signaltree-guardrails
signaltree-guardrails is a Frontend state & data fetching skill for AI agents, published by JBorgia in the signaltree repository on GitHub. Skillspace rates signaltree-guardrails D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Guides AI agents attaching @signaltree/guardrails as a dev-only enhancer for SignalTree performance budgets, hot-path detection, memory-leak monitoring, and anti-pattern rules. Automatically noop in production via conditional package exports. Triggers on @signaltree/guardrails, performance budget, dev-only enhancer, anti-pattern detection, hot path analysis, memory leak detection, P95/P99 reporting, intent suppression.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 22
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.
- 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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