analyzing-backend-bundle
analyzing-backend-bundle is a Runtime diagnostics & profiling skill for AI agents, published by TriliumNext in the Trilium repository on GitHub. Skillspace rates analyzing-backend-bundle D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Use when analyzing the server/desktop backend bundle — "what does the server load at startup?", "is <dependency> lazy on the backend?", "why is <package> in the startup set?", "how big is the eager set?", chunk analysis after adding a dynamic-import seam, backend memory profiling (RSS, retained script source, heap), or any before/after comparison for backend lazy-loading. Records what a bundle actually loads at boot, joins it with the esbuild metafile, and explains why each package is eager. Don't write a new throwaway module-hook logger, metafile joiner, or heap-snapshot parser — all already live here.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 37,821
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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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