Python OpenTelemetry style for Maple: module-scope tracers/meters, decorators for bounded work, error spans, OTLP-bridged logs via LoggingHandler + LoggingInstrumentor, inline endpoint + ingest key, and no helper-API wrappers.
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tessl review fix ./skills/maple-python-style/SKILL.mdSecurity
2 findings: 1 critical severity, 1 high 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.
The code configures telemetry exporters that send logs, traces, and metrics (including tenant IDs and environment/Git metadata) to an external ingest endpoint and explicitly recommends inlining the ingest key in source, which constitutes intentional 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 skill explicitly instructs developers to inline the ingest key into source (and shows MAPLE_KEY and an Authorization header), which requires placing secret values verbatim in code/output and thus creates an exfiltration risk.
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