ai-news-pipeline-new
Analysis
The skill coherently implements a disclosed RSS-to-report workflow, with expected local file writes, optional API credential use, and dependency installation that users should review.
Findings (3)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
Checks for instructions or behavior that redirect the agent, misuse tools, execute unexpected code, cascade across systems, exploit user trust, or continue outside the intended task.
openpyxl python-docx
The dependency file lists packages without version pins; SKILL.md instructs installing dependencies from this file before first use, so package resolution depends on the user's package index and environment.
Checks whether tool use, credentials, dependencies, identity, account access, or inter-agent boundaries are broader than the stated purpose.
ARK_API_KEY = os.getenv("ARK_API_KEY", "").strip() ... "Authorization": f"Bearer {ARK_API_KEY}"The script reads a user-provided model API key and sends it as a bearer token to the configured ARK model endpoint. This is expected for AI summary generation and no hardcoded or unrelated credential use is shown.
Checks for exposed credentials, poisoned memory or context, unclear communication boundaries, or sensitive data that could leave the user's control.
reading user-configured RSS / Atom feeds ... calling a user-configured Volcengine model endpoint ... store raw and incremental collected news data; persist deduplication state
The workflow stores retrieved feed content and uses it as model context for generated summaries and scores. This is disclosed and purpose-aligned, but report quality depends on the trustworthiness of configured feeds.
