jev-audit SKILL.md skillA

jev-audit from onewave-ai/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add onewave-ai/claude-skills/jev-audit@git:20260921.1fa6175

Pins git:20260921.1fa6175 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
onewave-ai/claude-skills
Path
jev-audit/SKILL.md
Versions recorded
1
Latest version
git:20260921.1fa6175, committed Sep 21, 2026
Size
4,114 bytes
Repository stars
421
License
MIT

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.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file 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

The exact contents, by fingerprint
mdr add onewave-ai/claude-skills/jev-audit@sha256:96373e3f023c822b

The line at the top of this page pins the label git:20260921.1fa6175, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_dsdnvjolk2uyswsq.svg)](https://markdownregistry.com/a/art_dsdnvjolk2uyswsq)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 21, 2026.

versioncommittedcommitsizeaudit
git:20260921.1fa6175 latest2026-09-21 1fa6175 4,114 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • 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

GitHub

onewave-ai/claude-skills · 421 stars · license MIT · pushed 2026-10-20 · 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 AI assistant 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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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