Create a durable visual teaching artifact for something worth learning. Use when the user wants to be taught, wants a deep explainer, wants to understand a substantial change, or wants a work recap built for retention. Not for ordinary Q&A, operational diagnosis, or a concise trade-off that belongs in chat. For learning, not repo docs or verdicts.
70
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Low
Low-risk findings worth noting
Low
Low-risk findings.
2 low severity findings. Worth noting, but not necessarily harmful.
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.
The skill’s runtime “work-recap scout” reads repository Git activity and doc text (git log/commit bodies and project docs) based on a user-supplied time window or since/ diffs, so outsider-provided free text can enter via commit messages/doc contents authored by others and then be ingested at runtime for recap teaching.
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 explicitly instructs at runtime to fetch agent-facing instructions from https://ht-ml.app/llms.txt when no publisher is installed, which is a remote document used to drive the publishing behavior, so it is a runtime external dependency that can control agent instructions.
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