AgentGuard — security checks for AI agents
OCI · GHCR.IO/SHUAICONGXIAOMAI/AGENTGUARD:0.1.2
Secret, CVE and dependency-vulnerability scanning for AI agents (free, OSV.dev).
Available components
Last scanned (3 hours ago)
Scores higher than 89% of OCI servers
Category Security
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security0
- No malware scan is available for this kind of package: the supply-chain vendors we use do not cover it. This is a permanent gap in our coverage, not a finding about the package.Unverified
- Known CVEs could not be checked: this artifact ships no SBOM or dependency manifest, so there is no dependency list to read.Unverified
- Install-script risk not yet assessed.Unverified
- Dependency health could not be checked: this artifact ships no SBOM or dependency manifest, so there is no dependency list to read.Unverified
Provenance & Transparency32
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- License check failed: no license is declared. See how to fix → Fail
- Actively maintained (last published 125 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability79
- AI-judged instruction clarity (excellent).Pass
- Tool/resource definitions use about 237 tokens (~79/item across 3 items; 3 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 3 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 1 Nov 26 +1
- Stability: 0.97 → pass security
- 31 Oct 26 −1
- Stability: pass → 0.97 functional
- 21 Oct 26 +1
- Stability: 0.97 → pass security
- 20 Oct 26 −1
- Stability: pass → 0.97 functional
- 17 Oct 26 +3
- Stability: 0.83 → pass security
- 15 Oct 26 −3
- Stability: pass → 0.80 functional
- 14 Oct 26 +1
- Stability: 0.97 → pass security
- 12 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 87 to 93. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Analysed oci/ghcr.io/shuaicongxiaomai/agentguard:0.1.2
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | oci |
| Reason | No attestation published |
Background: How many MCP packages publish verified provenance →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
check_cve ~98
Check whether a specific package version has known vulnerabilities (CVEs), with severity and the fixed version. Data from OSV.dev.
| Name | Type | Req | Description |
|---|---|---|---|
| ecosystem | string | yes | Package ecosystem: npm, PyPI, Go, Maven, RubyGems, crates.io, NuGet, Packagist, etc. |
| name | string | yes | Package name. |
| version | string | yes | Exact installed version (e.g. 4.17.20). |
| Name | Type | Req | Description |
|---|---|---|---|
| count | integer | yes | – |
| vulns | null|array | yes | – |
No examples provided.
scan_dependencies ~71
Scan a dependency manifest (go.mod, package.json, or requirements.txt) and report every pinned dependency with known vulnerabilities. Data from OSV.dev.
| Name | Type | Req | Description |
|---|---|---|---|
| content | string | yes | The full contents of the manifest file. |
| manifest_type | string | yes | One of: go.mod, package.json, requirements.txt. |
| Name | Type | Req | Description |
|---|---|---|---|
| count | integer | yes | – |
| vulnerable | null|array | yes | – |
No examples provided.
scan_secrets ~68
Scan text, code, or a diff for hard-coded secrets (API keys, tokens, private keys) before the agent commits, logs, or sends it. Runs locally; values are masked.
| Name | Type | Req | Description |
|---|---|---|---|
| text | string | yes | The text, code, or diff to scan for hard-coded secrets. |
| Name | Type | Req | Description |
|---|---|---|---|
| count | integer | yes | – |
| findings | null|array | yes | – |
No examples provided.
How do I install the AgentGuard — security checks for AI agents MCP server?
AgentGuard — security checks for AI agents runs locally as a container image, launched with docker run --rm -i ghcr.io/shuaicongxiaomai/agentguard:0.1.2. Ready-made configuration for Claude, Cursor, VS Code, Codex and 3 more is on this page, copied from each client's own documentation.
oci · ghcr.io/shuaicongxiaomai/agentguard:0.1.2
claude mcp add shuaicongxiaomai-agentguard -- docker run --rm -i ghcr.io/shuaicongxiaomai/agentguard:0.1.2
What is the AgentGuard — security checks for AI agents MCP server?
AgentGuard — security checks for AI agents is an MCP server listed in the public MCP registry as io.github.shuaicongxiaomai/agentguard. Secret, CVE and dependency-vulnerability scanning for AI agents (free, OSV.dev). This page covers its container image (ghcr.io/shuaicongxiaomai/agentguard:0.1.2).
Is the AgentGuard — security checks for AI agents MCP server safe to use?
AgentGuard — security checks for AI agents scores 53 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the AgentGuard — security checks for AI agents MCP server expose?
AgentGuard — security checks for AI agents exposes 3 tools: check_cve, scan_dependencies, scan_secrets. Their descriptions and schemas cost roughly 237 tokens of context every time the server is loaded.
Is the AgentGuard — security checks for AI agents MCP server still maintained?
AgentGuard — security checks for AI agents is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.