fastworkflow-validation-and-qa
fastworkflow-validation-and-qa is an Integration & environment testing skill for AI agents, published by radiantlogicinc in the fastworkflow repository on GitHub. Skillspace rates fastworkflow-validation-and-qa F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
What counts as evidence in fastWorkflow: the real state of the 495-test pytest suite, which tests skip/no-op and why, the golden test workflows and trained artifacts you must never destroy, how to add integration tests, and the acceptance bar before a release tag. Load this when you are about to run the test suite, interpret pass/fail/skip results, add or modify tests, decide whether "CI is green" means anything (it barely does), or judge whether a change has enough evidence to ship. Symptoms that trigger it: "tests pass but should they?", "why did 4 FastAPI tests suddenly fail with FileNotFoundError on threshold.json", "can I mock this?", "is this test flaky?", "what do I run before tagging a release?". Do NOT load it for debugging a failing feature (fastworkflow-debugging-playbook), for running the app itself (fastworkflow-run-and-operate), or for pass^k reliability measurement design (tau2-reliability-campaign / fastworkflow-proof-and-analysis-toolkit).
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 49
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.
Our review
- Architecture
- 73 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- High-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- references sensitive credential env
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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