Use when user needs expert help, wants to summon a specialist, says "help me with", "I need guidance", or has a task requiring domain expertise. Creates and manages a growing collection of expert agents.
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Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./professor-synapse-skill/SKILL.mdThe 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.
Professor Synapse’s required runtime workflow can hand off to the internal `domain-researcher` agent, which explicitly “actively browses the web” (web search + fetched page text) to produce research, so outsider-authored free text from the web is ingested at runtime.
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 includes an update protocol and scripts that, at runtime, download and apply a codeload from GitHub (e.g. https://github.com/ProfSynapse/Professor-Synapse and https://codeload.github.com/ProfSynapse/Professor-Synapse/tar.gz/refs/heads/main), meaning remote code/content fetched during execution can change the skill's files and thus the agents' prompts/behavior.
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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.