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model-right-sizer-audit

One-shot, PER-CALL-SITE audit of a repo's EXISTING LLM calls — every place code invokes a model (an SDK/API call, a sub-agent dispatch, an agent frontmatter definition), decomposed by INTENT into the distinct jobs it does, never a grep hit on a model name and never one candidate per file. A skill pinned by one static `model:` key still gets its steps split by intent when severable under Claude Code's per-turn model binding. DELEGATES each call to `model-right-sizer-dryrun` (never re-implements its scoring) and merges results into ONE schema-conformant JSON blueprint committed at the TARGET REPO'S ROOT via a PR — never a markdown table. Distinct from `model-right-sizer-dryrun` (invoke directly for one hypothetical task) and `model-right-sizer-install` (the standing before/after mandate). Use when someone says "audit this repo's model calls", "right-size the models in <repo> per call site", "find every LLM call and right-size it", or "commit a model right-sizing blueprint for <repo>".

70

Quality

88%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security
Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.

Why it was flagged

The required workflow clones and reads arbitrary target repositories from GitHub (`org/repo` slugs or full URLs), ingesting repository code, comments, docstrings, and commit messages into the agent session.

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Repository
Cloudzero/cloudzero-claude-marketplace
Audited
Security analysis
Snyk

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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.