penguiflow-deployment
penguiflow-deployment is an Agent frameworks & building agents skill for AI agents, published by hurtener in the penguiflow repository on GitHub. Skillspace rates penguiflow-deployment C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Take a PenguiFlow agent from local dev to a production worker fleet — pick a deployment shape (embedded service, queue-backed worker pool, distributed), enforce envelope discipline (`Message` + `Headers.tenant` + `trace_id`), set runtime limits (`queue_maxsize`, `NodePolicy.timeout_s`/`max_retries`, `Message.deadline_s`), implement worker lifecycle (`flow.run(...)` → `await flow.stop()`), wire durability via `StateStore` capabilities, configure distributed hooks (`MessageBus`, `RemoteTransport`+`RemoteNode`, A2A bindings), and harden tool execution. Use when a user says "deploy to production", "worker integration", "multi-worker", "queue-backed", "distributed execution", "RemoteNode", "MessageBus", or asks how to size queues/timeouts/retries.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 26
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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