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Skill evidence / phpunit
Skill profile

phpunit

PHPUnit testing framework conventions and practices.

What this skill does for you

PHPUnit testing framework conventions and practices. Invoke whenever task involves any interaction with PHPUnit : writing tests, configuring PHPUnit, data providers, mocking, assertions, debugging test failures, or coverage.

Quoted from the skill description in the pinned source

Who made it

Publisherxobotyi
Repositorycc-foundry
Installs328as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the phpunit skill from xobotyi/cc-foundry.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 24de55201ae0dd2d5d61eb909b92859c49c65aa8. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 24de55201ae0dd2d5d61eb909b92859c49c65aa8. Raw findings: 2. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 24de55201ae0dd2d5d61eb909b92859c49c65aa8. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/xobotyi/cc-foundry
Pinned skill file
View source at revision
Revision
24de55201ae0dd2d5d61eb909b92859c49c65aa8
Package hash
sha256:593430a618139496435aa6a389b0f59db770234d77f1f321d1b2be2aa57b2789
Licence
MIT