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datadog

Use when the user says "check Datadog", "查 Datadog", "查日志", "check logs", "crash logs", "查 crash", "gateway crash", "查告警", "check alerts", "check metrics", or needs to investigate production issues via Datadog Logs API.

76

Quality

95%

Does it follow best practices?

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SecuritybySnyk

High

Do not use without reviewing

SKILL.md
Quality
Evals
Security

Security

1 high severity finding. You should review these findings carefully before considering using this skill.

High

W007: Insecure credential handling detected in skill instructions.

What this means

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.

Why it was flagged

The skill explicitly instructs the agent to ask the user for sensitive Datadog API and application keys and to use them in API calls (even if via shell variables), which requires collecting secrets into the agent's context and risks verbatim handling/exfiltration.

Report incorrect finding

Low

Low-risk findings.

1 low severity finding. Worth noting, but not necessarily harmful.

Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.

Why it was flagged

SKILL.md’s required workflow calls the Datadog Logs API at runtime and then uses the response (`curl ... | python3 -c ...`) to extract and print `message`/stderr content into the agent context, where log messages are outsider-authored (emitted by other systems/users/services) and may contain injection text.

Repository
nexu-io/nexu
Audited
Security analysis
Snyk

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