Frontend TestingCAUTION
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
Overview
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
c83005c54d45OBSERVED · 2026-10-22What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: frontend-testing description: Use when writing or changing Vitest or React Testing Library tests under `web/` or `packages/dify-ui/`, or when the user explicitly requests frontend test strategy, including evaluation of an existing strategy. Do not use for frontend code-review-only requests, general testability discussion, Python tests, or Cucumber/Playwright E2E. --- # Frontend Testing Read the testing policy for the package that owns the changed tests: - `web/`: `web/docs/test.md` owns Web test boundaries, environments, and commands. - `packages/dify-ui/`: `packages/dify-ui/docs/testing.md` owns primitive test boundaries, environments, Storybook, and commands. This skill adds no parallel policy or check sequence. Follow the selected owner's requirements, including its validation commands. Recommend deleting low-value tests as readily as adding missing behavior coverage, and report the contract verified and any material verification gap.
Trust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (5)
.claude/skills/backend-code-review
.claude/skills/e2e-cucumber-playwright
.claude/skills/frontend-code-review
.claude/skills/frontend-testing
.claude/skills/how-to-write-component
Gates applied: no_behavioural_pass.
c83005c54d45full audit observations/trust-audit/skill/langgenius__frontend-testing.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-22 | c83005c54d45 | CAUTION | B | 89 | first audit |
Questions
What does the frontend-testing — langgenius/dify skill do?
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
Is frontend-testing — langgenius/dify safe to install?
With care. The audit graded it B (89/100) and found 5 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can frontend-testing — langgenius/dify access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (c83005c54d45), read on 2026-10-22. The repository is watched, and a new audit runs when it changes — this is the first audit.
Add this badge to your README
Shows this page's audit result and links back to it. It updates when the audit does.
[](https://modelsatlas.com/skills/langgenius/frontend-testing/)
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