azure-storage-blob-java
Verdict safe, but 5 findings (5 low), mainly data exfiltration, policy violation, social engineering. Most recent scan 2026-02-05.
This skill is a documentation-only reference for the Azure Storage Blob SDK for Java. It contains no executable code, no scripts, and no malicious patterns. The skill provides legitimate code examples and API documentation for working with Azure Blob Storage in Java applications. All identified issues are LOW severity and relate to missing optional metadata fields and incomplete documentation artifacts. There are no security threats such as data exfiltration, prompt injection, credential theft, or command injection. The skill appears to be a safe, informational resource for developers working with Azure Blob Storage.
Scanner's overall assessment (LLM analyzer)
Second scanner: NVIDIA SkillSpector
SkillSpector found no issues but could not fully inspect the package, usually because SKILL.md refers to a file that is not present, so it fails closed to CAUTION instead of SAFE. Read it as "not fully checked", not as a finding. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Build blob storage applications with Azure Storage Blob SDK for Java. Use when uploading, downloading, or managing files in Azure Blob Storage, working with containers, or implementing streaming data operations.
- Package
- 3 files, 33 KB
- SKILL.md
- 763 words, 12+ sections
- Code
- None. Instructions only.
SKILL.md covers: Azure Storage Blob SDK for Java · Installation · Client Creation · BlobServiceClient · With DefaultAzureCredential · BlobContainerClient · BlobClient · Core Patterns · Create Container · Upload Data · Upload from File · Upload from Stream
Findings
LOW Skill does not specify a license Policy Violationstatic
Skill manifest does not include a 'license' field. Specifying a license helps users understand usage terms.
SKILL.md
LOW Missing License Information Data Exfiltrationllm
The skill does not specify a license in the YAML manifest. While not a direct security threat, this creates legal ambiguity about usage rights and redistribution, which could expose users to intellectual property risks.
SKILL.md
license: Not specifiedLOW Missing Compatibility Information Social Engineeringllm
The skill does not declare compatibility information (e.g., which Claude environments it works in). This is informational metadata that helps users understand where the skill can be used.
SKILL.md
compatibility: Not specifiedLOW Missing allowed-tools Declaration Unauthorized Tool Usellm
The skill does not specify allowed-tools in the manifest. While this field is optional per the agent skills specification, declaring it helps users understand which agent capabilities the skill requires and provides transparency about tool usage.
SKILL.md
allowed-tools: Not specifiedLOW Referenced Files Not Found in Package Data Exfiltrationllm
The skill instructions reference three Python files (File.py, Stream.py, URL.py) that are not included in the skill package. These appear to be incomplete documentation artifacts rather than actual code files. While not a security threat, this indicates incomplete or malformed skill packaging.
SKILL.md
Files referenced in instructions: File.py, Stream.py, URL.py - all marked as 'not found'What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 9.8 KB |
references/acceptance-criteria.md | doc | 12 KB |
references/examples.md | doc | 11 KB |
External hosts referenced
github.com
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Environment variables referenced
AZURE_STORAGE_ACCOUNT_URL AZURE_STORAGE_ACCOUNT_KEY AZURE_STORAGE_ACCOUNT_NAME
Package contents recorded 2026-10-22 at commit cfbcbbdc679c. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Llm analyzer. A language model reads the skill and reports intent-level issues the rules cannot express.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
- Meta analyzer. A second model pass that validates, deduplicates and re-scores the other analyzers' findings.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/microsoft/agent-skills
- Raw scan result: github-skills-azure-storage-blob-java-scan.json
- Badge for your README:
- Request a re-scan