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SkillSpector OpenCode Extension

SkillSpector can be installed into OpenCode as a local extension. The extension registers a skillspector_scan tool and a /skillspector slash command that run the existing SkillSpector CLI.

Requirements

  • OpenCode installed.
  • Python >=3.12,<3.15.
  • uv recommended.
  • This repo checked out locally.
  • Node 22+ to run the extension unit tests (type stripping, no extra dependencies).

Install

Copy this repo's .opencode/ directory into your project (or ~/.config/opencode/ for global use):

cp -r /path/to/SkillSpector/.opencode /path/to/my-project/

Make sure skillspector is on PATH, or point SKILLSPECTOR_BIN at the binary:

export SKILLSPECTOR_BIN=/path/to/SkillSpector/.venv/bin/skillspector

Then reload OpenCode or start a new session; /skillspector is auto-discovered.

Basic scan

In OpenCode:

/skillspector ./my-skill

Equivalent CLI (static analysis only):

skillspector scan ./my-skill --no-llm

Before starting the CLI, the tool asks OpenCode for the capabilities used by that invocation: target reads (and remote fetches), report writes, external paths, and the CLI subprocess. A denied request stops the invocation before the subprocess starts.

Tool parameters

  • target: path, URL, zip, Git repo, or SKILL.md to scan.
  • format: terminal, json, markdown, or sarif. Default: json.
  • output: optional report path.
  • noLlm: default true.

Unlike the Pi extension, this tool has no provider, model, yaraRulesDir, or verbose parameters: LLM-backed analysis is configured through the environment instead (see below).

LLM-backed analysis

Static scan is default. To use semantic LLM analysis, configure a supported provider before launching OpenCode, then call the tool with noLlm false. The tool makes a separate permission request naming the provider, model, and credential-free destination before analyzer-eligible skill content can leave the host:

Use skillspector_scan on ./my-skill with noLlm=false.

export SKILLSPECTOR_PROVIDER=nv_build
export NVIDIA_INFERENCE_KEY=nvapi-...
# Optional; omit to use nv_build's bundled default model.
# export SKILLSPECTOR_MODEL=z-ai/glm-5.2

Other valid providers and their credential variables are listed in the main LLM Analysis table. The extension passes the environment to the existing SkillSpector CLI, but never puts credentials in a permission request. Model-visible output is bounded and redacts the supported provider credential values and names.

Unit tests

Pure tool helpers live in dependency-free .opencode/tools/skillspector_scan_lib.ts, covered by tests/opencode/skillspector_scan_lib.test.ts via stdlib node --test (zero new dependencies):

node --test tests/opencode/skillspector_scan_lib.test.ts

Remove

Delete the copied .opencode/tools/skillspector_scan.* and .opencode/commands/skillspector.md files.