audit-dev

A command that compares an existing test suite with constraints written in Z, a mathematical notation for describing software states and rules. It looks for tests covering those rules, including conditions, effects, and limits.

In plain words
What is it for?
Use it with a Z specification and an optional test directory, with results shown as a table or JSON.
Why use it?
It shows which specified behaviors are not represented in the tests. This helps reveal gaps that ordinary test-coverage percentages may miss.

Command

Part of the z-spec-dev plugin — 42 commands, 1 hook shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add commands/punt-labs/z-spec/audit-dev
Clone the repo
git clone --depth 1 https://github.com/punt-labs/z-spec

Or install z-spec-dev, the plugin that ships this one along with the rest of its 42 commands, 1 hook.

Per session 7 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,511 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00007 $0.02511
Opus 5 $0.00003 $0.01256
Sonnet 5 $0.00001 $0.00502
Haiku 4.5 $0.00001 $0.00251

Measured 3d ago against content hash ee4bc93aef85, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

audit-dev scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • audit — 89% identical, 12 lines differ
plugin/commands/audit-dev.md · 285 lines

How it starts

The opening of the file, as written. The whole thing — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/z-spec-dev:audit-dev - Test Coverage Audit

Audit unit test coverage against constraints defined in a Z specification. Extracts invariants, preconditions, effects, and bounds from the spec, then searches the test suite for coverage.

Input

Arguments: $ARGUMENTS

Parse arguments:

  • First positional argument: Z specification file (default: search docs/*.tex)
  • --json: Output JSON instead of markdown table
  • --test-dir=DIR: Override test directory detection

Process

0. Prerequisites

This command does not require fuzz or probcli. It reads existing Z specifications and searches test files using pattern matching. The specification should already exist (created via /z-spec-dev:code2model-dev).

1. Locate the Specification

If a file path is provided, use it directly.

If no file specified:

  • Look in docs/ for .tex files containing Z specifications
  • If multiple found, ask user to specify

Read the specification file.

2. Detect Language and Test Directory

If --test-dir specified, use it.

Otherwise, auto-detect from project files:

Indicator Language Test Directory Pattern
Package.swift, *.xcodeproj, project.yml Swift *Tests/
package.json, tsconfig.json TypeScript __tests__/, *.test.ts, *.spec.ts
pyproject.toml, setup.py, requirements.txt Python tests/, test_*.py, *_test.py
build.gradle.kts, pom.xml Kotlin src/test/

Use Glob to find test files matching the detected pattern.

3. Extract Constraints from Z Specification

Parse the specification and extract constraints into 4 categories:

Category 1: Schema Invariants

Location: \where clauses in state schemas (non-operation schemas without \Delta or \Xi)

Examples:

\begin{schema}{State}
level : \nat
\where
level \geq 1 \\
level \leq 26
\end{schema}

Extracts: level >= 1, level <= 26

Category 2: Operation Preconditions

Location: Predicates in operation schemas (\Delta or \Xi) that reference only unprimed state variables and inputs.

Read the full file on GitHub · 285 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 285 lines · 7 tokens per session scan A ee4bc93aef85

Subscribe to this mod's changes

audit-dev is a command published in the GitHub repository punt-labs/z-spec (5 stars, last pushed 3d ago), licensed MIT. It adds 7 tokens to every session and 2,511 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.