jepsen-testing

jepsen-testing is a skill for Claude Code, Codex from plurigrid/asi. It costs 66 tokens per session (551 once invoked), scanned A, original, MIT.

A method for testing whether distributed systems remain correct during failures such as crashes, network partitions, or clock differences. It checks whether concurrent actions could have happened in a valid order.

In plain words
What is it for?
Use it to test systems such as Redis, Kafka, S3, or APIs and detect lost writes, impossible reads, and transaction anomalies.
Why use it?
Ordinary tests often miss errors that appear only when several machines fail or respond at the same time.

Skill for Claude CodeCodex

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 skills/plurigrid/asi/jepsen-testing
Any agent
npx skills add plurigrid/asi --skill jepsen-testing
Clone the repo
git clone --depth 1 https://github.com/plurigrid/asi

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 jepsen-testing

README.md
[![agentmods](https://agentmods.dev/badge/skills/plurigrid/asi/jepsen-testing.svg)](https://agentmods.dev/skills/plurigrid/asi/jepsen-testing)
Your own site
<a href="https://agentmods.dev/skills/plurigrid/asi/jepsen-testing"><img src="https://agentmods.dev/badge/skills/plurigrid/asi/jepsen-testing.svg" alt="Measured on agentmods" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 551 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 $0.00066 $0.00551
Opus 5 $0.00033 $0.00275
Sonnet 5 $0.00013 $0.00110
Haiku 4.5 $0.00007 $0.00055

Measured 3d ago against content hash 3444eae66f88, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

jepsen-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 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.

.claude/skills/jepsen-testing/SKILL.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Jepsen Testing

Intake

  • Identify the system under test and the exact client surface (Redis, S3, Kafka, HTTP, gRPC).
  • Define what "acknowledged" means for each operation (what does the client treat as committed).
  • Write the claimed consistency guarantees as a checkable property (linearizable register, RYW, monotonic reads, serializable txns).
  • Specify the failure model to test (crash-stop, partitions, clock skew, disk stalls, restarts).
  • Decide whether the test must be multi-surface (write via Redis, read via S3) to validate cross-frontend coherence.

Workload Design

  • Prefer the smallest workload that can falsify the claim.
  • Use a mix of reads and writes that creates ambiguous interleavings.
  • Add a "witness" invariant that is easy to explain:
  • Lost acknowledged write.
  • Read sees a value that cannot be explained by any sequential execution respecting real-time order.
  • List-append: element lost/duplicated or observed order implies a cycle.

Checker Selection

  • Register or map semantics: use a linearizability checker.
  • Transactional / multi-object semantics: use Elle-style anomaly detection (write cycles, dirty reads, lost updates).
  • If linearizability is too strong for the product, explicitly select a weaker model and encode it (do not silently downgrade).

Fault (Nemesis) Selection

  • Partitions: majority/minority splits, bridge partitions, flapping partitions.
  • Process faults: kill and restart, node reboot, rolling restarts.
  • Time faults: clock offsets and jumps if the system relies on time.
  • Storage faults: fsync latency, I/O stalls, disk-full behavior (only if safe and reversible).

Run and Minimize

  • Start with a short, low-concurrency run until the harness is stable.
  • When a failure appears, minimize by reducing:
  • Keys, operation count, and concurrency.
  • Fault intensity and schedule complexity.
  • Preserve determinism (fixed seeds, fixed partition schedule) so a failing history can be reproduced.

Reporting

  • State the exact claim under test and the precise pass/fail property.
  • Include the workload, nemesis schedule, and a minimal failing history excerpt.
  • Distinguish availability failures (timeouts) from safety failures (incorrect ok results).

Read the full file on GitHub · 53 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 · 53 lines · 66 tokens per session scan A 3444eae66f88

Subscribe to this mod's changes

jepsen-testing is a skill published in the GitHub repository plurigrid/asi (62 stars, last pushed 1mo ago), licensed MIT. It adds 66 tokens to every session and 551 once invoked, about $0.0003 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 2026-09-01.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens