess board UI that accepts position input via drag-and-drop piece placement or board diagram interaction, then converts the visual board state into machine-readable format (likely FEN notation) for backend analysis. The UI likely uses a canvas or SVG rendering library (e.g., Chessboard.js or similar) to display pieces and handle user interactions, with client-side validation of legal move syntax before sending to the analysis backend.","intents":["I want to set up a specific chess position without manually typing FEN notation","I need to input a position from a book or puzzle and get AI analysis","I want to explore 'what if' scenarios by modifying a position and re-analyzing","I need a visual board interface rather than text-based notation input"],"best_for":["Casual players unfamiliar with FEN notation","Mobile and tablet users who prefer touch-based board interaction","Puzzle solvers and position explorers","Players without chess software installed locally"],"limitations":["No PGN editor or move-by-move game replay — limited game import functionality per editorial notes","Board UI likely lacks advanced features like board orientation toggle, piece animation settings, or accessibility options","No undo/redo functionality for position setup — must clear and rebuild if mistakes are made","Mobile responsiveness unclear — may have poor UX on small screens","No copy/paste FEN support mentioned — requires manual board setup for complex positions"],"requires":["Web browser with HTML5 Canvas or SVG support","Mouse or touch input device","JavaScript enabled for interactive board rendering","Basic chess knowledge to place pieces correctly"],"input_types":["Mouse drag-and-drop on board squares","Touch input on mobile/tablet devices","Potentially FEN notation paste (if supported)","Visual board diagram interaction"],"output_types":["FEN notation string (internal representation)","Visual board state display","Position validation feedback"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chess__cap_2","uri":"capability://data.processing.analysis.game.import.and.pgn.parsing.with.limited.scope","name":"game import and pgn parsing with limited scope","description":"Accepts PGN (Portable Game Notation) files or game records as input and parses them into individual positions for analysis. The system likely uses a PGN parser library (e.g., chess.js or similar) to extract move sequences and convert them into board states, though editorial notes indicate this functionality is limited compared to dedicated chess platforms. The implementation probably supports basic PGN import but lacks advanced features like move validation, game metadata extraction, or multi-game batch processing.","intents":["I want to import a game from an online platform and analyze specific positions","I need to load a PGN file from a chess database or book","I want to step through a game and analyze critical positions","I need to analyze games from tournaments or famous matches"],"best_for":["Players with existing game collections in PGN format","Coaches analyzing student games","Players studying famous games from databases"],"limitations":["Limited PGN editor functionality — cannot modify games, add annotations, or edit move sequences","No batch import support — likely processes one game at a time","Unclear PGN parsing robustness — may fail on non-standard notation or complex game metadata","No move-by-move game replay or navigation — cannot step through games sequentially","No support for PGN comments, variations, or nested lines — only main line moves","No export functionality to save analysis back to PGN format","Metadata extraction (player names, dates, ratings) likely not supported or displayed"],"requires":["Valid PGN file or text input","Standard algebraic notation (SAN) in PGN","Web browser file upload capability","Internet connection for backend processing"],"input_types":["PGN file upload","PGN text paste","Game record in standard algebraic notation"],"output_types":["Parsed move sequences","Individual board positions","Analysis results for selected positions"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chess__cap_3","uri":"capability://text.generation.language.tactical.motif.and.pattern.recognition.with.natural.language.explanation","name":"tactical motif and pattern recognition with natural language explanation","description":"Analyzes board positions to identify tactical patterns (pins, forks, skewers, discovered attacks, etc.) and strategic concepts (weak squares, pawn structure, piece coordination) using the chess engine's evaluation combined with GPT's pattern recognition and explanation capabilities. The system likely uses the engine's best-move analysis and position evaluation to infer tactical themes, then prompts GPT with position context to generate human-readable explanations of why specific tactics apply and how to exploit them.","intents":["I want to learn what tactical pattern I missed in my game","I need to understand the strategic weaknesses in a position","I want explanations of why a move is strong beyond just the numerical evaluation","I need to improve my pattern recognition for common chess tactics"],"best_for":["Intermediate players (1400-2000 rating) learning tactical patterns","Chess students studying tactical motifs systematically","Players who learn better from narrative explanations than move sequences","Coaches seeking to explain concepts to students in natural language"],"limitations":["LLM-generated pattern explanations may be inaccurate or overgeneralized — no validation against chess theory","Cannot distinguish between subtle positional factors and obvious tactics — may over-explain simple moves","No taxonomy or categorization of identified patterns — explanations are free-form text without structured metadata","Limited to positions where the engine can clearly identify best moves — struggles with unclear or balanced positions","No ability to filter explanations by difficulty level or player skill","Explanations may use inconsistent terminology or miss nuanced strategic concepts"],"requires":["Valid chess position in FEN or board UI format","Chess engine with evaluation capability","GPT API access with sufficient context window","Internet connection for LLM inference"],"input_types":["FEN notation","Board position from UI","Move sequences (for context)"],"output_types":["Natural language explanations of tactical motifs","Strategic concept descriptions","Pattern identification with reasoning","Suggested improvements with justification"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chess__cap_4","uri":"capability://automation.workflow.free.tier.access.with.no.authentication.barriers","name":"free-tier access with no authentication barriers","description":"Provides completely free access to all core analysis features without requiring account creation, login, or payment. The webapp likely uses a public API endpoint or shared backend resource pool to serve analysis requests, with no per-user rate limiting or feature gating. This approach prioritizes accessibility for casual learners over monetization, removing friction for first-time users exploring AI-assisted chess improvement.","intents":["I want to try AI chess analysis without committing to a paid subscription","I need to analyze a position quickly without account setup overhead","I want to explore chess learning tools as a beginner with no budget","I need immediate access to analysis without registration friction"],"best_for":["Casual chess players and beginners with limited budgets","Students exploring chess as a hobby","Players evaluating chess tools before committing to paid platforms","Regions with limited access to premium chess software"],"limitations":["No user accounts means no saved analysis history or game collections — analysis is ephemeral","Likely no personalized recommendations or learning progress tracking","Unclear rate limiting — free tier may have request throttling or analysis depth limits","No premium features or advanced analysis options mentioned","Sustainability unclear — free model may lead to service discontinuation or quality degradation","No user data persistence — cannot resume analysis sessions across browser sessions","Potential for abuse or spam without authentication — may impact service reliability"],"requires":["Web browser with internet access","No account creation or payment information","No API key or authentication token"],"input_types":["Board position input","PGN import","FEN notation"],"output_types":["Analysis results","Natural language explanations","Move suggestions"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chess__cap_5","uri":"capability://data.processing.analysis.real.time.position.evaluation.with.engine.integration","name":"real-time position evaluation with engine integration","description":"Integrates a chess engine (likely Stockfish or similar) to evaluate board positions and compute best moves, piece values, and positional assessments. The system likely runs the engine on the backend with configurable depth/time limits, then returns evaluation scores (centipawn advantage) and principal variations (best move sequences) to the frontend. The evaluation is then passed to the LLM layer for natural language explanation, creating a two-stage analysis pipeline.","intents":["I want to know if my move is good or bad with a numeric evaluation","I need to see the best moves in a position according to a strong engine","I want to understand the material and positional balance in a position","I need engine analysis to verify my chess intuition"],"best_for":["Players seeking objective position evaluation","Coaches verifying game analysis accuracy","Players training against engine recommendations","Anyone wanting to understand move quality beyond intuition"],"limitations":["Engine strength and analysis depth unclear — no documentation of Elo rating or search depth","Evaluation scores may be presented without context (centipawns are not intuitive for casual players)","No ability to adjust engine strength or analysis time — fixed backend configuration","Latency from backend engine evaluation may cause noticeable delays for real-time analysis","No endgame tablebase support mentioned — positions with few pieces may have inaccurate evaluations","No opening book integration — engine may suggest moves that violate opening principles","Unclear if engine runs locally or on remote server — impacts latency and privacy"],"requires":["Chess engine binary (likely Stockfish) running on backend server","Backend infrastructure to execute engine processes","API endpoint to request evaluations","Internet connection for API calls"],"input_types":["FEN notation","Board position"],"output_types":["Centipawn evaluation scores","Best move suggestions","Principal variation (best move sequence)","Piece value assessments"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chess__cap_6","uri":"capability://text.generation.language.conversational.chess.coaching.through.contextual.llm.prompting","name":"conversational chess coaching through contextual llm prompting","description":"Uses GPT's language generation capabilities to provide conversational coaching feedback on chess positions and moves, translating engine evaluations into strategic advice and learning-focused explanations. The system likely constructs detailed prompts that include position context (FEN, material count, piece placement), engine recommendations, and coaching directives (e.g., 'explain this position as if teaching a beginner'), then generates natural language responses that address the user's implicit learning needs rather than just outputting engine lines.","intents":["I want a coach-like explanation of my mistakes, not just engine scores","I need to understand the strategic principles behind a move recommendation","I want personalized feedback on my chess thinking process","I need explanations tailored to my skill level and learning style"],"best_for":["Beginner to intermediate players seeking educational feedback","Self-taught players without access to human coaches","Players who learn better from narrative explanations than numerical evaluations","Non-native English speakers who benefit from clear, conversational explanations"],"limitations":["LLM-generated coaching may hallucinate or provide inaccurate chess theory — no validation against chess databases","Explanations may be verbose or lack conciseness — no length control or summarization","Cannot adapt to individual learning styles or skill progression — one-size-fits-all explanations","No ability to ask follow-up questions or engage in multi-turn coaching dialogue","LLM may prioritize conversational fluency over chess accuracy — explanations sound good but may be wrong","No coaching framework or structured learning progression — analysis is ad-hoc rather than systematic","Latency from LLM inference may make real-time coaching impractical"],"requires":["GPT API access (likely GPT-3.5 or GPT-4)","API key and authentication","Internet connection for LLM inference","Chess position in FEN or board format"],"input_types":["Chess position (FEN or board state)","Move history or game context","Implicit coaching request (position analysis)"],"output_types":["Natural language coaching feedback","Strategic explanations","Move recommendations with reasoning","Learning-focused insights"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chess__cap_7","uri":"capability://automation.workflow.web.based.analysis.without.local.installation.or.software.dependencies","name":"web-based analysis without local installation or software dependencies","description":"Delivers chess analysis entirely through a web browser interface, eliminating the need for local chess software installation, engine binaries, or complex setup. The architecture likely uses a standard web stack (HTML/CSS/JavaScript frontend) communicating with a backend API that handles engine execution and LLM inference, allowing users to access analysis from any device with a browser and internet connection. This approach prioritizes accessibility and cross-platform compatibility over performance optimization.","intents":["I want to analyze chess positions without installing software","I need to access analysis from multiple devices (phone, tablet, desktop)","I want to avoid the complexity of setting up chess engines locally","I need analysis on a device where I cannot install applications"],"best_for":["Casual players without technical expertise","Mobile and tablet users","Players in restricted environments (schools, workplaces) where software installation is limited","Users wanting cross-device access without synchronization overhead"],"limitations":["Latency from backend API calls — slower than local engine analysis","Dependent on internet connectivity — cannot work offline","Backend infrastructure costs may limit analysis depth or request frequency","No local caching of analysis results — each analysis requires a fresh API call","Browser compatibility issues may affect some users on older devices","Mobile UX likely suboptimal — board UI may not scale well to small screens","No ability to customize analysis parameters or engine strength locally"],"requires":["Web browser (Chrome, Firefox, Safari, Edge)","JavaScript enabled","Internet connection with reasonable latency","No local software installation","No API key or authentication (free tier)"],"input_types":["Interactive board UI input","FEN notation paste","PGN file upload"],"output_types":["HTML/CSS rendered board display","Natural language analysis text","Move suggestions and evaluations"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["Web browser with JavaScript enabled","Internet connection for API calls to GPT backend","Basic understanding of chess notation (algebraic notation or ability to use board UI)","No local installation required","Web browser with HTML5 Canvas or SVG support","Mouse or touch input device","JavaScript enabled for interactive board rendering","Basic chess knowledge to place pieces correctly","Valid PGN file or text input","Standard algebraic notation (SAN) in PGN"],"failure_modes":["No transparent documentation of which chess engine powers analysis — unclear if it's Stockfish, Komodo, or proprietary solution","LLM-generated explanations may occasionally hallucinate or provide inaccurate strategic reasoning, especially in complex positions","Analysis depth limited by LLM context window — cannot analyze full game histories with detailed commentary on every move","No ability to customize analysis depth, engine strength, or explanation style (e.g., beginner vs advanced terminology)","Latency overhead from sequential engine evaluation + LLM inference may cause noticeable delays for real-time analysis","No PGN editor or move-by-move game replay — limited game import functionality per editorial notes","Board UI likely lacks advanced features like board orientation toggle, piece animation settings, or accessibility options","No undo/redo functionality for position setup — must clear and rebuild if mistakes are made","Mobile responsiveness unclear — may have poor UX on small screens","No copy/paste FEN support mentioned — requires manual board setup for complex positions","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.9,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:29.716Z","last_scraped_at":"2026-04-05T13:23:42.561Z","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=chess","compare_url":"https://unfragile.ai/compare?artifact=chess"}},"signature":"BaPXsKfVDWFC+JJURO9V5V5dGjZxhMd2Fh+5EN9gUTA+tDmRyauqx8OoiRfhld2c/p5Ry09vGNjodI3TliGxAQ==","signedAt":"2026-06-15T10:58:29.906Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/chess","artifact":"https://unfragile.ai/chess","verify":"https://unfragile.ai/api/v1/verify?slug=chess","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"}}