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macstenk

Skill Exporter

by MacStenk · GitHub ↗ · v1.0.0
cross-platform ✓ Security Clean
1936
Downloads
1
Stars
3
Active Installs
1
Versions
Install in OpenClaw
/install skill-exporter
Description
Export Clawdbot skills as standalone, deployable microservices. Use when you want to dockerize a skill, deploy it to Railway or Fly.io, or create an independent API service. Generates Dockerfile, FastAPI wrapper, requirements.txt, deployment configs, and optional LLM client integration.
Usage Guidance
This exporter appears to do what it says, but review the generated service before deploying. Specific suggestions: (1) inspect generated api.py for the wide-open CORS policy and adjust or add authentication if the service will be public; (2) review any subprocess calls and copied scripts to ensure they don't run unsafe commands or expect secrets embedded in code; (3) the exporter will detect and surface environment variable NAMES from the source skill and create a .env.example — do not put real secret values into the source skill's .env when running the exporter (work on a sanitized copy) and do not commit .env with secrets to source control; (4) if you enable --llm you will need to provide provider API keys at runtime — only supply keys you trust and scope them appropriately; and (5) test the generated docker image locally before deploying to Railway/Fly or exposing it to the internet.
Capability Analysis
Type: OpenClaw Skill Name: skill-exporter Version: 1.0.0 The skill-exporter is designed to transform existing Clawdbot skills into standalone microservices. The `SKILL.md` provides clear, benign instructions for its use and does not contain any prompt injection attempts. The `scripts/export.py` script performs file system operations (reading source skill files, writing generated service files, copying scripts) and analyzes the source skill's code to infer dependencies and environment variables. These actions are all directly aligned with its stated purpose of code generation and packaging. There is no evidence of intentional harmful behavior such as data exfiltration, unauthorized execution, persistence mechanisms, or obfuscation within the exporter skill itself. The potential for a *generated* service to be risky depends on the *input skill* it processes, not on the exporter skill's inherent maliciousness.
Capability Assessment
Purpose & Capability
Name/description match what the files do: scripts/export.py reads a local skill directory and emits Dockerfile, FastAPI wrapper, requirements, llm client stubs, and copies the skill scripts. Required binary (python3) is appropriate and no unrelated external credentials or binaries are requested.
Instruction Scope
SKILL.md instructs running export.py against a local skill path; export.py reads SKILL.md, scripts/, and .env (if present) from the source skill to detect metadata, env var names, and imports. It does not appear to execute or import the target scripts, but it will copy them into the output service. The generated api.py template allows CORS for all origins and includes subprocess usage — acceptable for a generic wrapper but worth reviewing if you plan to deploy publicly.
Install Mechanism
No install spec — this is instruction + a generator script. There are no downloads or extracted archives in the skill itself, so there is no installer risk from this package.
Credentials
The exporter itself doesn't require any credentials. When you request LLM integration (--llm), the generated llm_client files expect standard provider API keys (ANTHROPIC_API_KEY / OPENAI_API_KEY) in the runtime environment — this is proportional to optional LLM functionality. The exporter scans for env var NAMES in the source skill and .env to populate .env.example, but it does not appear to exfiltrate secret VALUES.
Persistence & Privilege
always is false and the skill doesn't request persistent platform privileges. The tool writes files to the chosen output directory and marks copied scripts executable; it does not modify other skills or global agent configuration.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install skill-exporter
  3. After installation, invoke the skill by name or use /skill-exporter
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of skill-exporter: easily convert Clawdbot skills into deployable microservices. - Export any Clawdbot skill as a standalone FastAPI microservice, ready for Docker, Railway, or Fly.io deployment. - Automatically generates Dockerfile, deployment configs, FastAPI wrapper, requirements.txt, and environment files. - Optional LLM client integration (Anthropic/OpenAI) for adding automated captioning or decision logic. - Supports custom export options: target platform, API port, and output directory. - Ensures compatibility by requiring SKILL.md frontmatter and callable skill scripts.
Metadata
Slug skill-exporter
Version 1.0.0
License
All-time Installs 3
Active Installs 3
Total Versions 1
Frequently Asked Questions

What is Skill Exporter?

Export Clawdbot skills as standalone, deployable microservices. Use when you want to dockerize a skill, deploy it to Railway or Fly.io, or create an independent API service. Generates Dockerfile, FastAPI wrapper, requirements.txt, deployment configs, and optional LLM client integration. It is an AI Agent Skill for Claude Code / OpenClaw, with 1936 downloads so far.

How do I install Skill Exporter?

Run "/install skill-exporter" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Skill Exporter free?

Yes, Skill Exporter is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Skill Exporter support?

Skill Exporter is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Skill Exporter?

It is built and maintained by MacStenk (@macstenk); the current version is v1.0.0.

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