starlight-department-lab
v0.1.0+codex.20260907044049by frankxai · author: Starlight Intelligence Systems
Practice human judgment, agentic systems and scientific inference with portable mission records; design departments and test workflow evidence.
What starlight-department-lab does, in the publisher's words
Five skills and eight local, read-only MCP tools for four practice missions. Preserve an initial attempt, assistance, artifact, critique, revision and transfer. The server uses bundled public examples. It makes no network calls or external actions. Practice is unsigned self-study, not certification or permission to act.
Website: https://starlightintelligence.academy/academy/studio
This plugin and its bundled learning material are Apache-2.0; see LICENSE. Other repository content retains its own license.
From the project README, punctuation lightly normalized · Open the README on GitHub
- Skills
- 5
- MCP servers
- 1
- Stars
- 0
- License
- Apache-2.0
- Repo created
- 2026-09-12
- Last pushed
- 2026-10-24
- Publisher type
- User
- Version
- 0.1.0+codex.20260907044049
Links
Skills · 5
- design-ai-department
- Triage and design one accountable AI department from a recurring workflow, including when not to automate, the smallest viable topology, human authority, evidence, evaluations, recovery, and portable package projections. Use when asked to design an AI team, agent department, governed workflow, mult…
- learn-starlight-mission
- Complete or facilitate a versioned Starlight Academy mission for a human or sponsored agent, producing the required artifact and an honest evidence packet without claiming certification or runtime authority.
- practice-agent-evaluation
- Guides humans and agents through synthetic workflow evaluation, preserving an unaided attempt, checking sources and authority, revising judgments, and testing transfer. Use for agent outcomes, approval scope, or retrieved-source instructions.
- test-workflow-evidence
- Build and revise deterministic acceptance checks for one synthetic agent workflow using public fixtures, false acceptances, false rejections and explicit unknown outcomes. Use after evaluation practice when a learner wants executable tests, an inspectable test suite or a regression case.
- verify-ai-department-package
- Independently audit an AI department packet or installable package for workflow fit, authority, topology simplicity, producer-verifier separation, evidence, evaluations, recovery, security, portability, and honest release claims. Use before publishing, installing, admitting, deploying, or materiall…
Descriptions come from the frontmatter of each SKILL.md, punctuation lightly normalized.
MCP servers · 1
- starlight-department-labstdio
- node ${PLUGIN_ROOT}/mcp/server.mjs
Read from the plugin's own mcp.json. We list environment variable names, never values.
Category
Other. Assigned by this directory. Agent Plugins 1.0.0 has no category field, so no manifest declares one.
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[](https://agentpluginsdirectory.com/plugins/starlight-department-lab)✓ Verified . We fetched the manifest from GitHub and checked it against the official Agent Plugins 1.0.0 schema at agent-plugins.org.