property-based-testing

property-based-testing is a skill for Claude Code from bdfinst/agentic-dev-team. It costs 143 tokens per session (1,421 once invoked), scanned A, original, MIT.

A property-based test generator for a target function. Property-based testing checks general rules across many generated inputs, such as whether encoding and decoding return the original value or whether a result is always sorted.

In plain words
What is it for?
Use it to generate a runnable round-trip or invariant test from a function's signature and documentation.
Why use it?
It can test broad behaviour rather than only a few hand-picked examples, while avoiding a test when no documented rule can be established.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the dev-team plugin — 98 skills, 54 agents, 4 hooks shipped together

Good fit Use it to generate a runnable round-trip or invariant test from a function's signature and documentation.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add bdfinst/agentic-dev-team
Claude Code
/plugin install dev-team

Made for: Claude Code.

Or install dev-team, the plugin that ships this one along with the rest of its 98 skills, 54 agents, 4 hooks.

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/bdfinst/agentic-dev-team/property-based-testing/github.svg)](https://agentmods.dev/skills/bdfinst/agentic-dev-team/property-based-testing)
Your own site
<a href="https://agentmods.dev/skills/bdfinst/agentic-dev-team/property-based-testing"><img src="https://agentmods.dev/badge/skills/bdfinst/agentic-dev-team/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/bdfinst/agentic-dev-team/property-based-testing"><img src="https://agentmods.dev/badge/skills/bdfinst/agentic-dev-team/property-based-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 143 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,421 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 $0.00143 $0.01421
Opus 5.5 $0.00057 $0.00568
Sonnet 5.5 $0.00029 $0.00284
Haiku 4.5 $0.00014 $0.00142

Measured 25d ago against content hash 0139d6a834fe, 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 25d ago.

The scan reads SKILL.md. This mod also ships 54 executable files (fixtures/invariant_fixture.py, fixtures/js-roundtrip/node_modules/fast-check/lib/cjs/fast-check.d.ts, fixtures/js-roundtrip/node_modules/fast-check/lib/cjs/fast-check.js, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/dev-team/skills/property-based-testing/SKILL.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Property-Based Testing

Role: worker. This command derives and generates property-based tests directly — it does not replace example-based tests, and it does not fabricate a weak "doesn't crash" property when no round-trip pair or documented invariant can be found.

Procedure

Step 1: Detect the target language (reuse project-init — never re-derive)

Run project-init's own stack detection — ${CLAUDE_PLUGIN_ROOT}/skills/project-init/SKILL.md § "Step 1: Detect the stack" — over the target project. That section is this repo's canonical, single source of truth for stack detection (its own frontmatter says so); this skill reuses its result and never re-implements the filesystem-signal table (package.json/tsconfig.json for JS/TS, pyproject.toml/ requirements*.txt/setup.py for Python, *.sln/*.csproj for C#, pom.xml/build.gradle for Java) itself.

Reduce that step's result to a single detected-language value:

  • Exactly one stack detected → its display name, verbatim as project-init's own stack table spells it (Python, JS/TS, C#, Java).
  • Zero or ambiguous signals (project-init's own "ask the user" branch) → no detected language.

Step 2: Gate on support

Pass the detected language (or nothing, when Step 1 found none) to scripts/detect_and_dispatch.py:

python3 "${CLAUDE_PLUGIN_ROOT}/skills/property-based-testing/scripts/detect_and_dispatch.py" --language "<detected language>"

This script decides support — it does not detect anything itself (see its own module docstring). When the language is neither Python nor JS/TS, or no language was passed at all, it prints the exact message below and exits non-zero. Stop here — no partial run, no file written, exactly as the Gherkin "Unsupported or undetected language" scenario requires:

Unsupported language: <detected|unknown> — supported: Python, JS/TS.

<detected> is the actual detected language name (e.g. Go, C#) when Step 1 found one but it isn't supported; the literal word unknown when Step 1 found nothing at all.

Read the full file on GitHub · 122 lines

Files

What ships with it

60 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. 25d ago First seen · 122 lines · 143 tokens per session scan A 0139d6a834fe

Subscribe to this mod's changes

property-based-testing is a skill published in the GitHub repository bdfinst/agentic-dev-team (295 stars, last pushed 4d ago), licensed MIT. It adds 143 tokens to every session and 1,421 once invoked, about $0.0006 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 2026-09-23.

Related

Other skills, from other repositories

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

eval-dataset-design

A guide to creating reliable test sets for AI agents. Each evaluation task includes the request, the simulated user's behaviour, a reset starting state, and a success check that can be independently verified.

bojieli/ai-agent-book · 138 tokens

tika-eval-compare

Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".

apache/tika · 50 tokens

cua-driver

Use Cua Driver for desktop or browser tasks that are awkward or unavailable through Bash/APIs, or when the user explicitly wants GUI interaction: app testing, visual bug reproduction, form filling, calendar entry, screenshots, and demo recording. Also covers Cua setup; not OpenAI Codex Computer Use or web research.

davidondrej/skills · 68 tokens

jetson-validate-image

Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.

NVIDIA/skills · 50 tokens

atmos-validation

Validate Atmos projects, components, arbitrary JSON Schema inputs, EditorConfig, and GitHub Actions; use affected-file selection and native CI annotations.

cloudposse/atmos · 31 tokens