{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_usetusk","slug":"usetusk","name":"UseTusk","type":"product","url":"https://usetusk.ai","page_url":"https://unfragile.ai/usetusk","categories":["code-review-security"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_usetusk__cap_0","uri":"capability://code.generation.editing.real.time.static.bug.detection.via.ast.analysis","name":"real-time static bug detection via ast analysis","description":"Analyzes code syntax trees and control flow patterns in real-time as developers type or save, identifying common bug categories (null pointer dereferences, type mismatches, unreachable code, logic errors) without requiring full compilation. Uses pattern matching against a curated ruleset of known anti-patterns and vulnerability signatures, likely leveraging tree-sitter or language-specific parsers to build abstract syntax trees for structural analysis rather than regex-based scanning.","intents":["Catch bugs before they reach code review or testing phases","Get immediate feedback on code quality as I write","Identify security vulnerabilities and common pitfalls in real-time","Reduce time spent in manual debugging cycles"],"best_for":["Individual developers working on small-to-medium codebases","Early-stage startups without dedicated QA infrastructure","Teams using interpreted languages where compile-time checking is limited"],"limitations":["Pattern-based detection misses context-specific bugs that require semantic understanding of business logic","No cross-file data flow analysis — cannot track variable mutations across module boundaries","Limited to supported languages; niche or legacy languages may have minimal or no coverage","High false-positive rate on complex conditional logic or dynamic typing patterns"],"requires":["IDE or editor integration (VS Code, JetBrains, or web-based editor)","Network connectivity for cloud-based analysis or local runtime for on-device variant","Code written in supported language (likely JavaScript/TypeScript, Python, Java, Go, Rust)"],"input_types":["source code (text)","file metadata (language, path)","editor context (cursor position, recent changes)"],"output_types":["bug report (structured: line number, severity, category, description)","diagnostic markers (inline editor annotations)"],"categories":["code-generation-editing","static-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_usetusk__cap_1","uri":"capability://code.generation.editing.ai.generated.fix.suggestions.with.code.synthesis","name":"ai-generated fix suggestions with code synthesis","description":"When a bug is detected, generates candidate code fixes by prompting an LLM with the buggy code snippet, surrounding context, and detected bug pattern. The LLM synthesizes replacement code or patch suggestions that address the root cause, likely using few-shot prompting with examples of similar bug-fix pairs from a training corpus. Fixes are ranked by confidence score (based on pattern match certainty and LLM confidence metrics) and presented to the developer for review and one-click application.","intents":["Get suggested code fixes without manually researching the bug cause","Apply fixes with a single click instead of manually editing code","Learn from fix suggestions to understand common bug patterns","Reduce time from bug detection to resolution"],"best_for":["Developers new to a language or framework seeking learning-by-example","Teams under time pressure needing rapid bug triage","Codebases with repetitive bug patterns (e.g., legacy code with consistent anti-patterns)"],"limitations":["AI-generated fixes may be syntactically correct but semantically wrong for the specific business context","No guarantee that suggested fix maintains original intent or doesn't introduce new bugs","Requires developer verification before applying — cannot be fully automated without risk","LLM hallucinations may suggest fixes that compile but fail at runtime or violate architectural constraints","Limited to bugs with clear, localized fixes; complex refactorings or architectural issues are out of scope"],"requires":["LLM API access (likely OpenAI GPT-4 or similar, or proprietary model)","Sufficient API quota and rate limits for real-time fix generation","Developer must have permission to apply code changes (write access to repository)"],"input_types":["buggy code snippet (text, 5-50 lines typical)","bug classification (category, severity)","surrounding code context (imports, function signature, type hints)","language and framework metadata"],"output_types":["fixed code snippet (text, same language as input)","explanation of fix (natural language)","confidence score (numeric 0-1)","alternative fixes (list of ranked candidates)"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_usetusk__cap_2","uri":"capability://memory.knowledge.multi.language.bug.pattern.library.with.continuous.updates","name":"multi-language bug pattern library with continuous updates","description":"Maintains a curated, versioned database of known bug patterns, anti-patterns, and vulnerability signatures across supported programming languages. Patterns are expressed as AST templates, regex rules, or semantic checks that can be efficiently matched against incoming code. The library is updated periodically (likely weekly or monthly) with new patterns discovered from public vulnerability databases (CVE, CWE), community contributions, or internal analysis of common bugs in customer codebases, with version pinning to ensure reproducible analysis.","intents":["Detect newly discovered vulnerability classes without waiting for tool updates","Ensure bug detection rules stay current with evolving security threats","Customize detection rules for team-specific coding standards or anti-patterns","Track which bug patterns are most prevalent in my codebase over time"],"best_for":["Security-conscious teams needing up-to-date vulnerability detection","Organizations with custom coding standards or architectural constraints","Teams using multiple programming languages and needing consistent bug detection across them"],"limitations":["Pattern library coverage is uneven across languages — popular languages (Python, JavaScript) likely have 100+ patterns, niche languages may have <20","New or zero-day vulnerabilities are not detected until patterns are added to the library","Custom pattern creation requires technical expertise; no low-code rule builder for non-developers","Pattern updates may introduce false positives if not thoroughly tested before deployment"],"requires":["Network connectivity to fetch pattern library updates","Storage for local pattern cache (typically <50MB)","Supported programming language with patterns in the library"],"input_types":["pattern library metadata (version, language, pattern count)","custom pattern definitions (optional, JSON or DSL format)"],"output_types":["pattern match results (bug detections with pattern ID and metadata)","pattern library version info (timestamp, update frequency)","custom pattern validation results"],"categories":["memory-knowledge","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_usetusk__cap_3","uri":"capability://tool.use.integration.ide.native.integration.with.inline.diagnostics.and.quick.fix.ui","name":"ide-native integration with inline diagnostics and quick-fix ui","description":"Embeds UseTusk analysis directly into the IDE (VS Code, JetBrains, etc.) via language server protocol (LSP) or proprietary extension APIs, displaying bug diagnostics as inline squiggles, gutter icons, and hover tooltips. Integrates with the IDE's native quick-fix menu (e.g., VS Code's lightbulb) to offer one-click application of suggested fixes, with undo/redo support and diff preview before applying changes. Analysis is triggered on file save, on-demand via keyboard shortcut, or continuously in the background with debouncing to avoid performance impact.","intents":["See bugs and fixes without leaving my IDE or context-switching to a separate tool","Apply fixes with native IDE gestures (lightbulb, keyboard shortcut, context menu)","Preview fixes before applying them to ensure they're correct","Integrate bug detection into my existing development workflow without friction"],"best_for":["Developers using VS Code, JetBrains IDEs (IntelliJ, PyCharm, WebStorm), or other LSP-compatible editors","Teams with strict IDE standardization policies","Developers who spend most of their time in the IDE and want minimal context-switching"],"limitations":["IDE integration quality varies by editor — VS Code support likely mature, other editors may lag","Extension adds memory overhead to IDE process (typically 50-200MB depending on codebase size)","Analysis latency is visible to user if background analysis is slow; may cause IDE lag on large files or slow machines","IDE-specific APIs are fragile — updates to IDE versions may break extension compatibility","No integration with web-based editors or cloud IDEs (GitHub Codespaces, Gitpod) unless explicitly supported"],"requires":["VS Code 1.60+ or JetBrains IDE 2021.1+ (or equivalent for other editors)","Extension installed from marketplace (VS Code Marketplace, JetBrains Plugin Marketplace)","Sufficient IDE memory and CPU for background analysis (typically 2GB+ RAM, modern multi-core CPU)"],"input_types":["open file content (text, real-time from editor buffer)","file metadata (language, path, encoding)","user interaction (save event, keyboard shortcut, quick-fix selection)"],"output_types":["diagnostic markers (line, column, severity, message)","quick-fix actions (code edit, description, keyboard shortcut)","hover information (bug details, fix preview)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_usetusk__cap_4","uri":"capability://data.processing.analysis.codebase.wide.bug.trend.analysis.and.reporting","name":"codebase-wide bug trend analysis and reporting","description":"Aggregates bug detection results across an entire codebase or repository to generate trend reports, dashboards, and metrics showing bug density, most common bug categories, affected files, and severity distribution over time. Likely uses a backend service to collect analysis results from multiple developers' machines or CI/CD pipelines, storing them in a time-series database for historical analysis. Reports are generated on-demand or scheduled (daily/weekly) and exported as PDF, JSON, or embedded in web dashboards for team visibility.","intents":["Track code quality trends over time to measure improvement or regression","Identify files or modules with the highest bug density for targeted refactoring","Prioritize bug fixes by frequency and severity across the team","Report on code quality metrics to stakeholders or management"],"best_for":["Teams with 5+ developers seeking aggregate code quality visibility","Engineering managers needing metrics to track team productivity and code health","Organizations with compliance or quality requirements (e.g., financial services, healthcare)","Teams using CI/CD pipelines and wanting to integrate bug detection into build processes"],"limitations":["Requires opt-in data collection from developers' machines or CI/CD integration — privacy/security concerns may limit adoption","Trend analysis is only meaningful after weeks or months of data collection; initial reports are noisy","Metrics can be gamed (e.g., developers ignoring bugs to improve metrics) without cultural buy-in","No built-in correlation with other metrics (test coverage, deployment frequency, incident rate) — requires manual integration","Freemium tier likely limits historical data retention (e.g., 30 days) or number of projects"],"requires":["Backend service account and API key for data submission","CI/CD integration (GitHub Actions, GitLab CI, Jenkins) or agent running on developer machines","Permission to collect and store anonymized code metrics (may require legal review)"],"input_types":["bug detection results (structured: file, line, category, severity, timestamp)","codebase metadata (language, size, file count)","developer/team metadata (optional, for attribution)"],"output_types":["trend report (PDF, JSON, or HTML dashboard)","metrics (bug density, top categories, affected files, severity distribution)","time-series data (bugs detected per day/week/month)","alerts (e.g., spike in bug count, new vulnerability class detected)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_usetusk__cap_5","uri":"capability://automation.workflow.freemium.usage.based.pricing.with.cloud.hosted.analysis","name":"freemium usage-based pricing with cloud-hosted analysis","description":"Offers a free tier with limited monthly bug detections (likely 100-500 per month) and basic fix suggestions, with paid tiers unlocking unlimited analysis, advanced features (custom patterns, team dashboards), and priority support. Analysis is performed on UseTusk's cloud infrastructure, with code snippets transmitted securely (likely over HTTPS with encryption at rest) to remote servers for processing. Freemium model reduces upfront cost barriers for individual developers and small teams, with upsell to paid tiers as usage grows.","intents":["Try bug detection and fix suggestions without paying upfront","Scale from solo development to team usage without renegotiating contracts","Understand pricing impact before committing to a paid plan"],"best_for":["Solo developers and bootstrapped startups with limited budgets","Teams evaluating multiple bug detection tools before committing","Organizations with variable usage patterns (e.g., seasonal projects)"],"limitations":["Free tier quotas are restrictive — 100-500 detections/month may be exhausted in 1-2 weeks for active developers","Code is transmitted to cloud servers, raising privacy/security concerns for proprietary or sensitive codebases","No on-premise or self-hosted option visible — all analysis is cloud-based","Freemium tier likely lacks advanced features (custom patterns, team dashboards, API access)","Pricing is usage-based, making costs unpredictable for teams with variable activity"],"requires":["Internet connectivity for cloud-based analysis","UseTusk account (free or paid)","Acceptance of data transmission to UseTusk servers (privacy policy review recommended)"],"input_types":["code snippets (text, transmitted to cloud)","usage metrics (API calls, detections, fixes applied)"],"output_types":["usage report (detections/fixes used, quota remaining)","billing information (plan tier, next billing date, cost)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["IDE or editor integration (VS Code, JetBrains, or web-based editor)","Network connectivity for cloud-based analysis or local runtime for on-device variant","Code written in supported language (likely JavaScript/TypeScript, Python, Java, Go, Rust)","LLM API access (likely OpenAI GPT-4 or similar, or proprietary model)","Sufficient API quota and rate limits for real-time fix generation","Developer must have permission to apply code changes (write access to repository)","Network connectivity to fetch pattern library updates","Storage for local pattern cache (typically <50MB)","Supported programming language with patterns in the library","VS Code 1.60+ or JetBrains IDE 2021.1+ (or equivalent for other editors)"],"failure_modes":["Pattern-based detection misses context-specific bugs that require semantic understanding of business logic","No cross-file data flow analysis — cannot track variable mutations across module boundaries","Limited to supported languages; niche or legacy languages may have minimal or no coverage","High false-positive rate on complex conditional logic or dynamic typing patterns","AI-generated fixes may be syntactically correct but semantically wrong for the specific business context","No guarantee that suggested fix maintains original intent or doesn't introduce new bugs","Requires developer verification before applying — cannot be fully automated without risk","LLM hallucinations may suggest fixes that compile but fail at runtime or violate architectural constraints","Limited to bugs with clear, localized fixes; complex refactorings or architectural issues are out of scope","Pattern library coverage is uneven across languages — popular languages (Python, JavaScript) likely have 100+ patterns, niche languages may have <20","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":0.75,"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":"2026-05-24T12:16:33.649Z","last_scraped_at":"2026-04-05T13:23:42.559Z","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=usetusk","compare_url":"https://unfragile.ai/compare?artifact=usetusk"}},"signature":"g2xEAjF4QBYcG2Tw0X+MgB785brK5S2JWPJ2YB8c9DOMIrkwwzuKTbf7qMpU83J0w+oqAYJS3P2low/wDYwTCw==","signedAt":"2026-06-19T18:19:37.993Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/usetusk","artifact":"https://unfragile.ai/usetusk","verify":"https://unfragile.ai/api/v1/verify?slug=usetusk","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"}}