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Skillv1.0.0

ClawScan security

Image To Video In Free · ClawHub's context-aware review of the artifact, metadata, and declared behavior.

Scanner verdict

SuspiciousApr 16, 2026, 5:28 PM
Verdict
suspicious
Confidence
medium
Model
gpt-5-mini
Summary
The skill's high-level purpose (convert images to short videos) matches the network calls and token usage, but the runtime instructions ask the agent to read and persist local config/install paths and there is a metadata mismatch — these inconsistencies deserve caution before installing or granting credentials.
Guidance
This skill mostly does what it says (it talks to a Nemo video-rendering API and uses a NEMO_TOKEN), but before installing or providing credentials consider the following: 1) Metadata mismatch — the registry lists no config paths but the SKILL.md asks to use ~/.config/nemovideo/ and to probe ~/.clawhub/ and ~/.cursor/skills/ to set an X-Skill-Platform header. Ask the author why filesystem access is needed and where session/token data will be stored. 2) Token handling — the skill can generate and use anonymous tokens; confirm whether those tokens are stored persistently and where (disk vs memory). 3) Attribution headers — the skill requires adding local-install-path-derived headers to every request; this reveals local layout info to the remote API. 4) Domain verification — confirm mega-api-prod.nemovideo.ai is the legitimate service you expect and uses HTTPS/TLS. 5) Least privilege — prefer using a scoped, revocable API token or anonymous short-lived token rather than a long-lived secret in your environment. If you cannot verify the service or storage behavior, do not put sensitive credentials in NEMO_TOKEN and consider running this only in a restricted environment or asking the publisher for an explanation and an explicit privacy/persistence statement.

Review Dimensions

Purpose & Capability
okThe skill claims to convert images to videos and all runtime operations target a single external video-rendering API (mega-api-prod.nemovideo.ai) using a service token (NEMO_TOKEN). Requesting an API token for a cloud rendering service is coherent with the stated purpose.
Instruction Scope
concernThe SKILL.md instructs the agent to (a) generate an anonymous token via the service API and treat it as NEMO_TOKEN, (b) create and keep a session_id, and (c) read the skill's YAML frontmatter and probe local paths to determine X-Skill-Platform. Probing install paths and reading/writing session/token state are outside a minimal 'image->video' description and expand the agent's filesystem and persistence scope. The instructions also require adding custom attribution headers on every request and state failed export if they are missing — an operational detail that forces the agent to collect and send local metadata.
Install Mechanism
okNo install step or external packages are specified; this is an instruction-only skill, which minimizes code-on-disk risk.
Credentials
noteThe only declared credential is NEMO_TOKEN (primaryEnv), which is appropriate for a cloud-rendering integration. However, the SKILL.md frontmatter also references a config path (~/.config/nemovideo/) and asks the agent to detect install paths (~/.clawhub/, ~/.cursor/skills/), while the registry metadata showed no required config paths — a mismatch that increases surprise about what local data the skill will access.
Persistence & Privilege
concernThe instructions tell the agent to 'save session_id' and treat an anonymously-created token as NEMO_TOKEN (100 credits, 7-day expiry). There is ambiguity about where and how those tokens/session IDs are stored (in-memory vs written under ~/.config/nemovideo/). The skill is not marked always:true, but the combination of required token handling, session persistence, and filesystem probing raises persistence/privacy concerns.