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Choose the right WeKnora command to answer questions from a knowledge base or retrieve source passages. Covers cited answers, custom agents, document searches, and continuing a conversation through the command-line tool.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Ask questions with citations from a knowledge base
• Retrieve source passages for further analysis
• Find documents by title or filename

Use the weknora CLI to manage knowledge bases and documents, search stored material, and ask questions grounded in it. This shared guide covers authentication, structured JSON results, error handling, and previews of changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up authentication for a WeKnora server
• Managing knowledge bases and uploaded documents
• Searching stored material and asking questions about it

Extract text and tables from PDFs, fill form fields with supplied data, and merge documents. Includes a pdfplumber text extraction example and scripts for inspecting form fields and extracting text.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting text from PDF pages
• Retrieving tables from PDF documents
• Filling PDF forms with supplied data

Use the bsk command-line tool and browser extension to automate logged-in Chromium. Read pages, complete forms, export tables or lists as JSON or CSV, manage tabs, test interfaces, and investigate website failures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reading pages with an existing browser login
• Exporting tables or lists as JSON or CSV
• Filling forms and managing browser tabs

Automate a logged-in Chromium browser using the plugin’s injected tools. Read pages, fill forms, manage tabs, inspect page activity, and investigate website problems or test interfaces while working with the user’s existing browser logins.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reading pages that use an existing browser login
• Filling forms and navigating between tabs
• Investigating website errors and page activity

Test whether instructions planted in an agent's long-term memory or searchable knowledge base influence later behavior. Verify both a stored test marker and a resulting change in answers, permissions, or treatment of retrieved documents.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether stored instructions affect later conversations
• Testing whether planted documents become trusted answers
• Reviewing permission changes caused by saved conversation summaries

Check how an agent handles file saves, uploads and archive extraction. Test whether user supplied paths can escape the intended directory, then report confirmed unsafe handling with response evidence and suggested safeguards.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether file saves stay within the intended directory
• Reviewing how uploaded filenames are handled
• Testing archive extraction paths

Probe AI agents through dialogue to check for unexpected command execution, file access outside intended paths, and prompted network requests. It selects tests based on available tools and records confirmed behavior with conversation evidence and mitigation suggestions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking agents that can run commands or code
• Testing file access beyond intended directories
• Checking whether prompts trigger URL requests

Review agent skills before installation or during use by inspecting their files without running code. Local checks identify risks such as credential theft, permission abuse, and differences between stated purpose and actual behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a skill before installation
• Auditing all installed skills on an agent platform
• Checking whether code matches the stated purpose

Tests communication between collaborating AI agents for private data exposure, impersonation, unsafe message channels, and unauthorized access to privileged tools. It records confirmed problems with conversation evidence, potential impact, and suggested security measures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking for private data leaks between agents
• Testing agent impersonation and message boundary bypasses
• Reviewing message encryption and shared log exposure

Test whether an AI agent reveals sensitive information through progressively stronger dialogue prompts. Check API keys, personal data, system instructions, and internal settings, then report findings only when sensitive content is actually accessible.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check for API key and credential leaks
• Test exposure of system instructions
• Inspect personal data and internal settings

Tests whether an AI agent accepts unverified plugins, tools, models, or updates. It checks risks introduced through external dependencies, including unsafe installation sources and missing version controls, and reports confirmed findings with conversation evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking acceptance of plugins and tools from unknown sources
• Reviewing dependency version pinning and integrity checks
• Testing validation of user-supplied tool manifests

Organize AI agent security findings using the ten OWASP ASI risk categories. Map issues such as leaked credentials or unauthorized tool calls to category IDs, and assign severity levels with suggested remediation timeframes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Classify AI agent security findings
• Assign categories to leaks and unauthorized tool calls
• Organize findings from multiple detection skills

Test whether a browsing AI agent follows fake security verification instructions that expose stored personal information through URL paths. Examine chained navigation, memory disclosure, and constructed URLs, then document confirmed findings with evidence and mitigation suggestions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Test a browsing agent's handling of malicious page instructions
• Check whether stored personal data appears in URL paths
• Inspect compliance with fake security verification pages

Turn a supplied PDF into a concise summary of three to five bullet points. The skill reads the document text, identifies its main sections and topics, and selects the key ideas to include.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Get an overview of a PDF
• Condense document highlights into three to five bullets
• Review the main topics before reading in detail

Assess AI products, agents, MCP servers, and skill packages through authorized security testing. It models access boundaries, tests injection and tool misuse, and produces evidence-based reports with business impact, defensive successes, and concrete remediation steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assessing an AI agent before release
• Testing prompt injection and tool misuse
• Auditing skill packages, plugins, and MCP servers

Check whether a single tool outage, invalid input, or repeated retry can disrupt an entire agent workflow. Use dialogue tests to identify spreading errors, missing fallbacks, and uncontrolled retries, then document confirmed findings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking workflow behavior when a required API is unavailable
• Testing whether invalid data spreads between processing steps
• Reviewing retry limits and fallback behavior

Submit security scans for AI services, tools, skills, and agents through AI-Infra-Guard, then retrieve progress and results. It also supports jailbreak evaluation, testing whether prompts can bypass a model’s safety restrictions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Scanning AI services for known vulnerabilities
• Auditing MCP tools and skill source packages
• Checking agents from saved settings or YAML files

Tests whether user messages can override an AI agent’s instructions or impersonate a higher authority. It checks for exposed internal instructions and changed behavior, then reports confirmed findings with prompts and responses as evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Testing resistance to direct instruction overrides
• Checking for exposed system or developer instructions
• Checking behavior changes caused by role impersonation

Test whether instructions hidden in simulated documents, retrieved passages, or web pages can redirect an agent. The skill checks for unwanted behavior or sensitive disclosures and reports confirmed failures with the test dialogue as evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Testing resistance to instructions embedded in uploaded documents
• Checking retrieved passages used to answer questions
• Evaluating hidden instructions in web page content

Test whether an AI agent executes commands hidden in user input, evaluates untrusted code, or runs scripts from unverified sources. Record confirmed weaknesses with the test conversation, potential impact, and suggested safeguards.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking command injection in shell-enabled agents
• Testing whether user input is executed as code
• Reviewing how agents load remote scripts

Test whether an AI agent reveals another user's data or performs actions beyond the caller's permissions. Dialogue probes cover access across users or organizations, admin functions, and attempts to gain higher privileges without authorization.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking access to other users' or organizations' data
• Testing permission checks on admin-only actions
• Checking whether dialogue claims grant higher privileges

Test whether an agent misuses user trust by requesting secrets, making false safety guarantees, recommending unsafe actions, or impersonating authority. Confirmed issues are recorded with dialogue evidence, potential impact, and suggested improvements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Testing whether an agent requests passwords or private keys
• Checking for misleading safety guarantees
• Reviewing advice that could lead to unsafe operations

Test whether an AI agent stores hostile instructions in persistent memory and follows them later. The skill uses marked test instructions and follow-up dialogue to document storage confirmations or changes in subsequent responses.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking instruction handling in long-term memory
• Testing agents with profiles or persistent notes
• Verifying whether stored instructions affect later replies