ultracook
Pass
Audited by Gen Agent Trust Hub on Aug 2, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides logic via a Python zipapp (
scripts/common.pyz) which bundles several utility modules includingcli.py,findings.py, andhandoff.py. This is a standard distribution format for Python command-line tools and no suspicious or malicious behavior was found in the surrounding instructions. - [SAFE]: The prompt templates (e.g.,
curd-prompt.md,spawn-primitive-reference.md) define a structured multi-agent workflow with clear role boundaries and permission enforcement. The system explicitly requires isolated worktrees and fresh contexts for sub-agent tasks, which aligns with security best practices for autonomous agent architectures. - [SAFE]: The skill incorporates a spec decomposition workflow that processes external inputs. An analysis of the indirect prompt injection surface was conducted:
- Ingestion points: User-provided specifications are ingested via the
references/decomposer-prompt.mdtemplate. - Boundary markers: The templates utilize Markdown delimiters and explicit scope constraints (e.g., "Touch ONLY the named file", "Stay inside this behaviour") to separate data from instructions.
- Capability inventory: The workflow utilizes local scripts (
common.pyz) and project tools (/plate) for structured metadata management and quality gate execution. - Sanitization: Output artifacts are validated against defined JSON schemas (
references/manifest-schema.json) to prevent the propagation of malformed or malicious data between workflow phases.
Audit Metadata