competition-agent-cloud
CommunityTrace prompt-to-tool flows and provenance.
System Documentation
What problem does it solve?
This skill analyzes and traces the end-to-end flow of prompts, tools, and cloud-based components to uncover prompt-injection risks, provenance gaps, and deployment drift within sandboxed AI workflows.
Core Features & Use Cases
- Downstream specialization after sandbox orchestration to assess prompt-to-tool interactions and evidence provenance.
- Evaluate prompt-injection, retrieval poisoning, and deployment drift across cloud, container, and CI/CD layers.
- Capture compact evidence blocks including prompts, tool arguments, manifests, mounts, and provenance steps for auditing.
Quick Start
Decide whether the dominant path is agentic or infrastructure-driven, map a minimal control chain from untrusted input to a tool or deployment side effect, distinguish checked-in intent from live runtime truth, keep prompts and provenance steps in compact evidence blocks, and reproduce the exploit or misconfiguration with minimal context.
Dependency Matrix
Required Modules
None requiredComponents
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: competition-agent-cloud Download link: https://github.com/xjtu-wang/DigAgent/archive/main.zip#competition-agent-cloud Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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