Kosmos: Skill for Claude Code

.claude/skills/kosmos-e2e-testing/SKILL.md

kosmos-e2e-testing is a skill for Claude Code from jimmc414/Kosmos. It costs 0 tokens per session (2,036 once invoked), scanned B, original, no licence file.

An end-to-end testing tool for the Kosmos autonomous AI scientist project. End-to-end tests check a complete workflow from its starting input to its final result, using local models, external AI services, or a Docker sandbox.

In plain words
What is it for?
Use it to automate complete Kosmos workflow tests with Ollama, Anthropic or OpenAI APIs, and Docker-based isolation.
Why use it?
It helps verify that the project's full workflows work together, rather than testing isolated parts only.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is jimmc414/Kosmos's own configuration. It tells Claude Code how to work on Kosmos itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Kosmos configures →

Reuse

Borrowing it

Nothing to install: this file belongs to jimmc414/Kosmos. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/jimmc414/Kosmos/master/.claude/skills/kosmos-e2e-testing/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/jimmc414/Kosmos

Made for: Claude Code.

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 kosmos-e2e-testing

README.md
[![agentmods](https://agentmods.dev/badge/skills/jimmc414/kosmos/kosmos-e2e-testing/github.svg)](https://agentmods.dev/skills/jimmc414/kosmos/kosmos-e2e-testing)
Your own site
<a href="https://agentmods.dev/skills/jimmc414/kosmos/kosmos-e2e-testing"><img src="https://agentmods.dev/badge/skills/jimmc414/kosmos/kosmos-e2e-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 kosmos-e2e-testing

Your own site · 80×15
<a href="https://agentmods.dev/skills/jimmc414/kosmos/kosmos-e2e-testing"><img src="https://agentmods.dev/badge/skills/jimmc414/kosmos/kosmos-e2e-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,036 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00000 $0.02036
Opus 5.5 $0.00000 $0.00814
Sonnet 5.5 $0.00000 $0.00407
Haiku 4.5 $0.00000 $0.00204

Measured 1mo ago against content hash 4e1aac6ef235, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

kosmos-e2e-testing scanned grade B with 2 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.

The scan reads SKILL.md. This mod also ships 14 executable files (lib/__init__.py, lib/config_manager.py, lib/provider_detector.py, …), 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

sudo systemctl start docker

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl http://localhost:11434/api/tags
.claude/skills/kosmos-e2e-testing/SKILL.md · 288 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 1mo ago First seen · 288 lines · 0 tokens per session scan B 4e1aac6ef235

Subscribe to this mod's changes

kosmos-e2e-testing is a skill published in the GitHub repository jimmc414/Kosmos (603 stars, last pushed 18d ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 2,036 tokens. A static security scan graded it B with 2 findings (asks for root, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

verify-omnigent

Drive Omnigent the way a user does and prove a behavior with recorded evidence, using an isolated server, runner, and mock model plus a feature map of every user entry point. Load before reproducing a user-facing bug, before claiming a fix works, or when reviewing whether a change covered every surface (session vs.…

omnigent-ai/omnigent · 100 tokens

test-master

Generates test files, creates mocking strategies, analyzes code coverage, designs test architectures, and produces test plans and defect reports across functional, performance, and security testing disciplines. Use when writing unit tests, integration tests, or E2E tests; creating test strategies or automation…

Jeffallan/claude-skills · 104 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

dogfood

Systematically explore and test a mobile app on iOS/Android with agent-device to find bugs, UX issues, and other problems. Use when asked to dogfood, QA, exploratory test, find issues, bug hunt, or test this app on mobile.

callstack/agent-device · 55 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

critique

Adversarial design critique of the current work. Render it, look at it, and argue for rejection. Run after the gates are green, never instead of them.

plugin87/ux-ui-agent-skills · 37 tokens