SpecVibe
PassAudited by ClawScan on May 1, 2026.
Overview
SpecVibe is an instruction-only AI development workflow with no code or credential requirements, but users should review generated project changes and be careful when sharing repository context with tools.
This skill is reasonable to use if you want a strict AI-assisted software development workflow. Before installing or invoking it, understand that it may guide the agent to create or modify code, tests, documentation, and deployment configuration. Review all generated changes, keep the spec and plan files clean, and avoid sending secrets or unnecessary private repository content through context-packaging tools.
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.
The agent may propose or make code, test, build, and deployment configuration changes during normal use.
The skill is meant to guide AI-assisted code changes and deployment configuration. This is aligned with its development-framework purpose, but these are impactful project actions.
“Instruct the AI to implement one task at a time” and “Containerize, set up CI/CD pipelines, and implement full observability.”
Review diffs, run tests, and require explicit human approval before accepting CI/CD or deployment-related changes.
A bad or unreviewed spec/plan can keep steering implementation decisions across future tasks.
The framework deliberately reuses persistent project documents as authoritative context. If those files contain incorrect or hostile instructions, later agent outputs may follow them.
“The `spec.md` file captures user journeys, goals, and non-functional requirements. It is the foundational document that guides all subsequent work.”
Keep spec.md and PLAN.md under version control, review changes carefully, and treat third-party project documents as untrusted until checked.
Private source code or secret-containing files could be included in model/tool context if the user applies this advice broadly.
The skill recommends external/context tooling, including an MCP option, to move repository context into prompts. This is useful for AI coding but can include sensitive code or secrets if not filtered.
“Use tools like gitingest, repo2txt, or Context7 MCP to automatically package the relevant parts of your codebase into the prompt.”
Use allowlists and exclusions, never include .env files or keys, and verify tool privacy settings before packaging repository context.