'integrity' 검색 결과

Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory, coverage-bounded integrity checks, two-stage peer review, and auditable quality-assurance artifacts. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow, 연구부터 논문까지, 연구 주제 설정부터 논문 완성까지, 논문 전체 워크플로.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Deploys canary files (honeytokens) across file systems to detect ransomware encryption activity in real time. Uses strategically placed decoy documents monitored via file integrity monitoring or OS-level watchdogs to trigger alerts when ransomware modifies or encrypts them. Activates for requests involving ransomware canary deployment, honeyfile setup, deception-based ransomware detection, or file integrity monitoring for encryption.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Verify supply chain integrity for AI agent plugins, tools, and dependencies. Use this skill when: - Generating SHA-256 integrity manifests for agent plugins or tool packages - Verifying that installed plugins match their published manifests - Detecting tampered, modified, or untracked files in agent tool directories - Auditing dependency pinning and version policies for agent components - Building provenance chains for agent plugin promotion (dev → staging → production) - Any request like "verify plugin integrity", "generate manifest", "check supply chain", or "sign this plugin"

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Deploys canary files (honeytokens) across file systems to detect ransomware encryption activity in real time. Uses strategically placed decoy documents monitored via file integrity monitoring or OS-level watchdogs to trigger alerts when ransomware modifies or encrypts them. Activates for requests involving ransomware canary deployment, honeyfile setup, deception-based ransomware detection, or file integrity monitoring for encryption.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Detects data integrity issues including orphaned records, broken foreign key relationships, constraint violations, and provides automated fix migrations. Use for "data integrity", "orphaned records", "broken relationships", or "data quality".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Cognitum Seed 기기의 증거 기록 연결을 검증해 누락된 기록 기간과 해시 체인 단절을 확인합니다. 무결성 점수를 보고하고 발견한 누락을 감사용으로 저장합니다.

• 기기의 증거 기록 연결 검증
• 누락된 기록 기간 확인
• 해시 체인의 단절 지점 확인

저장된 아키텍처 결정 기록인 ADR의 관계를 검증해 끊어진 참조, 대체 관계의 순환, 상태 불일치를 보고합니다. 가져오기 후나 출시 전 점검에 활용합니다.

• ADR 가져오기 후 일관성 확인
• 지속적 통합에서 불일치 탐지
• 출시 전 저장된 ADR 데이터 점검

Review an existing security case package before report handoff. Check links between evidence, findings, investigation paths, tasks, and timeline entries, optionally verify file hashes to detect changes, and produce a Markdown or JSON review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing investigation records before report handoff
• Checking links between evidence, findings, and paths
• Verifying case artifact integrity with SHA-256

Validate generated PowerPoint decks for layout problems, accessibility, editable content, source references, and file integrity. Follow a repair and recheck workflow, keeping audit reports and build records together for delivery.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check generated slides before delivery
• Find overlapping content and overflowing text
• Review accessibility and editable slide objects

Audit Secure Boot settings, revoked boot components, and EFI startup files on Linux and Windows. The skill helps identify missing protections and signs of bootkits, malicious software that runs before the operating system.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Auditing Secure Boot after a bootkit advisory
• Checking revocation updates across managed devices
• Investigating suspected bootkit infections

Design monitoring for industrial attacks that alter controller programs while hiding changes with false sensor readings. Compare PLC program blocks against known-good copies and check physical measurements against process models to identify suspicious inconsistencies.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Monitoring industrial controller programs for unauthorized changes
• Investigating discrepancies between sensor readings and equipment behavior
• Planning detection across IT and industrial control systems

Investigate suspected rootkits, malware that hides its presence, by comparing process lists, inspecting memory, and checking system integrity. Use Volatility and Windows or Linux scanners to identify hidden processes, suspicious drivers, altered system calls, and concealed connections.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating compromise when standard tools show no anomalies
• Comparing process lists to find hidden activity
• Examining suspicious drivers and concealed connections

Check industrial process data servers for unauthorized clients and suspicious data patterns using a Python detector. Provides alerts for missing or constant values and investigation checks for attackers moving between IT and operational technology networks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking industrial historian servers for unauthorized clients
• Investigating missing or suspiciously constant process data
• Reviewing signs of movement between IT and OT networks

Check training data and machine learning models for malicious changes, including backdoors that cause unexpected behavior on specific inputs. Combine data quality checks, model analysis, and file integrity verification, then document findings and retest after remediation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Screening third-party data before training
• Checking downloaded model weights before deployment
• Investigating unexpected behavior on specific inputs

Collect evidence from a compromised computer before shutdown or remediation erases it. Preserve memory, network connections, processes, and system state, then record integrity hashes and handling history to support incident investigation and evidence tracking.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preserving evidence before shutting down a compromised computer
• Collecting memory evidence for suspected fileless malware
• Recording active connections and processes during an intrusion

Investigate malware hidden in boot records, UEFI firmware, or the operating system’s core. The skill guides evidence collection, boot integrity checks, firmware and memory analysis, and reporting of persistence mechanisms and remediation steps when compromise survives an OS reinstall.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating infections that survive an OS reinstall
• Examining unexplained Secure Boot integrity violations
• Finding hidden processes and suspicious kernel drivers

Create disk images for investigations using dd or dcfldd on Linux. The workflow covers write protection, bit-for-bit copying, hash checks to verify integrity, and documentation of the acquisition process.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preserving a suspect drive before investigation
• Creating evidence copies of USB devices or memory cards
• Verifying that a disk image matches its source

Find CAD models of off-the-shelf parts on step.parts using model names, standards, aliases, and dimensions. Compare matching records, download STEP files when needed, and check file integrity against a supplied checksum.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find a servo or motor by model number and aliases
• Compare screws and bearings by standard and dimensions
• Download a selected STEP file and check its integrity

Check experimental results before making research claims. A fresh reviewer examines reference data, score calculations, result files, and evaluation scope, then produces an evidence-based report showing which claims are supported and which need qualification.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking results before writing a paper
• Verifying reference data and score calculations
• Matching reported numbers to result files

Audit research experiments before using their results to support claims. An independent model checks reference data, metric calculations, result files, and evaluation scope, producing reports with evidence, findings, and specific actions to address concerns.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Verify the source of reference data
• Check score normalization and metric calculations
• Match paper claims against saved results

Audit npm dependencies before updating them with Bun. Check maintainers, release age, signatures, published file changes, and release notes, then update packages that pass review and record deferred updates for later follow-up.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Auditing dependency updates before installation
• Checking maintainer changes and suspicious package contents
• Updating packages that pass integrity checks

Inspect DWARF, the debug information stored with compiled code, to find functions and types, check structural integrity, and clarify specification details. Also helps write parsing tools using libraries such as pyelftools, libdwarf, or gimli.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding functions and types in debug information
• Checking DWARF structural integrity
• Comparing debug-information quality metrics

Check AI watermarks through Google, OpenAI, Microsoft, or Meta verification services. The skill links results to file hashes, identifiers used to verify file integrity, and records separate evidence for each configured account and verification route.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking watermarks through provider verification services
• Comparing Gemini results across configured accounts
• Recording API and browser checks separately

Review research ethics, participant protection, and potential bias from planning through publication. The skill examines questionable research practices and study trustworthiness, then produces a structured report with evidence, risk levels, and prioritized recommendations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review consent documents before collecting data
• Screen analyses for questionable research practices
• Assess trustworthiness in qualitative research