AD devbox
One-command Docker dev environment for any project. Auto-detects 20+ types (Nuxt/Next/Vite/Python/Go/Rust/Java/Ruby/PHP/C#/Swift/Hugo), matches local language versions to Docker images, manages port conflicts, and attaches database services. All generated files (deps/cache/build artifacts) use named volumes for full host↔container isolation. Use when: setting up containerized dev environments, running projects in isolated Docker containers, or needing database dependencies.
As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 2
✓ No critical or high findings
Medium and low: 2
-
low Dangerous commands
cmd-pipe-to-shell-known-hostscripts/devbox.sh:360Pipe-to-shell installer from a well-known host (still executes remote code) (string literal in code, not executed)bun) install_cmd="curl -fsSL https://bun.sh/install | bash && export BUN_INSTALL=/root/.bun && export PATH=\$BUN_INSTALL/bin:\$PATH && bun install" ;;
code literal -
low Dangerous commands
cmd-pipe-to-shell-known-hostscripts/devbox.sh:697Pipe-to-shell installer from a well-known host (still executes remote code) (string literal in code, not executed)bun) install_cmd="curl -fsSL https://bun.sh/install | bash && export BUN_INSTALL=/root/.bun && export PATH=\$BUN_INSTALL/bin:\$PATH && bun install" ;;
code literal
Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 44/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (devbox) differs from the folder (docker-devbox)
- 55Failures and branches. 1 branches
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 12 steps
- 100Execution cost. Instruction body is 1323 tokens
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 478: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 12 items
- +4Has examples (5 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.