manual-testing

manual-testing is an Integration & environment testing skill for AI agents, published by lucasfcosta in the backpressured repository on GitHub. Skillspace rates manual-testing D (64/100) and it passed the safety scan; the rating is based on static analysis only.

Verifies a feature works by running the real app, not by trusting green tests. Use when a backpressured loop reaches the before-done gate (Phase 3) and needs to confirm new behavior end-to-end — curling live API endpoints and driving a real browser via Playwright — including the cheap unhappy paths, before the task is called done.

Grade
D
Quality
64 / 100
Safety
Passed
GitHub stars
59

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 GitHublucasfcosta/backpressured

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

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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