remote-state-machine-guardrail
remote-state-machine-guardrail is an Embedded, IoT & robotics skill for AI agents, published by kxn in the codex-remote-feishu repository on GitHub. Skillspace rates remote-state-machine-guardrail D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Audit and update this repository's canonical remote surface state machine after implementing changes to remote-surface state-machine logic carriers such as attach/detach/use/follow state predicates, routing decisions, headless lifecycle progression, queue/dispatch gating, request-capture gates, or command-availability logic. Use after implementation stabilizes and before committing. Reopen `docs/general/remote-surface-state-machine.md`, sync the current behavior, audit dead or half-dead user states, fix bug-grade issues found by that audit, and append unresolved product tradeoffs under `待讨论取舍`.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 267
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 92 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 1 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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