Conciseness

The body is dense and command-first with almost no padding of concepts Claude already knows, but a few sentences could be trimmed ('These inputs are deliberately different:' preamble, the GPT-4o selector anecdote), matching the 'efficient with minor over-explanation' anchor 4 rather than the lean anchor 5.

Actionability

Mostly copy-paste-ready: concrete curl|jq queries, a real headless test command with an example model, and a CI matrix snippet with a line-number hint. Falls short of 5 because Step 2 offers only abstract direction ('Add the model at the source that owns it') and Common Issues references an unnamed 'validation script' with no path or command.

Workflow Clarity

Four clearly sequenced steps with an explicit verification checkpoint in Step 3 (headless smoke-test prompt) and error-recovery guidance in Common Issues. Not a destructive or batch operation, so no cap applies; it misses anchor 5 only because Step 2 lacks a concrete checkpoint.

Progressive Disclosure

The single self-contained body is well organized (Quick Reference, Workflow, Toolset Detection, Common Issues) with a key-files map into the repo. It sits at anchor 4 rather than 5 because the agent-source catalog table and provider-prefix detail are inline reference material that could be split into a separate file, and no one-level-deep reference files exist.

Specificity

Names the domain and several concrete actions ('add support for a new model', 'update model-specific compatibility behavior', 'runtime catalog sources, CI test matrices, and handle validation') but omits areas the body covers, such as toolset selection, leaving minor gaps that fall short of the comprehensive anchor 5.

Completeness

Explicitly answers both: the what ('Guide for adding new LLM models to Letta Code... Covers runtime catalog sources, CI test matrices, and handle validation') and the when ('Use when the user wants to add support for a new model, needs to know valid model handles, or wants to update model-specific compatibility behavior') with three concrete trigger phrases.

Trigger Term Quality

Natural phrases like 'add support for a new model' and 'valid model handles' match what a user would actually say, but common synonyms such as 'model ID', 'new provider', or 'model list' are missing, so coverage is good rather than comprehensive.

Distinctiveness Conflict Risk

A clear niche is staked out ('adding new LLM models to Letta Code') with distinct triggers like 'model handles' and 'model-specific compatibility behavior', making it unlikely to fire for unrelated skills.