BF litellm
Operate, configure, secure, and troubleshoot the LiteLLM AI gateway (proxy) and Python SDK: run the proxy (litellm --config), route to 100+ providers through one OpenAI-compatible API, configure model lists and routing/reliability, virtual keys, teams, budgets, rate limits, caching, guardrails, observability, and spend, and diagnose request failures. Use when deploying or running a LiteLLM proxy or gateway (config.yaml, ghcr.io/berriai/litellm), wiring the Python SDK or OpenAI SDK through it, or hardening a public-facing deployment. Do not use for operating a single inference engine (vllm, llama-cpp), for engine-selection methodology (ml-engineering), or for building applications on top of an LLM API (backend/frontend engineering).
Operate, configure, secure, and troubleshoot the LiteLLM AI gateway (proxy) and Python SDK: run the proxy (litellm --config), route to 100+ providers through…
As a process F 46/100 · Will not run — References files that are not bundled: ../ml-engineering/SKILL.md, ../vllm/SKILL.md, ../llama-cpp/SKILL.md
How to improve
- The text references files that are not there: add them or drop the references.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 13. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: ../ml-engineering/SKILL.md - warning
missing-refreference to a missing file: ../vllm/SKILL.md - warning
missing-refreference to a missing file: ../llama-cpp/SKILL.md - warning
missing-refreference to a missing file: ../kubernetes/SKILL.md - warning
missing-refreference to a missing file: ../docker-compose/SKILL.md - warning
missing-refreference to a missing file: ../traefik/SKILL.md - warning
missing-refreference to a missing file: scripts/litellm-health - note
edit-residuethe text marks something as outdated (lines 161): check that old rules are not kept next to new ones — the full check reads the text for contradictions
Process rating: all ten parameters 46/100
- 0Tools and files. 7 referenced file(s) missing: ../ml-engineering/SKILL.md, ../vllm/SKILL.md, ../llama-cpp/SKILL.md
- 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
- 30Running it twice. 21 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 100Steps. 44 steps
- 100Failures and branches. 1 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3895 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 16 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
- +3Output format is not stated: the model decides each time
- -2localhost URLs: will not work for another user
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 741: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 44 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (9 of 9)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.