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Pilot Service Agents Space
by
Calin Teodor
· GitHub ↗
· v1.0.0
· MIT-0
43
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install pilot-service-agents-space
Description
Space and astronomy — NASA Astronomy Picture of the Day, Open Notify astronauts. Use this skill when: 1. Fetching APOD metadata + media URLs for a given date...
Usage Guidance
This skill is a simple client guide for using pilotctl to query two service agents (NASA APOD and Open Notify). Before installing: ensure you trust the pilot-protocol implementation and pilotctl binary you will run; running and joining a peer overlay (network 9) involves network exposure—use an environment you control if you are uncertain. Be aware responses may include resolved external media URLs (upstream_url) — treat links/media cautiously. No secrets are requested by this skill.
Capability Analysis
Type: OpenClaw Skill
Name: pilot-service-agents-space
Version: 1.0.0
The skill bundle provides instructions and metadata for an AI agent to interact with the Pilot Protocol via the `pilotctl` CLI to retrieve astronomy and space-related data (NASA APOD and Open Notify). The workflow involves querying a directory agent and sending structured messages over a specific network overlay (network 9). All documented behaviors and commands in `SKILL.md` and `README.md` are consistent with the stated purpose of fetching space data, and there are no indicators of malicious intent, data exfiltration, or unauthorized execution.
Capability Assessment
Purpose & Capability
Name/description match the required artifacts: the skill is explicitly a pilot-protocol client that needs pilotctl, a running pilot daemon on network 9, and the list-agents directory. Those requirements are proportionate to a skill that queries overlay service agents.
Instruction Scope
SKILL.md only instructs the agent to run pilotctl send-message and pilotctl inbox to discover agents, read /help, request /data or /summary, and parse returned envelopes. It does not instruct reading unrelated system files or environment variables. Note: responses include an upstream_url field (resolved external media URLs) — the agent will surface external links/media returned by upstream services.
Install Mechanism
Instruction-only skill with no install spec or code files; no downloads or archive extracts. Lowest-risk install profile (relies on existing pilotctl binary and pilot-protocol daemon).
Credentials
No environment variables, credentials, or config paths are requested. The declared requirements (pilotctl binary, pilot-protocol daemon, network 9 membership) are consistent with the skill's function.
Persistence & Privilege
always is false and the skill is user-invocable; model invocation is allowed (default) but there are no indicators the skill requests elevated or persistent system privileges or modifies other skills or system settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install pilot-service-agents-space - After installation, invoke the skill by name or use
/pilot-service-agents-space - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Frequently Asked Questions
What is Pilot Service Agents Space?
Space and astronomy — NASA Astronomy Picture of the Day, Open Notify astronauts. Use this skill when: 1. Fetching APOD metadata + media URLs for a given date... It is an AI Agent Skill for Claude Code / OpenClaw, with 43 downloads so far.
How do I install Pilot Service Agents Space?
Run "/install pilot-service-agents-space" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Pilot Service Agents Space free?
Yes, Pilot Service Agents Space is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Pilot Service Agents Space support?
Pilot Service Agents Space is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Pilot Service Agents Space?
It is built and maintained by Calin Teodor (@teoslayer); the current version is v1.0.0.
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