FLOW framework integration for bloggers. Evidence-led content workflow using the Find, Optimize, Win loop with stage-specific AI prompts from the FLOW knowledge base (30 blog-applicable prompts, CC BY 4.0). Use when user says "FLOW", "FLOW framework", "blog flow", "evidence-led blogging", "find optimize win", or wants stage-specific blog prompts.
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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.
On `/blog flow find/optimize/win`, the outsider-supplied `[topic|url]` argument and any conversation “prior skill output” are fed into the stage prompt files for selection and generation (e.g., `/blog flow find [topic|url]` loads `references/prompts/find/*` and applies them to the provided topic/URL).
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's sync script (scripts/sync_flow.py) fetches prompt files at runtime from the upstream FLOW repository (github.com/AgriciDaniel/flow — referenced as https://github.com/AgriciDaniel/flow) and those fetched prompt files directly control the agent's prompts, creating a required runtime external dependency.
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