{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_resumecheck","slug":"resumecheck","name":"ResumeCheck","type":"product","url":"https://resumecheck.net","page_url":"https://unfragile.ai/resumecheck","categories":["text-writing"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_resumecheck__cap_0","uri":"capability://data.processing.analysis.ats.aware.resume.content.optimization","name":"ats-aware resume content optimization","description":"Analyzes resume text against known Applicant Tracking System (ATS) parsing rules and keyword matching patterns to identify missing high-value keywords, formatting issues that confuse parsers, and structural problems that reduce ATS match scores. The system likely uses pattern matching against industry job descriptions and ATS simulation models to flag content that will be filtered out or ranked lower by automated screening systems before human review.","intents":["I need to ensure my resume passes ATS screening and doesn't get filtered out before a recruiter sees it","I want to know which keywords from the job description I'm missing and where to naturally insert them","I need to understand why my resume might be getting rejected at the automated screening stage"],"best_for":["Job seekers applying to large corporations with automated screening pipelines","Career changers who need to bridge terminology gaps between industries","Volume applicants targeting 50+ positions where ATS compliance is critical"],"limitations":["Cannot guarantee ATS compatibility across all vendor systems (Workday, Taleo, iCIMS have different parsing rules)","Optimization for ATS may produce keyword-stuffed content that reads poorly to human recruiters","No visibility into the specific ATS system used by target employer, so recommendations are generic","May over-weight keyword density at the expense of narrative coherence and storytelling"],"requires":["Plain text or formatted resume (PDF, DOCX, or text input)","Target job description or job title for keyword comparison","Internet connection for cloud-based analysis"],"input_types":["text (resume content)","text (job description or job title)"],"output_types":["structured feedback (missing keywords, formatting issues)","annotated resume with suggestions","ATS compatibility score or percentage"],"categories":["data-processing-analysis","resume-optimization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_resumecheck__cap_1","uri":"capability://text.generation.language.industry.specific.resume.language.refinement","name":"industry-specific resume language refinement","description":"Evaluates resume content against industry-specific terminology, jargon, and phrasing conventions to suggest more credible and impactful language. The system likely maintains or queries a taxonomy of industry-standard terms, achievement metrics, and credential phrasings (e.g., 'managed cross-functional team of 8' vs 'led team') and recommends substitutions that align with how professionals in that field typically describe similar work.","intents":["I want my resume to use the right terminology so hiring managers in my industry recognize my expertise","I need to translate my accomplishments into the language and metrics that matter in my target field","I'm switching industries and need help understanding how to frame my experience in the new field's vocabulary"],"best_for":["Mid-career professionals in specialized fields (engineering, finance, healthcare, law) where terminology precision signals competence","Career changers who need to learn and apply new industry vocabulary","Non-native English speakers seeking to match native-speaker phrasing conventions in their target industry"],"limitations":["Effectiveness depends on whether the system has been trained on or has access to terminology for the user's specific industry niche","May not understand emerging roles or newly-coined job titles that aren't yet in the training data","Risk of over-standardization: suggests conventional phrasing that may actually make a resume less memorable","Cannot distinguish between legitimate specialized terminology and buzzwords that are overused in a field"],"requires":["Resume text input","Target industry or job title specification","Ideally, sample job descriptions from target roles for context"],"input_types":["text (resume content)","text (industry/job title or job description)"],"output_types":["text (suggested rewrites with explanations)","terminology glossary or reference guide","before/after comparison with industry alignment score"],"categories":["text-generation-language","resume-optimization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_resumecheck__cap_2","uri":"capability://text.generation.language.achievement.metric.quantification.and.impact.reframing","name":"achievement metric quantification and impact reframing","description":"Transforms vague responsibility statements into quantified, impact-focused achievement bullets by suggesting specific metrics, percentages, and business outcomes. The system analyzes resume content for weak action verbs and generic descriptions, then recommends stronger verbs paired with concrete metrics (e.g., 'Improved customer retention by 23%' instead of 'Responsible for customer satisfaction'). This likely uses pattern matching against achievement statement templates and metric inference from context.","intents":["I want to convert my job duties into compelling achievement statements with numbers and outcomes","I need to understand what metrics matter for my role and how to quantify my impact","I'm struggling to describe my accomplishments without sounding like I'm exaggerating or making up numbers"],"best_for":["Early-career professionals who lack experience writing achievement-focused resumes","Professionals in roles where impact is hard to quantify (HR, operations, support) seeking guidance on relevant metrics","Job seekers who have strong experience but weak resume writing skills"],"limitations":["Cannot verify whether suggested metrics are realistic or truthful — system may encourage inflated claims","Metric suggestions are generic templates; may not reflect the actual business context or what was truly measurable","Assumes all roles have quantifiable outcomes, which is false for some positions (e.g., strategic advisory, creative roles)","May suggest metrics that are irrelevant or unimpressive in the user's specific industry context","Requires user to have access to actual data; system cannot generate truthful metrics from thin air"],"requires":["Resume text with job descriptions or responsibility statements","User knowledge of actual outcomes/metrics from their work (system cannot invent truthful data)","Context about the role, company size, and industry for metric relevance assessment"],"input_types":["text (resume bullet points or job descriptions)"],"output_types":["text (rewritten achievement bullets with suggested metrics)","structured suggestions (metric type, action verb, outcome framing)","guidance on how to quantify specific role types"],"categories":["text-generation-language","resume-optimization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_resumecheck__cap_3","uri":"capability://text.generation.language.personalized.cover.letter.generation.from.resume.context","name":"personalized cover letter generation from resume context","description":"Generates customized cover letters by extracting key achievements, skills, and experience from the user's resume and job description, then synthesizing them into a narrative that connects the user's background to the specific role's requirements. The system likely uses template-based generation with variable substitution, combined with semantic matching between resume content and job description keywords to identify the most relevant accomplishments to highlight.","intents":["I need to quickly generate a cover letter that's tailored to this specific job without starting from scratch","I want my cover letter to reference specific achievements from my resume that match the job requirements","I'm applying to many positions and need a fast way to create personalized cover letters for each application"],"best_for":["High-volume job applicants (50+ applications) who need speed over narrative differentiation","Job seekers with limited cover letter writing experience or non-native English speakers","Career changers who need help articulating why their background is relevant to a new field"],"limitations":["Generated cover letters are template-based and often lack the personal voice and narrative arc that stand out to hiring managers","Cannot capture the user's personality, writing style, or unique story — output is generic and formulaic","Semantic matching may miss nuanced connections between resume content and job requirements, leading to irrelevant or forced connections","No ability to research the company culture, recent news, or specific team context to create truly personalized letters","Risk of producing identical-sounding cover letters across multiple applications, which recruiters can detect"],"requires":["Resume text (structured or unstructured)","Job description or job posting text","Internet connection for cloud-based generation"],"input_types":["text (resume content)","text (job description)"],"output_types":["text (generated cover letter)","structured template with variable placeholders","multiple variations or versions for user selection"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_resumecheck__cap_4","uri":"capability://data.processing.analysis.resume.structure.and.formatting.validation","name":"resume structure and formatting validation","description":"Analyzes resume layout, formatting, and structure against best practices for readability, ATS compatibility, and visual hierarchy. The system checks for issues like inconsistent date formatting, poor spacing, unclear section organization, font choices that don't render well in ATS systems, and visual elements (tables, graphics, columns) that confuse parsers. Likely uses rule-based validation against a checklist of formatting standards combined with ATS simulation to detect parsing failures.","intents":["I want to know if my resume's formatting will be readable by ATS systems and human recruiters","I need to fix formatting issues that might be causing my resume to be rejected or misread","I'm unsure about best practices for resume layout and want guidance on structure and organization"],"best_for":["Job seekers using resume templates or custom formatting who aren't sure if their layout is ATS-safe","Professionals with visually-designed resumes who need to understand trade-offs between aesthetics and ATS compatibility","Non-native English speakers or first-time resume writers unfamiliar with standard formatting conventions"],"limitations":["Validation is based on general best practices; some industries (design, creative) may intentionally use non-standard formatting that the system flags as problematic","Cannot test against the specific ATS system used by the target employer, so recommendations are generic","May be overly conservative in flagging visual elements (colors, icons, graphics) that some modern ATS systems can handle","Doesn't account for cultural or regional resume formatting conventions that differ from US standards"],"requires":["Resume file (PDF, DOCX, or text) or formatted resume content","Ideally, the resume in its final output format to assess actual rendering"],"input_types":["text (resume content)","file (PDF, DOCX, or other formatted resume)"],"output_types":["structured validation report (issues, severity, recommendations)","annotated resume with formatting feedback","before/after comparison showing corrected formatting"],"categories":["data-processing-analysis","resume-optimization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_resumecheck__cap_5","uri":"capability://text.generation.language.real.time.content.optimization.feedback.and.suggestions","name":"real-time content optimization feedback and suggestions","description":"Provides immediate, contextual feedback as users edit their resume or cover letter, highlighting areas for improvement with explanations of why changes are suggested. The system likely uses a combination of rule-based checks (e.g., weak action verbs, passive voice, vague language) and pattern matching against achievement statement templates to generate suggestions in real-time without requiring batch processing or manual submission.","intents":["I want to understand why the system is suggesting changes, not just what to change","I need immediate feedback as I write so I can improve my content iteratively","I want to learn best practices for resume writing by seeing explanations for each suggestion"],"best_for":["Job seekers who want to learn resume writing skills, not just get a polished output","Users who prefer iterative refinement over batch processing or one-shot generation","Professionals who want to understand the reasoning behind optimization suggestions"],"limitations":["Real-time feedback requires client-side processing or low-latency API calls, which may impact performance on slower connections","Explanations are template-based and may not address the specific context or nuance of the user's situation","Over-reliance on real-time feedback may lead to analysis paralysis or endless tweaking without submission","Suggestions are based on general best practices and may not account for the user's specific industry, role, or target company"],"requires":["Web-based editor or integration with text editor (VS Code, Google Docs, etc.)","Internet connection for cloud-based analysis (if not client-side)","JavaScript or similar client-side processing capability for real-time performance"],"input_types":["text (resume or cover letter content, streamed or updated in real-time)"],"output_types":["structured feedback (issue type, location, explanation, suggestion)","annotated text with inline comments or highlights","contextual tooltips or explanations"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_resumecheck__cap_6","uri":"capability://data.processing.analysis.job.description.keyword.extraction.and.matching","name":"job description keyword extraction and matching","description":"Parses job descriptions to identify key skills, qualifications, responsibilities, and keywords, then compares them against the user's resume to highlight gaps and matches. The system likely uses NLP techniques (named entity recognition, keyword extraction, semantic similarity) to identify important terms and concepts from the job posting, then maps them to resume content to calculate alignment scores and identify missing keywords or skills.","intents":["I want to know which keywords from the job description I'm missing in my resume","I need to understand what skills and qualifications the job posting emphasizes most","I want to see how well my resume aligns with a specific job posting before applying"],"best_for":["Job seekers applying to specific positions who want to tailor their resume before submission","Career changers who need to understand what skills they're missing for a target role","High-volume applicants who want to prioritize which positions are good fits based on resume alignment"],"limitations":["Keyword extraction may miss nuanced requirements or soft skills that aren't explicitly mentioned in the job posting","Matching is based on keyword similarity, which may produce false positives (e.g., matching 'Python' in resume to 'Python' in job description without understanding context)","Cannot distinguish between must-have and nice-to-have qualifications based on job description text alone","Job postings often contain generic or boilerplate language that doesn't reflect actual role requirements","No ability to understand implicit requirements or company culture fit based on job description alone"],"requires":["Resume text (structured or unstructured)","Job description text (from job posting, email, or other source)"],"input_types":["text (resume content)","text (job description)"],"output_types":["structured keyword list (extracted from job description)","alignment report (matched keywords, missing keywords, match percentage)","gap analysis (skills/qualifications user is missing)","recommendations for resume updates"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_resumecheck__cap_7","uri":"capability://automation.workflow.multi.version.resume.generation.and.a.b.testing.support","name":"multi-version resume generation and a/b testing support","description":"Enables users to create and manage multiple resume versions optimized for different job types, industries, or companies, with the ability to compare versions and track which versions perform better. The system likely stores multiple resume variants and provides tools to generate variations based on different job descriptions or optimization strategies, potentially with analytics on which versions receive more recruiter engagement or interview callbacks.","intents":["I want to create different resume versions for different job types or industries without managing separate files","I need to test which resume version gets better response rates from recruiters","I want to quickly switch between resume versions when applying to different types of positions"],"best_for":["Career changers applying to roles in different industries who need industry-specific resume versions","Job seekers testing different resume strategies or formats to optimize response rates","Professionals with diverse skill sets who want to emphasize different aspects for different roles"],"limitations":["Requires tracking and analytics infrastructure to measure which versions perform better, which may not be available in freemium tier","A/B testing requires sufficient volume of applications to produce statistically significant results","Managing multiple versions increases complexity and risk of applying with the wrong version","No ability to track which version was used for which application without manual logging","Effectiveness depends on whether the system can generate meaningfully different versions or just minor variations"],"requires":["User account with version management and storage capability","Ideally, analytics integration to track application outcomes","Multiple job descriptions or role types to optimize for"],"input_types":["text (base resume content)","text (multiple job descriptions for different versions)"],"output_types":["multiple resume versions (stored and retrievable)","comparison view showing differences between versions","analytics dashboard (if available) showing performance metrics per version"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":41,"verified":false,"data_access_risk":"high","permissions":["Plain text or formatted resume (PDF, DOCX, or text input)","Target job description or job title for keyword comparison","Internet connection for cloud-based analysis","Resume text input","Target industry or job title specification","Ideally, sample job descriptions from target roles for context","Resume text with job descriptions or responsibility statements","User knowledge of actual outcomes/metrics from their work (system cannot invent truthful data)","Context about the role, company size, and industry for metric relevance assessment","Resume text (structured or unstructured)"],"failure_modes":["Cannot guarantee ATS compatibility across all vendor systems (Workday, Taleo, iCIMS have different parsing rules)","Optimization for ATS may produce keyword-stuffed content that reads poorly to human recruiters","No visibility into the specific ATS system used by target employer, so recommendations are generic","May over-weight keyword density at the expense of narrative coherence and storytelling","Effectiveness depends on whether the system has been trained on or has access to terminology for the user's specific industry niche","May not understand emerging roles or newly-coined job titles that aren't yet in the training data","Risk of over-standardization: suggests conventional phrasing that may actually make a resume less memorable","Cannot distinguish between legitimate specialized terminology and buzzwords that are overused in a field","Cannot verify whether suggested metrics are realistic or truthful — system may encourage inflated claims","Metric suggestions are generic templates; may not reflect the actual business context or what was truly measurable","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.7300000000000001,"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":"2026-05-24T12:16:33.095Z","last_scraped_at":"2026-04-05T13:23:42.551Z","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=resumecheck","compare_url":"https://unfragile.ai/compare?artifact=resumecheck"}},"signature":"Sk2NnSTDkTTJb+TBI+zI+BJj4BmxupCIoOPDdjxUPlmV9U58XMhP6aHtW+QKsObTOxHXpkSQaRiYYml66tNVCA==","signedAt":"2026-06-22T05:36:10.033Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/resumecheck","artifact":"https://unfragile.ai/resumecheck","verify":"https://unfragile.ai/api/v1/verify?slug=resumecheck","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"}}