Java OpenTelemetry style for Maple: zero-code Java agent or manual SDK with OTLP HTTP exporters, inline endpoint + ingest key, semconv resource attributes, OTLP-bridged Logback / SLF4J logs.
65
77%
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Critical
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tessl review fix ./skills/maple-java-style/SKILL.mdSecurity
3 findings: 1 critical severity, 1 high severity, 1 medium severity. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.
Detected high-risk code patterns in the skill content — including its prompts, tool definitions, and resources — such as data exfiltration, backdoors, remote code execution, credential theft, system compromise, supply chain attacks, and obfuscation techniques.
This content configures automatic export of traces/logs/metrics (including VCS and environment data) to an external ingest endpoint and explicitly advises inlining authorization keys, creating a strong potential for unauthorized data exfiltration and credential exposure.
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
The prompt instructs replacing the placeholder ingest key (MAPLE_TEST) and inlining it into JVM args and Java source (headers/variables), which requires the model to emit secret values verbatim in commands or code.
The skill prompts the agent to compromise the security or integrity of the user’s machine by modifying system-level services or configurations, such as obtaining elevated privileges, altering startup scripts, or changing system-wide settings.
The skill explicitly tells the user to keep JVM args inline in deployment artifacts including "systemd unit", which directs modifying systemctl/service files (a privileged, system state–changing action).
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The skill fetches and then executes a remote Java agent jar at runtime (curl to https://github.com/open-telemetry/opentelemetry-java-instrumentation/releases/latest/download/opentelemetry-javaagent.jar and used via -javaagent), which downloads and runs remote code in the JVM.
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