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Organize internal investigations from intake to draft reports. Track evidence, missing sources, and conflicting accounts in a structured log, answer questions with entry references, and prepare summaries tailored to different audiences.

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• Organizing interview notes and investigation documents
• Checking missing evidence and conflicting accounts
• Drafting or updating an investigation report

Start an internal investigation after a complaint or allegation. The skill collects intake details, creates a checklist of information sources, and sets up a persistent investigation log for attorneys preparing an investigation workspace.

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• Opening an investigation after an internal complaint
• Collecting initial details about an allegation
• Preparing a sources checklist and investigation log

Draft an internal investigation memo from the investigation log, or update an existing draft as new information arrives. The workflow flags outstanding priority sources and shows changes before revising the memo.

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• Prepare the first memo from an investigation log
• Update a draft after new information arrives
• Check outstanding priority sources before drafting

Turn an internal investigation report into a summary for HR, leadership, or outside counsel. Adjust detail for each audience, excluding legal analysis and attorney impressions from HR versions while retaining full context for outside counsel.

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• Preparing investigation findings for HR
• Summarizing an investigation for leadership
• Briefing outside counsel on an investigation

Add documents, interview notes, or observations to an open investigation. Process batches against documented selection criteria, surface significant items, and log everything reviewed so the team can verify coverage and update its source checklist.

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• Add interview notes to an open investigation
• Process a newly received batch of documents
• Add an email export to an investigation

Ask questions about an open internal investigation without rereading every log entry. The skill summarizes witness accounts, conflicting statements, evidence, and information gaps, citing log entry IDs so attorneys can trace answers back to the record.

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• Checking what a person said about a specific event
• Comparing conflicting accounts from the parties
• Identifying missing information and follow-up needs

Use when you need to check an IP, domain, file hash, or URL against VirusTotal's reputation database. Returns detection ratio, verdict, community score, and key findings. Commonly invoked by investigation skills (/ip-investigation, /domain-investigation, /hash-investigation, /url-investigation) and by analysts enriching IOCs. Other agents/skills can chain this for VirusTotal enrichment.

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Define a consistent process for unattended AI research using public sources. Limit clarification questions, show a search plan, distinguish facts from interpretations and assumptions, and keep reports structured so repeated investigations can be compared.

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• Defining a process for recurring competitive research
• Separating sourced facts from AI interpretations
• Comparing findings across quarterly investigations

Guides preparation for supervisory authority (DPA) inspections and investigations including document readiness checklists, interview preparation for key personnel, technical demonstration procedures, on-site logistics, response protocols, and post-inspection follow-up. Covers unannounced inspections, formal audits, and complaint-triggered investigations. Keywords: DPA inspection, supervisory authority, investigation, readiness, interview preparation, response protocol.

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Conducts digital forensics investigations following a personal data breach, covering evidence preservation, chain of custody documentation, log analysis, scope determination, and root cause analysis. References industry-standard tools including Splunk, ELK Stack, and Wireshark. Provides forensic workflow from initial evidence collection through final investigation report. Keywords: digital forensics, breach investigation, evidence preservation, chain of custody, root cause analysis, Splunk, ELK, Wireshark.

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Drafts privilege-protective, board-ready executive summary memoranda of internal antitrust investigation findings for US federal law. Covers monopolization, vertical restraints, acquisitions, FTC Act Section 5, tech-platform conduct, risk assessment, and remediation. Use when drafting antitrust investigation summaries, board memos on competition risk, or internal compliance investigation reports.

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investigation-scout と investigation-diver による2フェーズ調査。 不具合の原因調査やコード探索など、未知の領域を掘り下げたいときに使う。 scout が候補を広く洗い出し、diver が高優先の候補を深掘りする。

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Use this skill when the user asks about FMCSA investigation types — Focused Investigation vs Comprehensive Review vs Compliance Review (CR) vs Investigation, when each is triggered, scope differences, on-site vs off-site, and how to prepare for each. Cite 49 CFR 385 Subpart C + D.

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设计或修改REA调查工具时，梳理职责范围、输入输出及CLI或MCP调用约定，并提出涵盖调查依据含义、现有工具比较和验证方法的设计方案。

• 设计新的REA调查工具
• 调整CLI或MCP的输入输出
• 明确provider职责与Evidence含义

运用公开信息调查方法，将照片、视频和公开记录中的零散线索串联起来，核实地点、时间及组织关系，区分证据与假设，并整理反证和未确认事项。

• 核实公共场所照片的拍摄位置
• 从公开记录重建事件时间线
• 调查企业与域名的关系

Build a shared incident timeline in Timesketch from endpoint, server, and cloud logs. Search events, add tags and investigator notes, reconstruct the attack sequence, and organize findings into a story for incident reporting.

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• Reconstructing the sequence of an incident
• Reviewing evidence with multiple analysts
• Combining Plaso output and other logs

Investigate security incidents in Splunk by connecting authentication, endpoint, and network logs. Use SPL, Splunk’s search language, to identify suspicious activity, reconstruct event timelines, document findings, and develop detection rules.

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• Investigating suspicious logins across multiple log sources
• Reconstructing an incident timeline
• Tracing suspicious processes and outbound traffic

Analyze Chrome, Edge, and other Chromium browser profiles with Hindsight to reconstruct web activity. Combine browsing history, downloads, cookies, and other stored records into a chronological timeline, with XLSX, JSON, or SQLite output for investigation.

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• Reconstructing browsing activity during incident response
• Checking download times and source URLs
• Comparing cookies and history in insider threat investigations

Analyze disk images with Autopsy and The Sleuth Kit to recover deleted files, search content, and examine recorded activity. Build investigation timelines and visual reports that help stakeholders understand evidence from one or multiple disk images.

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• Recovering deleted files from a disk image
• Searching evidence for confidential files and keywords
• Reconstructing activity around a malware infection

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.

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

Research topics across multiple sources, cross-check findings, and verify source URLs before producing a report with confidence labels. Choose from quick lookups to iterative investigations that preserve findings, with community sources prioritized for questions about public reactions.

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• Compare AI technology trends
• Map a market and its products
• Investigate community reactions

Structure problem solving around clear goals, competing explanations, experiments, and measurable results. Use the cycle to diagnose bugs, validate features, compare prompts, or evaluate an early product, then choose the next step based on evidence.

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• Diagnosing a bug with a quick investigation
• Comparing prompt structures through experiments
• Defining success criteria for a feature

Evaluate vulnerability reports using seven practical criteria, including attacker capabilities, real usage, documented behavior, and remediation costs. Produce a reasoned decision to accept, dismiss, or request more evidence before committing to deeper investigation.

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• Screening AI-generated security findings before human review
• Assessing whether a reported CVE warrants investigation
• Reviewing bug bounty submissions

Coordinates parallel investigation threads to simultaneously explore multiple hypotheses or root causes across different system areas. Use when debugging production incidents, slow API performance, multi-system integration failures, or complex bugs where the root cause is unclear and multiple plausible theories exist; when serial troubleshooting is too slow; or when multiple investigators can divide root-cause analysis work. Provides structured phases for problem decomposition, thread assignment, sync points with Continue/Pivot/Converge decisions, and final report synthesis.

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