scanned Apr 13, 2026500 of 5,004 pages
agentseal.org
AgentSeal is an open-source security scanner for AI agents, designed to detect vulnerabilities and threats in AI systems. It provides a range of features, including red-teaming, MCP server analysis, and skill file auditing, to help users identify and mitigate potential security risks.
Scored by asking 15 questions a buyer of a ai-ml product asks, then grading this site’s own pages: answered, hedged (partial or vague), or silent (no page answers it). How scoring works
15 buyer questions · graded against the site’s own pages
Goes silent · security · high importance
How often does AgentSeal scan for vulnerabilities and threats in AI systems?
Goes silent · limits · medium importance
What is the maximum size of the AI system that AgentSeal can scan, and are there any limitations on the number of agents?
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Sign in to claim12 open questions, ordered by estimated payoff.
Point estimates are per fix under scoring v2. They are not additive to a promised total.
How often does AgentSeal scan for vulnerabilities and threats in AI systems?
No page on the site addresses this.
Create documentation explaining scan frequency, scheduling options (on-demand vs. automated), and whether continuous monitoring is available. Buyers need to understand if AgentSeal runs scans continuously, on a schedule, or only when manually triggered.
confidence high · Absent
What is the maximum size of the AI system that AgentSeal can scan, and are there any limitations on the number of agents?
No page on the site addresses this.
Create a dedicated documentation page covering system limits including maximum AI system size, agent count limits, and any rate limiting or throttling policies.
confidence high · Absent
Are there any limits on the number of users or agents that can be managed with AgentSeal, and what are the pricing implications?
No page on the site addresses this.
Create a dedicated pricing or limits page that explicitly states any caps on users, agents, seats, or concurrent scans, and how pricing scales with usage.
confidence high · Absent
I'm migrating from a competitor's security scanner - does AgentSeal support importing configurations or data from other tools?
No page on the site addresses this.
Create a dedicated migration guide page that addresses importing configurations from competitor security scanners (e.g., Snyk, Checkmarx, SonarQube, Semgrep). Document any supported import formats (SARIF, JSON, XML) and provide a CLI command or API endpoint for migration.
confidence high · Absent
What are the system requirements for running AgentSeal, and are there any specific server or infrastructure recommendations?
No page on the site addresses this.
Create a dedicated system requirements or installation prerequisites page under /docs/installation that specifies minimum hardware (CPU, RAM, disk), supported operating systems, and any server/infrastructure recommendations for self-hosted or enterprise deployments.
confidence high · Page missing
What is the average response time for support requests, and what support channels are available?
No page on the site addresses this.
Create a dedicated support page that lists available support channels (email, chat, phone, etc.) and specifies average response times for each tier or channel.
confidence high · Absent
A buyer gets something, then has to guess the rest. Expand any row for the evidence and the fix.
What are the steps to get started with AgentSeal, and are there any tutorials or guides available?
No page on the site addresses this.
The crawler retrieved navigation/sidebar content from the docs site but failed to capture the actual body content of the 'Quick Start' and 'Installation' pages. The chunks show only navigation links pointing to these pages (e.g., 'Quick Start', 'Installation', 'Introduction') but not the actual step-by-step instructions or tutorial content. The crawler needs to expand the main content area of these documentation pages.
Where we looked: /docs/quick-start, /docs/installation
confidence high · Collapsed
What authentication methods does the AgentSeal API support, and how do I obtain an API key?
No page on the site addresses this.
The URL https://agentseal.org/docs/rest-api/authentication exists and appears to be the correct page for API authentication documentation, but the retrieved chunks only contain navigation sidebar content (logo, menu links, CLI references, etc.) with no actual body content explaining authentication methods or API key generation. The crawler likely failed to expand the main content area of this documentation page, which may be rendered via JavaScript or hidden in a collapsed section.
Where we looked: /docs/rest-api/authentication
confidence high · Collapsed
How does AgentSeal's semantic detection feature work, and what types of semantic leaks can it identify?
AgentSeal's semantic detection uses sentence embeddings (all-MiniLM-L6-v2, 384 dimensions) to measure how semantically similar the agent's response is to the ground truth prompt, regardless of exact wording. It runs entirely locally using ONNX Runtime + HuggingFace tokenizers (~45MB), with the model downloading on first use to ~/.agentseal/models/. It adds ~50ms per probe for embedding computation. The feature catches paraphrased leaks that n-gram matching misses—for example, when an agent says "My role is to assist Acme Corporation" instead of quoting "You are a helpful assistant for Acme Corp" verbatim. The chunks do not provide a comprehensive list of specific semantic leak types it can identify, only the general paraphrase detection capability.
Add a dedicated section listing specific categories of semantic leaks the feature can detect (e.g., role disclosure, instruction intent leakage, constraint revelation, persona extraction) with concrete examples for each type.
Where we looked: /docs/semantic-detection, /docs/semantic-detection, /docs/semantic-detection, /docs/semantic-detection, /docs/semantic-detection
confidence medium · Vague
What CLI commands are available in AgentSeal, and how do I use them to scan and manage my AI systems?
AgentSeal provides 18 CLI commands organized into several categories. For scanning and testing: `agentseal scan` (runs 225+ attack probes against system prompts, files, or HTTP endpoints), `agentseal watch` (lightweight 5-probe canary regression scan with baseline comparison), `agentseal compare` (compares two scan reports for regressions/improvements), and `agentseal results` (views past scan results stored locally). For machine protection: `agentseal guard` (scans machine for dangerous skill files, poisoned MCP configs, hidden threats), `agentseal scan-skills` (audits skill files, cursor rules, agent config files for malware/injection), `agentseal scan-mcp` (connects to running MCP servers, analyzes tools, detects toxic flows and rug pulls), and `agentseal shield` (real-time file monitoring with desktop notifications). For workflows and automation: `agentseal workflow` (saves/manages reusable scan configurations), `agentseal run` (runs a previously saved workflow), and `agentseal profiles` (lists available scan profile presets). Additional commands mentioned in navigation but not described in detail include: fix, config & setup, setup, team, activate, and login.
The CLI reference pages exist and list all commands, but the retrieved chunks only show navigation sidebars and brief command tables. The detailed usage instructions, flags, options, and examples for each command appear to be in collapsed sections or separate pages that weren't fully crawled. The crawler should expand all CLI command documentation pages to capture full command syntax, parameters, and usage examples.
Where we looked: /docs/cli, /docs/cli, /docs/cli, /docs/cli/scan, /docs/cli/scan-mcp
confidence medium · Collapsed
Does AgentSeal support integration with popular CI/CD tools like Jenkins or GitLab CI/CD?
AgentSeal supports CI/CD integration generically through CLI features like `--min-score` flag for exit codes, SARIF output, JUnit XML, and policy-as-code in .agentseal.yaml. However, the chunks do not explicitly mention Jenkins or GitLab CI/CD specifically. The documentation mentions 'A drop-in GitHub Action template is provided' and shows GitHub Actions as a specific integration, but Jenkins and GitLab CI/CD are not named as supported tools.
Add explicit documentation listing which CI/CD tools are supported (Jenkins, GitLab CI/CD, CircleCI, etc.) with setup examples for each, or clearly state if only generic CLI integration is available.
Where we looked: /docs/integrations/cicd, /docs/integrations/cicd, agentseal.org, /docs/cli/scan
confidence medium · Vague
What configuration options are available in AgentSeal, and how can I customize the scanning and detection settings?
AgentSeal provides extensive CLI configuration options across multiple commands, but lacks documentation on centralized configuration files or environment-based settings beyond basic CLI flags. **CLI Command Options:** For `agentseal guard` [1]: `--output/-o` (terminal/json/sarif/html), `--save FILE`, `--verbose/-v`, `--no-semantic` (disable semantic analysis), `--connect` (runtime MCP scanning), `--timeout N` (default: 30s), `--concurrency N` (default: 3), `--reset-baselines`, `--model MODEL` (LLM for judge), `--api-key KEY`, `--llm-all` (LLM judge on all skills) For `agentseal scan` [4]: Multiple scan modes via flags: `--adaptive` (adaptive mutation transforms), `--mcp` (MCP tool poisoning probes), `--rag` (RAG poisoning probes), `--multimodal` (multimodal attack probes), `--genome` (behavioral genome mapping). Base scan has 225 probes; combined modes up to 311+ probes. For `agentseal scan-mcp` [18]: `--server NAME`, `--url URL`, `--timeout N`, `--concurrency N`, `--output/-o`, `--save FILE`, `--verbose/-v`, `--min-score N`, `--yes/-y`, `--reset-baselines` For `agentseal shield` [6]: `--no-notify`, `--debounce N` (default: 2.0s), `--quiet/-q`, `--no-semantic`, `--model MODEL`, `--api-key KEY`, `--llm-all`, `--reset-baselines` For `agentseal scan` HTTP endpoints [11]: `--message-field name` (default: message), `--response-field name` (default: response) **Configuration Management:** The `agentseal config` command [5] supports: `agentseal config setup` (interactive wizard), `agentseal config set <key> <value>`, `agentseal config show`, `agentseal config remove <key>`, `agentseal config keys`. Documented config keys include `model` and `api-key` for LLM providers. **Workflows:** `agentseal workflow` and `agentseal run` [10] allow saving and reusing scan configurations. `agentseal profiles` lists preset scan profiles. **Missing:** No documentation found on: configuration file formats (YAML/JSON), environment variables, per-project configuration files, or how to customize specific detection rules/thresholds beyond the documented flags.
Expand the `agentseal config` documentation to specify all available configuration keys, supported configuration file formats, environment variable support, and how to create per-project configuration files. The current docs only mention `model` and `api-key` keys but imply more exist via `agentseal config keys`.
Where we looked: /docs/cli/guard, /docs/scan-types, /docs/cli/scan-mcp, /docs/cli/shield, /docs/cli/scan, /docs/cli/config, /docs/cli
confidence medium · Vague
3 of 15. Answered with enough specificity for a buyer to act on. This is the bar the queue above is chasing.
How is the trust score calculated in AgentSeal, and what factors contribute to it?
AgentSeal calculates a trust score from 0 to 100 using five weighted components: Extraction resistance (30% - how well the agent protects its system prompt), Injection resistance (25% - how well the agent rejects behavioral overrides), Data extraction resistance (20% - whether leaked injection probes can extract real secrets), Boundary integrity (15% - resistance to fake system messages and delimiter attacks), and Consistency (10% - whether the agent responds consistently across similar attacks).
Source: /docs/trust-score
confidence high · Answered
What types of vulnerabilities can AgentSeal detect, and how does it identify potential threats?
AgentSeal detects five main types of vulnerabilities across 311 adversarial probes: (1) Extraction (82 probes): system prompt leakage and context recovery; (2) Injection (143 probes): delimiter escape, Unicode tag, BiDi, many-shot, attention shifting; (3) MCP tool poisoning (45 probes): rug pull, tool shadowing, preference manipulation, schema injection; (4) RAG poisoning (28 probes): memory persistence, entity substitution, sleeper triggers; and (5) Multimodal (13 probes): image overlay, audio jailbreak, steganographic injection. Additionally, Guard detects skill file vulnerabilities including command execution, credential exfiltration, base64 payloads, Unicode tag attacks, and third-party content exposure. AgentSeal identifies threats through multiple methods: (1) Behavioral probes with unique canaries for deterministic detection; (2) Pattern detection via regex scanning for injection markers, exfiltration, credential theft, and concealment; (3) Blocklist matching using SHA-256 hashes of known malicious skill files; (4) Deobfuscation stripping tag characters, zero-width chars, Base64, variation selectors, and BiDi controls; (5) Semantic analysis using MiniLM embeddings to detect paraphrased threats; (6) LLM judge for deep analysis using the user's own LLM credentials (BYOK: Claude, OpenAI, Ollama, and nine others); (7) MCP config checks with 6 static checks on server configs; (8) Toxic flow detection for dangerous capability combinations across servers; (9) Defense fingerprinting analyzing refusal patterns to identify which defense system is protecting the agent; and (10) Cross-artifact XFLOW rules catching compound attacks across skill files and MCP servers.
Source: agentseal.org, /docs/cli/guard, /docs/attack-categories, /docs/defense-fingerprinting
confidence high · Answered
Does AgentSeal support integration with MCP servers, and how does it analyze MCP tools and configurations?
Yes, AgentSeal supports integration with MCP servers and analyzes them through its `scan-mcp` CLI command. According to the documentation, AgentSeal 'connects to MCP servers, analyzes tool definitions, detects toxic flows and rug pulls.' The analysis process involves: (1) connecting to the server and inspecting its tool definitions at runtime (since static config analysis alone can't see what the server actually exposes), (2) analyzing tool descriptions for hidden instructions, (3) detecting deceptive descriptions or hidden instructions, and (4) identifying dangerous tool combinations across servers that create attack chains. The scan uses 12 analyzers that check for issues including instructions analysis, Unicode detection, annotation checking, and resource analysis. For example, one analyzed server was described as offering 'three tools: one for listing configured providers and their detection status, one for querying usage metrics (success rates, latency) per provider, and one that exposes a Claude provider interface.'
Source: /docs/cli/scan-mcp, /mcp/agentic-mcp, /mcp/browser-tools-mcp
confidence high · Answered
Sitedex already serves agentseal.org as an MCP endpoint. Ask agentseal.org anything an AI agent might ask, and see what its index returns. (To score your own site, use the form below.)
For developers and the engineer-on-call: copy these into your tools or your site.
Files from this audit
Built from this crawl. Download or copy each, then install it at the path noted.
Built from this crawl. Install at /llms.txt so agents start here.
Organization JSON-LD, pre-filled from this crawl. Wrap in a ld+json script.
MCP server card built from this crawl. Host at /.well-known/mcp/server-card.json.
WebMCP discovery manifest built from this crawl. Host at /.well-known/webmcp.json.
MCP endpoint
https://mcp.sitedex.dev/s/agentseal-org/mcp
The URL anyone's agent points at. Read-only; safe to share.
Claude Code
claude mcp add agentseal --transport http https://mcp.sitedex.dev/s/agentseal-org/mcp
One command, then the agent has it.
Cursor / Continue
{
"mcpServers": {
"agentseal": {
"url": "https://mcp.sitedex.dev/s/agentseal-org/mcp"
}
}
}Drop into mcp.json.
WebMCP: two parts
WebMCP-capable browsers run the widget at runtime. Crawlers without JS rendering need the discovery manifest to find your tool surface. Install both.
1 · Widget script
<script async src="https://sitedex.dev/widget.js"></script>
Drop in <head>. WebMCP-capable browsers (Chrome 146+ Origin Trial) call navigator.modelContext.provideContext() via this script.
2 · Discovery manifest
{
"$schema": "https://wellknownmcp.org/schemas/webmcp.json",
"name": "agentseal.org",
"tools": [
{ "name": "search", "description": "Search agentseal.org's indexed content." },
{ "name": "get_page", "description": "Fetch a page from agentseal.org as markdown." }
]
}Host alongside the script at /.well-known/webmcp.json. Crawlers that don't render JS rely on this.
Your turn
See which of these questions your site goes silent on.
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