jev-audit skillA
jev-audit is agent-read markdown (skill) from onewave-ai/claude-skills: Audit a codebase for LLM calls that are really classifications in disguise, then produce a costed swap plan for a System One model. Use when asked to cut AI inference cost or latency, when scoping a performance engagement for a client, when reviewing an agent loop that feels slow, or when asked "where could we use Jev here". Produces a ranked table of candidates with measured latency and dollar deltas..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Inference-cost audit
Most production LLM calls return a **label**, not prose — a route, a score, a yes/no, a
category. Those calls pay for autoregressive generation they do not use. This audit finds
them and prices the swap.
Deliverable: a ranked table of candidates with measured deltas. Sellable as a OneWave
engagement; same shape as `marketing-brain` — a repeatable audit run per client.
## 1. Find the candidates
Search for LLM calls, then filter to the ones whose output is a label:
```bash
grep -rnE "messages\.create|chat\.completions|generateText|\.invoke\(|anthropic\.|openai\." \
--include=*.{ts,tsx,js,py} . | grep -v node_modules
```
A call is a candidate when **all** of these hold:
- the prompt asks for one of a **known, finite** set of answers (≤255)
- the caller **parses** the response — JSON.parse, a regex, an enum lookup, `.trim()`
- nothing downstream shows a human the model's reasoning
- it runs **often**, or a user waits on it
Strong signals in the prompt text: "respond with only", "return JSON", "classify",
"choose one of", "rate from 1 to", "answer yes or no", "do not explain".
…Read the whole file at its exact version.
How to install
mdr add onewave-ai/claude-skills/jev-audit@git:20260921.1fa6175mdr add onewave-ai/claude-skills/jev-audit@sha256:96373e3f023c822bPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_dsdnvjolk2uyswsq)
1 badge views in 30 days
Versions
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4114 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
onewave-ai/claude-skills · 306 stars · license MIT · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_dsdnvjolk2uyswsq GET https://markdownregistry.com/api/v1/resolve?ref=onewave-ai/claude-skills/jev-audit GET https://markdownregistry.com/api/v1/blob/96373e3f023c822b9ce2bf121fa772e415f03d3c89d07914419d29f53fabf735
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.