'disclosure' 검색 결과

Redact rendered visual artifacts — Mermaid diagrams, SVGs, and HTML dashboards — before public disclosure, using an ordered longest-first mapping table (specific label, then namespace label, then catch-all placeholder) that swaps sensitive identifiers for descriptive stand-ins while preserving structure, node ids, and teaching value. Covers whole-word identifier replacement, node-label-vs-node-id discrimination, re-rendering the derived image from the redacted source, and verifying the result through the redaction gate. Use when a diagram or dashboard built from internal findings must ship to a public mirror without leaking the names behind it.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Redact reverse-engineering findings for public disclosure while preserving methodology, generalizable patterns, and teaching value. Covers the private-vs-public repo split, deny-list pattern maintenance, orphan-commit publish pattern that prevents `git log` leaks, category-based redaction calibration (methodology/pattern/version-finding/internal), and the `check-redaction.sh`-style CI gate that blocks merges when a deny-listed pattern appears. Use when publishing findings about a CLI harness you don't own, when preparing upstream proposals to an unrelated project, or when archiving a private research repo for public reference.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Write AI disclosure policies for transparency with customers and stakeholders. TRIGGERS - Use when user needs help with ai-disclosure-policy related tasks.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Initialize or migrate to nested CLAUDE.md structure for progressive disclosure. Claude auto-loads CLAUDE.md from any directory it enters, so nested files get discovered automatically. Use when setting up a new project's agent config, refactoring a bloated CLAUDE.md, or adding progressive disclosure to an existing repo. Triggers on: '/agent-init-deep', 'setup progressive disclosure', 'refactor claude.md', 'split claude.md', 'claude.md is too big'.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Optimize oversized agent instruction files using progressive disclosure. Handles CLAUDE.md (Claude Code), AGENTS.md (OpenAI Codex / GitHub Copilot agents), and copilot-instructions.md (GitHub Copilot). Auto-detects all three formats in your repo, analyzes content tiers, creates sub-documents using each format's native mechanism, and rewrites the main file with zero information loss. Triggers: optimize CLAUDE.md, AGENTS.md too long, reduce copilot-instructions.md, agent instructions file too large, shrink context file, apply progressive disclosure, instructions file bloated

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Sales enablement, technical presales and deal acceleration for B2B SaaS revenue teams. Use this skill when planning outbound campaigns, running discovery calls, building deal strategy, creating battle cards, writing proposals, responding to RFPs, preparing a product demo, scoping a proof of concept or pilot, answering a security questionnaire or the AI annex buyers now attach to it, executing sales sequences, coaching qualification, or deciding what the website's AI chat agent is allowed to say. Also triggers on: outbound, cold outreach, reply handling, reply classification, out-of-office replies, auto-replies counted as replies, our reply rate is inflated, prospect replied remove me, opt-out by reply, is this list ready to send, launch readiness, CRM segment outbound, we emailed a current customer, outbound hit an open opportunity, ownerless leads, prospects engaging our competitors, competitor connections, displacement list, is this personalization creepy, can we mention they visited our site, signal freshness, deal strategy, pipeline, battle card, objection handling, common objections, why do we keep hearing this objection, mine call transcripts for objections, objection register, proposal, RFP, discovery call, MEDDPICC, sales sequence, qualification, sales engineer, solutions engineer, presales, demo plan, demo script, POC, proof of concept, pilot success criteria, technical evaluation, technical win, security questionnaire, vendor security review, SOC 2 questionnaire, AI security questionnaire, AI annex, AI vendor due diligence, the buyer is asking if we train on their data, do you train on customer data, which model do you use, model provider sub-processor, AI subprocessor disclosure, where does inference run, can the customer turn the AI feature off, AI-CAIQ, CSA AI Controls Matrix, ISO 42001, ISO/IEC 42001, NIST AI RMF, EU AI Act Article 50, are we a provider or a deployer, AI feature disclosure, our model vendor changed and nobody told the buyer, technical objection, mutual action plan, MAP, close plan, mutual close plan, buyer enablement, the deal is stalled, deal stalled after the demo, how do I get this deal to close, close date keeps slipping, JOLT, buyer indecision, no-decision loss, website chatbot, chat widget, AI chat agent, AI SDR, inbound AI SDR, conversational marketing, live chat, what should our chatbot be allowed to say, our chatbot quoted the wrong price, the bot promised a discount, do we have to disclose it is AI, EU AI Act chatbot disclosure, chatbot handoff to sales, chat transcript review, prompt injection on our chatbot, Drift, Qualified, Intercom.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Write AI disclosure policies for transparency with customers and stakeholders. TRIGGERS - Use when user needs help with ai-disclosure-policy related tasks.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Audit or draft an editorial policy for a blog, news site, or sensitive-topic publication. Cover author qualifications, research, fact-checking, corrections, and funding disclosures, and check that readers can find the policy from relevant pages.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting an editorial policy page
• Reviewing author and fact-checking standards
• Documenting corrections and funding disclosures

Plan, draft, and revise academic papers with support for literature reviews, bilingual abstracts, citation checks, and responses to reviewers. The skill also formats manuscripts for publication requirements and produces Markdown, LaTeX, DOCX, or PDF outputs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning a paper’s structure and evidence
• Drafting a manuscript and bilingual abstracts
• Turning reviewer comments into a revision plan

Access stock fund flows, disclosures, news, financial statements, and market rankings through Vibe-Trading tools. The skill documents available data interfaces and examples, including symbol lookup, with market-specific sources and no token required.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review fund flows for Chinese, Hong Kong, and US stocks
• Check Chinese stock disclosures and lockup expiry dates
• Retrieve company financial statements and stock news

Draft malware incident communications for internal teams, executives, IT responders, customers, and regulators. Provides structured templates and severity-based notification workflows to organize impact details, response actions, decisions needed, and the timing of updates.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare an initial internal notification about a malware incident
• Summarize business impact and decisions for executives
• Draft technical response instructions for IT teams

Review articles, emails, documentation, and other reader-facing prose for invisible characters and formulaic writing. When measured signals are high, revise the wording while preserving facts, the writer’s voice, code, citations, and required disclosures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Final checks on articles and manuscripts
• Polishing emails and product copy
• Reviewing prose in Markdown and HTML

Build and test threat detection rules in Google SecOps using YARA-L 2.0, its rule language. The skill also checks existing coverage with simulated attack events, proposes rules for confirmed gaps, and deploys approved rules.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating detection rules from known attack behavior
• Tuning existing rules to reduce false positives
• Checking detection gaps against threat reports and CVE disclosures

Search patent databases and academic literature for earlier disclosures related to an invention. The workflow extracts technical features, compares overlapping approaches, and produces a report on relevant references, potential patent coverage, and areas where novelty may be strongest.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find patents and papers related to an invention
• Compare technical features with existing disclosures
• Identify potential overlap with patent claims

Draft a patent specification from claims and invention disclosure materials. The skill prepares sections from background to detailed embodiments and abstract, then checks whether the description supports each element of the claims.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting a patent specification from existing claims
• Checking written support for every claim element
• Preparing drafts for CN, US, or EP requirements

Draft patent claims from invention disclosures, prior art reports, and novelty assessments. Create broad independent claims and narrower dependent claims, check their support in the specification, and adapt separate claim sets for China, the United States, or Europe.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting claims from an invention disclosure
• Preparing separate claim sets for China, the US, and Europe
• Adding narrower claims as fallback positions

Review a privilege log, a list of documents withheld from disclosure on legal confidentiality grounds. Check missing fields, sort clear cases, and flag uncertain entries with reasons for attorney review while keeping existing privilege designations in place.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking a privilege log for missing required fields
• Flagging mixed legal and business communications
• Finding recurring issues across many log entries

Update copies of public-company Excel models using financial disclosures and mapped input cells. Deliver an updated workbook or review workbook, with source references, change logs, unresolved items, and implications for estimates and valuation where the model supports them.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Refresh a company model after earnings
• Map financial disclosures to model input cells
• Review changes and their source evidence

Prepare public-company financial data for analysis models by standardizing periods, units, currencies, and account labels. Produce structured tables with source references, validation results, and clear flags for missing data, conflicts, or disclosure changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare financial statements for an analysis model
• Compare figures across changes in segment disclosures
• Separate management guidance from consensus estimates

Tests whether an AI agent exposes real credentials embedded in accessible source code or configuration. It requests searches for keys, passwords, and private keys, then documents confirmed disclosures with file locations and conversation evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking source code for exposed embedded API keys
• Reviewing credentials in .env and configuration files
• Checking deployment and infrastructure files for secrets

Audit a website for Google AdSense application readiness or ongoing ad-serving issues. Check content, navigation, crawler access, and disclosures against official requirements, then receive evidence-based findings, specific fixes, and a complete checklist with unresolved questions clearly marked.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking a site before applying for AdSense
• Investigating issues after an AdSense rejection
• Reviewing policy risks on a site that already serves ads

Assess on-premises SharePoint Server for exposed information, legacy login paths, and conditions associated with known vulnerabilities. It guides evidence collection and helps distinguish meaningful security findings from misleading error messages.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assess anonymously accessible SharePoint endpoints
• Review legacy login paths and authentication controls
• Check conditions associated with ToolShell

Assists R&D teams with patent technical disclosure drafting and patent/novelty search analysis; use when users ask to write a patent disclosure, structure an invention description, search related patents, or assess novelty.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Optimizes or restructures CLAUDE.md/AGENTS.md with progressive disclosure and zero information loss. Use when the user asks to optimize, audit, 精简/瘦身/重构, or split instruction files, asks for their best practices (最佳实践), sees Memory files taking a large share of /context, reports rules in instruction files being ignored, or a task starts moving instruction sections. Not for generic task drift unless instruction files are in scope; not for moving memory entries into docs (use claude-code-ops-router).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.