property-based-testing

property-based-testing is a skill for Claude Code, Codex from dayfinggg/openai-codex-agent-skills. It costs 28 tokens per session (857 once invoked), scanned A, original, MIT.

A guide for property-based testing, which checks a general rule against many generated inputs instead of checking only a few hand-written examples.

In plain words
What is it for?
Use it to test parsers, serializers, conversions, algorithms, normalizers, and other code with clear invariants or input-wide rules.
Why use it?
It helps find counterexamples in code with useful rules such as round trips, inverses, matching a reference result, or unchanged results after repeated application.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to test parsers, serializers, conversions, algorithms, normalizers, and other code with clear invariants or input-wide rules.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dayfinggg/openai-codex-agent-skills/property-based-testing
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.

Any agent
npx skills add dayfinggg/openai-codex-agent-skills --skill property-based-testing
Clone the repo
git clone --depth 1 https://github.com/dayfinggg/openai-codex-agent-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for property-based-testing

README.md
[![agentmods](https://agentmods.dev/badge/skills/dayfinggg/openai-codex-agent-skills/property-based-testing/github.svg)](https://agentmods.dev/skills/dayfinggg/openai-codex-agent-skills/property-based-testing)
Your own site
<a href="https://agentmods.dev/skills/dayfinggg/openai-codex-agent-skills/property-based-testing"><img src="https://agentmods.dev/badge/skills/dayfinggg/openai-codex-agent-skills/property-based-testing/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for property-based-testing

Your own site · 80×15
<a href="https://agentmods.dev/skills/dayfinggg/openai-codex-agent-skills/property-based-testing"><img src="https://agentmods.dev/badge/skills/dayfinggg/openai-codex-agent-skills/property-based-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 857 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00028 $0.00857
Opus 5.5 $0.00011 $0.00343
Sonnet 5.5 $0.00006 $0.00171
Haiku 4.5 $0.00003 $0.00086

Measured today against content hash 0e76acb88d6c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

property-based-testing 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 today.

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

2 near-identical copies found in the catalogue:

codex/skills/property-based-testing/SKILL.md · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Read local host integration before applying this imported workflow.

Property-Based Testing

An example test asserts one point. A property asserts a rule over the whole input domain and lets the generator hunt for the counterexample. That trade is worth making when the code has an algebraic shape — an inverse, an invariant, an oracle — and not otherwise. Code with no such shape gets example tests; saying so is a valid outcome.

Check first whether the shape is missing or merely buried. A calculation wrapped in I/O, a string built by concatenation, an in-place mutation — each has a property and no seam to assert it through. See references/refactoring.md before concluding there is nothing to assert.

Property catalog

Property Formula Where it applies
Roundtrip decode(encode(x)) == x Serialization, conversion pairs
Inverse f(g(x)) == x encrypt/decrypt, compress/decompress
Oracle new(x) == reference(x) Optimization, refactoring, reimplementation
Idempotence f(f(x)) == f(x) Normalization, formatting, sorting
Invariant Holds before and after Any transformation, contract state
Easy to verify is_sorted(sort(x)) Complex algorithms with cheap checkers
Commutativity f(a, b) == f(b, a) Binary and set operations
Associativity f(f(a,b), c) == f(a, f(b,c)) Combining operations
Identity f(x, e) == x Operations with a neutral element

Strength ordering, weakest to strongest: no crash → type preservation → invariant → idempotence → roundtrip / oracle.

Assert the strongest property the code supports. "No crash" alone rarely justifies the dependency — if that is all you can find, either a small rearrangement exposes something stronger, or the honest report is that this code is a poor PBT candidate. Rule out the first before settling for the second.

The two ways a property test asserts nothing

  • Tautology. assert add(a, b) == a + b restates the implementation; no bug they share can fail it. Pick a property that constrains the function without recomputing it. Note the exception: f(x) == f(x) is a genuine determinism property when f is not obviously pure — serializers over dicts or sets, hashing, anything reading the clock.
  • Vacuity. assume() that filters out nearly every input passes without exercising anything, and self-contradictory assume() passes having run zero cases. Push constraints into the strategy so the generator produces valid inputs directly.

Read the full file on GitHub · 70 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. today First seen · 70 lines · 28 tokens per session scan A 0e76acb88d6c

Subscribe to this mod's changes

property-based-testing is a skill published in the GitHub repository dayfinggg/openai-codex-agent-skills (8 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 857 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-30.

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