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Install in OpenClaw
/install skvm-jit
Description
Trigger `skvm jit-optimize` with post-task evidence so it generates a reviewable optimization proposal for a skill. Use after finishing a task that was drive...
Usage Guidance
This skill is an on-demand helper that tells the agent how to run your local `skvm jit-optimize` against a skill folder and a short report. Before using it: (1) confirm you have the `skvm` CLI installed and accessible to the agent, (2) ensure any model-provider credentials `skvm` needs (for example OpenRouter API keys) are already configured outside the skill, (3) review and redact any secrets from logs per the instructions, and (4) only run this when the task used a disk-backed skill and you want an automated optimization proposal. If you cannot or do not want the agent to probe the listed skill directories, provide the exact skill path when prompted instead of letting it search automatically.
Capability Analysis
Type: OpenClaw Skill
Name: skvm-jit
Version: 0.1.0
The skill facilitates 'JIT optimization' of AI agent skills by executing shell commands (`skvm jit-optimize`) and performing broad file system discovery across various sensitive directories (e.g., `~/.claude/skills`, `~/.hermes/skills`). It collects conversation logs and transmits them to an external LLM provider (OpenRouter) for analysis. While these actions are aligned with the stated purpose of improving skill performance, the combination of shell execution, cross-application file access, and data transmission (logs) constitutes a high-risk profile. Additionally, the documentation references a `curl | sh` installation pattern for the underlying `skvm` tool (IOC: skillvm.ai).
Capability Tags
Capability Assessment
Purpose & Capability
The name/description match the instructions: the skill tells the agent how to locate a skill folder, prepare a structured failure/trace report, and call `skvm jit-optimize`. It does not request unrelated binaries, credentials, or config paths.
Instruction Scope
Runtime instructions stay on-task: locating SKILL.md files in well-known adapter paths, building a JSON or JSONL report, redacting secrets, and invoking `skvm jit-optimize --detach` with explicit arguments. The instructions explicitly avoid guessing paths and warn not to run in bench flows. They do not instruct reading arbitrary user files or environment variables beyond locating skill directories.
Install Mechanism
This is instruction-only with no install spec or code to download, so nothing is written to disk by the skill itself. The only external dependency is the expectation that a local `skvm` CLI is available; that is reasonable for a helper that drives the CLI.
Credentials
The skill does not request environment variables or credentials. One practical caveat: the chosen optimizer-model (example: openrouter/z-ai/glm-5.1) implies the optimizer process may make outbound network calls and may require the user's model-provider API key/configuration (e.g., OpenRouter credentials) for `skvm` to work. That requirement is plausible but not declared in the skill metadata — the user should ensure their `skvm` installation and model credentials are configured beforehand.
Persistence & Privilege
The skill is not always-loaded and does not request elevated presence. It does not attempt to modify other skills or system-wide agent settings; it instructs spawning a background optimizer but that is standard for a CLI-driven optimization flow.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install skvm-jit - After installation, invoke the skill by name or use
/skvm-jit - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
initial release
Metadata
Frequently Asked Questions
What is SkVM JIT Optimize Trigger?
Trigger `skvm jit-optimize` with post-task evidence so it generates a reviewable optimization proposal for a skill. Use after finishing a task that was drive... It is an AI Agent Skill for Claude Code / OpenClaw, with 86 downloads so far.
How do I install SkVM JIT Optimize Trigger?
Run "/install skvm-jit" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is SkVM JIT Optimize Trigger free?
Yes, SkVM JIT Optimize Trigger is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does SkVM JIT Optimize Trigger support?
SkVM JIT Optimize Trigger is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created SkVM JIT Optimize Trigger?
It is built and maintained by Le Chen (@lec77); the current version is v0.1.0.
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