BC freeride-gateway
Use this skill when the user has FreeRide installed (binary at ~/.local/bin/freeride, gateway on http://localhost:11343) or asks how to route their AI workloads across free-tier providers. FreeRide is "Ollama for free cloud inference" — a local OpenAI-compatible gateway that routes across OpenRouter, Groq, NVIDIA NIM, Cloudflare Workers AI, HuggingFace, Cerebras, and Ollama. Detect it via curl http://localhost:11343/health, then wire any OpenAI-shaped tool against base URL http://localhost:11343/v1 with API key "any". Failover across providers and keys is automatic.
As a process C 62/100 · Has gaps — weak spots: result and completion, inputs and preconditions, progress reporting
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 · 1
✓ No critical or high findings
Medium and low: 1
-
low Dangerous commands
cmd-pipe-to-shellSKILL.md:174Downloads and executes remote code from an unrecognised host (pipe to shell) (detector / deny-list definition; the skill's own vendor host)- Install: `curl -sSL https://api.free-ride.xyz/install.sh | sh`
detectorvendor-host
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
name-missingSKILL.md: frontmatter has no `name`
Process rating: all ten parameters 62/100
- 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
- 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 100Steps. 18 steps
- 100Failures and branches. 2 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1716 tokens
- 100Running it twice. No mutating operations
- low 11 top-level sections: this looks like several domains in one skill
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
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +3Description length 572: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 18 items
- +4Has examples (6 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 52.