Agentic Plugin Marketplace is a collection of reusable plugins, agents, skills, commands, and rules for coding-agent tools including Claude Code, Codex CLI, Cursor, OpenCode, Antigravity CLI, and GitHub Copilot. It is for developers assembling agentic workflows across multiple harnesses from shared Markdown sources, and the catalogue entries are examples or subsets of those workflow components.
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.
npx skills add wshobson/agents --skill temporal-python-testinggit clone --depth 1 https://github.com/wshobson/agentsWrote 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.
[](https://agentmods.dev/skills/wshobson/agents/temporal-python-testing)<a href="https://agentmods.dev/skills/wshobson/agents/temporal-python-testing"><img src="https://agentmods.dev/badge/skills/wshobson/agents/temporal-python-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.
<a href="https://agentmods.dev/skills/wshobson/agents/temporal-python-testing"><img src="https://agentmods.dev/badge/skills/wshobson/agents/temporal-python-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00045 | $0.01007 |
| Opus 5.5 | $0.00018 | $0.00403 |
| Sonnet 5.5 | $0.00009 | $0.00201 |
| Haiku 4.5 | $0.00005 | $0.00101 |
Grade A, and why
temporal-python-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 1mo 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.
Copies of this mod
7 near-identical copies found in the catalogue:
- temporal-python-testing — 100% identical, 0 lines differ
- temporal-python-testing — 100% identical, 12 lines differ
- temporal-python-testing — 100% identical, 12 lines differ
- temporal-python-testing — 100% identical, 12 lines differ
- temporal-python-testing — 100% identical, 5 lines differ
- temporal-python-testing — 100% identical, 12 lines differ
- temporal-python-testing — 100% identical, 12 lines differ
How it starts
The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Temporal Python Testing Strategies
Comprehensive testing approaches for Temporal workflows using pytest, progressive disclosure resources for specific testing scenarios.
When to Use This Skill
- Unit testing workflows - Fast tests with time-skipping
- Integration testing - Workflows with mocked activities
- Replay testing - Validate determinism against production histories
- Local development - Set up Temporal server and pytest
- CI/CD integration - Automated testing pipelines
- Coverage strategies - Achieve ≥80% test coverage
Testing Philosophy
Recommended Approach (Source: docs.temporal.io/develop/python/testing-suite):
- Write majority as integration tests
- Use pytest with async fixtures
- Time-skipping enables fast feedback (month-long workflows → seconds)
- Mock activities to isolate workflow logic
- Validate determinism with replay testing
Three Test Types:
- Unit: Workflows with time-skipping, activities with ActivityEnvironment
- Integration: Workers with mocked activities
- End-to-end: Full Temporal server with real activities (use sparingly)
Available Resources
This skill provides detailed guidance through progressive disclosure. Load specific resources based on your testing needs:
Unit Testing Resources
File: resources/unit-testing.md
When to load: Testing individual workflows or activities in isolation
Contains:
- WorkflowEnvironment with time-skipping
- ActivityEnvironment for activity testing
- Fast execution of long-running workflows
- Manual time advancement patterns
- pytest fixtures and patterns
Integration Testing Resources
File: resources/integration-testing.md
When to load: Testing workflows with mocked external dependencies
Contains:
- Activity mocking strategies
- Error injection patterns
- Multi-activity workflow testing
- Signal and query testing
- Coverage strategies
Replay Testing Resources
File: resources/replay-testing.md
When to load: Validating determinism or deploying workflow changes
Contains:
What ships with it
4 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.
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.
- 1mo ago First seen · 159 lines · 45 tokens per session scan A 71810389b455
temporal-python-testing is a skill published in the GitHub repository wshobson/agents (41,018 stars, last pushed 2d ago), licensed MIT. It adds 45 tokens to every session and 1,007 once invoked, about $0.0002 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 2026-09-03.
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