Verify allowed-tools coverage by exercising !-injection patterns across Bash, Python, and Read.
npx skills add https://github.com/jewzaam/jewzaam-reviews --skill test-jewzaam
Please help me install this Agent Skill. Skill: test Source: https://github.com/jewzaam/jewzaam-reviews/tree/main/skills/test Command: npx skills add https://github.com/jewzaam/jewzaam-reviews --skill test-jewzaam
The permission canary exercises every !-injection pattern used by real producer skills to verify allowed-tools coverage.
Run the canary against a target skill directory to verify allowed-tools coverage and gather a report of outputs.
High-intent search queries and answers about installing and using this skill.
A permission canary validates that all declared allowed-tools in a skill are honored by the runtime by exercising every !-injection pattern across Bash, Python, and Read access before production deployment.
A permission canary is a safety check that exercises every !-injection pattern used by real producer skills to verify allowed-tools coverage and ensure injection patterns are detectable and reportable during development.
You test tool-access boundaries by applying a permission canary during development, which exercises all !-injection patterns across Bash, Python, and Read access to validate allowed-tools coverage within plugins.
Yes, you can run the permission canary during development and testing to confirm that all declared allowed-tools in frontmatter are honored, ensuring safe, auditable test execution with constrained environment access.
Your allowed-tools declaration may not match because untested !-injection patterns exist; running a permission canary exhaustively exercises every pattern to detect and report gaps in Bash, Python, and Read access.
nitromike502Test complete skill definitions for frontmatter, usage, examples, and helper modules.
GabeujinExecute pytest tests with coverage and generate annotated reports of uncovered lines.
TeiNamAutomate Laravel project verification for CI/CD pipelines.
AlejandroFiginiDetect runtime errors and performance regressions in live deployments via Bash probes.
