eap-data-collection
eap-data-collection is an Embedded, IoT & robotics skill for AI agents, published by RoboClaw-Robotics in the RoboClaw repository on GitHub. Skillspace rates eap-data-collection C (74/100) and it passed the safety scan; the rating is based on static analysis only.
EAP data collection workflow for prompt-driven robotic rollouts. Use this skill when you need to collect self-resetting forward and reverse trajectory pairs, keep rollout metadata and trajectory records in dataset `D`, and delegate each robot execution step to $monitored-subtask-execution so MCP startup, monitoring, timeout handling, stop, and reset remain centralized.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 135
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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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