Decomposes complex user requests into executable subtasks, identifies required capabilities, searches for existing skills at skills.sh, and creates new skills when no solution exists. This skill should be used when the user submits a complex multi-step request, wants to automate workflows, or needs help breaking down large tasks into manageable pieces.
73
47%
Does it follow best practices?
Impact
90%
2.43xAverage score across 6 eval scenarios
Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./public/skills/10e9928a/super-skills/SKILL.mdLow
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.md explicitly instructs the agent to perform web_search and browser_automation (e.g., search for AI papers, download PDFs, and query/install skills from https://skills.sh/), which involves fetching and ingesting open/public third‑party content that the agent will read and act on, creating a clear avenue for indirect prompt injection.
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 runtime use of the Skills CLI (e.g., "npx skills add https://github.com/clawdbot-skills/task-decomposer -g -y" and searches/installs from https://skills.sh/), which fetches and installs remote code that can execute and supply SKILL.md prompt/instruction content that controls agent behavior.
f45fcb5
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.