lcm-e2e

lcm-e2e is an Integration & environment testing skill for AI agents, published by lossless-claude in the lcm repository on GitHub. Skillspace rates lcm-e2e C (71/100) and it passed the safety scan; the rating is based on static analysis only.

Run the E2E validation checklist against a real lcm installation. Tests daemon, hooks, import, compact, promote, retrieval, and resilience. Pass a flow name for a subset (import, compact, promote, curate, retrieval, hooks, doctor, cleanup), or omit for the full suite.

Grade
C
Quality
71 / 100
Safety
Passed
GitHub stars
20

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.

View source on GitHublossless-claude/lcm

Our review

Architecture
93 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 1 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

More Integration & environment testing skills

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.