Model Serving Kubernetes
BagelHole/DevOps-Security-Agent-Skills
Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server.
Agent skill
Experiment Verification Monitoring
by hashgraph-online in hashgraph-online/awesome-codex-plugins
Verify and monitor running experiments for operational quality.
Install Experiment Verification Monitoring
$ npx skills add hashgraph-online/awesome-codex-plugins --skill experiment-verification-monitoring -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins experiment-verification-monitoring --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/experiment-verification-monitoring .claude/skills/experiment-verification-monitoring && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "experiment-verification-monitoring" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/experiment-verification-monitoring into .claude/skills/experiment-verification-monitoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-verification-monitoring", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/experiment-verification-monitoringType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill experiment-verification-monitoring -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins experiment-verification-monitoring --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/experiment-verification-monitoring .agents/skills/experiment-verification-monitoring && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "experiment-verification-monitoring" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/experiment-verification-monitoring into .agents/skills/experiment-verification-monitoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-verification-monitoring", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill experiment-verification-monitoring -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins experiment-verification-monitoring --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/experiment-verification-monitoring .cursor/skills/experiment-verification-monitoring && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "experiment-verification-monitoring" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/experiment-verification-monitoring into .cursor/skills/experiment-verification-monitoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-verification-monitoring", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/hashgraph-online/awesome-codex-plugins.git --path plugins/LVTD-LLC/skills/skills/experiment-verification-monitoring--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill experiment-verification-monitoring -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins experiment-verification-monitoring --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/experiment-verification-monitoring .gemini/skills/experiment-verification-monitoring && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "experiment-verification-monitoring" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/experiment-verification-monitoring into .gemini/skills/experiment-verification-monitoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-verification-monitoring", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install hashgraph-online/awesome-codex-plugins experiment-verification-monitoringInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add hashgraph-online/awesome-codex-plugins --skill experiment-verification-monitoring -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/experiment-verification-monitoring .github/skills/experiment-verification-monitoring && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "experiment-verification-monitoring" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/experiment-verification-monitoring into .github/skills/experiment-verification-monitoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-verification-monitoring", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill experiment-verification-monitoring -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins experiment-verification-monitoring --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/experiment-verification-monitoring .opencode/skills/experiment-verification-monitoring && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "experiment-verification-monitoring" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/experiment-verification-monitoring into .opencode/skills/experiment-verification-monitoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-verification-monitoring", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
experiment-verification-monitoring- GitHub stars
- 1.3k
- Token cost
- ~771 tokens
- SKILL.md length
- 232 words
- Files
- 6 (incl. references)
- Skills in repo
- 716
- Repo updated
- First seen
- Licence
- MIT
At a glance
Verify and monitor running experiments for operational quality.
- Works in 6 steps: Define the experiment quality risks the… → Add prelaunch verification for… → Add early launch canaries and active… → …
- Designing prelaunch QA
- SKILL.md covers Source Traceability, Reference Routing, Workflow and Output Format, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Experiment Verification Monitoring is an agent skill from hashgraph-online/awesome-codex-plugins. Verify and monitor running experiments for operational quality. Use when designing prelaunch QA, spot-check tooling, experiment canaries, A/A tests, leakage checks, interference monitoring, active experiment dashboards, alerts, or an experimentation quality roadmap.
Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `guidelines.md`, `references/core/examples.md` and `references/core/knowledge.md`). Compatibility notes: Codex, Claude Code, and other Agent Skills-compatible clients.
It sits in DevOps & Cloud, covering A/B testing and Deployment. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.
When your agent uses it
- Designing prelaunch QA
- Spot-check tooling
- Experiment canaries
- Interference monitoring
Example prompts
- “/experiment-verification-monitoring”
Requirements
- Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients.
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Define the experiment quality risks the platform must catch.
- Add prelaunch verification for assignment, targeting, exposure, treatment,
- Add early launch canaries and active monitoring for misconfiguration.
- Run periodic A/A tests to validate infrastructure health.
- Track quality metrics and update the experimentation playbook.
- Define owners and escalation paths for active experiment issues.
What it can do on your machine
Read from SKILL.md and the folder at commit 3e1456a. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Codex, Claude Code, and other Agent Skills-compatible clients.
From compatibility in the SKILL.md frontmatter.
Context cost
Experiment Verification Monitoring loads about 771 tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 75 tokens; SKILL.md has 232 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from hashgraph-online/awesome-codex-plugins at commit 3e1456a, republished under its MIT licence (© hashgraph-online). 232 words, ~771 tokens.
Download SKILL.mdSave it as
.claude/skills/experiment-verification-monitoring/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- experiment-verification-monitoring
- description
- Verify and monitor running experiments for operational quality. Use when designing prelaunch QA, spot-check tooling, experiment canaries, A/A tests, leakage checks, interference monitoring, active experiment dashboards, alerts, or an experimentation quality roadmap.
- compatibility
- Codex, Claude Code, and other Agent Skills-compatible clients.
- license
- MIT
- metadata.version
- 0.1.0
- metadata.displayName
- Experiment Verification Monitoring
- metadata.category
- Product Management
- metadata.tags
- practical-ab-testing,next-level-ab-testing,ab-testing,experimentation,quality-assurance
Experiment Verification Monitoring
Use this skill to prevent misconfigured or unhealthy experiments from producing bad evidence. It focuses on verification before launch, canaries, A/A tests, leakage and interference checks, active monitoring, and quality roadmap metrics.
Source Traceability
Primary source: Next-Level A/B Testing by Leemay Nassery. Guidance is transformed and paraphrased from Chapter 5 on experiment effectiveness, prelaunch verification, QA tooling, canaries, A/A tests, spillover effects, and active monitoring.
Related skills:
ab-test-design-brieffor planning an experiment before verification.experimentation-throughput-strategyfor monitoring overlap conflicts.trustworthy-experiment-insightsfor statistical credibility after results.
Reference Routing
| Need | Read |
|---|---|
| Verification concepts | references/core/knowledge.md |
| QA, canary, A/A, and monitoring rules | references/core/rules.md |
| Failure scenarios and examples | references/core/examples.md |
| Step-by-step quality roadmap | workflows/create-experiment-quality-roadmap.md |
Workflow
- Define the experiment quality risks the platform must catch.
- Add prelaunch verification for assignment, targeting, exposure, treatment, metrics, and user experience.
- Add early launch canaries and active monitoring for misconfiguration.
- Run periodic A/A tests to validate infrastructure health.
- Track quality metrics and update the experimentation playbook.
- Define owners and escalation paths for active experiment issues.
Output Format
# Experiment Verification And Monitoring Plan
## Quality Risks
[What errors or trust failures this plan should prevent.]
## Prelaunch Checks
| Check | Method | Owner | Pass/Fail Criteria |
|-------|--------|-------|--------------------|
## Active Monitoring
- Canary:
- Dashboards:
- Alerts:
- Leakage/interference checks:
## Platform Health
- A/A test cadence:
- Quality metrics:
- Review process:
## Escalation Rules
- Pause if:
- Restart if:
- Investigate if:Quality Bar
- Do not rely on manual QA alone when the platform has recurring setup errors.
- Do not launch experiments without verifying assignment, exposure, and metrics.
- Do not treat A/A tests as one-time setup checks; use them as periodic health checks when platform trust matters.
- Do not monitor only final results; active tests need early health signals.
© hashgraph-online, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 5 other files (references) in plugins/LVTD-LLC/skills/skills/experiment-verification-monitoring of hashgraph-online/awesome-codex-plugins.
- SKILL.md
- guidelines.md
- references/core/examples.md
- references/core/knowledge.md
- references/core/rules.md
- workflows/create-experiment-quality-roadmap.md
Open the folder on GitHubat commit 3e1456a
Compare with similar skills
Experiment Verification Monitoring next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Experiment Verification Monitoring this skillhashgraph-online/awesome-codex-plugins | 1.3k | — | ~771 | Automated safety check: Pass | MIT | |
| Model Serving KubernetesBagelHole/DevOps-Security-Agent-Skills | 1.2k | — | ~2.1k | Automated safety check: Pass | MIT | |
| A B Test Config Creatorjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~563 | Automated safety check: Pass | MIT | |
| Multiline Validationmicrosoft/Docker-Provider | 174 | — | ~2.5k | Automated safety check: Pass | Custom licence | |
| Flyio Hello Worldjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Groq Prod Checklistjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.5k | Automated safety check: Notes | MIT |
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Categories
Questions about Experiment Verification Monitoring
What does Experiment Verification Monitoring do?
Verify and monitor running experiments for operational quality. Experiment Verification Monitoring is an agent skill from hashgraph-online/awesome-codex-plugins. Verify and monitor running experiments for operational quality.
When should I use Experiment Verification Monitoring?
Experiment Verification Monitoring fits situations like: designing prelaunch QA; spot-check tooling; experiment canaries; interference monitoring.
How do I install Experiment Verification Monitoring in Claude Code?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill experiment-verification-monitoring -a claude-code`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/experiment-verification-monitoring in hashgraph-online/awesome-codex-plugins) into .claude/skills/experiment-verification-monitoring in your project. Claude Code loads it when a task matches its description.
How do I install Experiment Verification Monitoring in Codex?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill experiment-verification-monitoring -a codex`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/experiment-verification-monitoring in hashgraph-online/awesome-codex-plugins) into .agents/skills/experiment-verification-monitoring in your project. Codex loads it when a task matches its description.
Can I use Experiment Verification Monitoring in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill experiment-verification-monitoring -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/experiment-verification-monitoring, .gemini/skills/experiment-verification-monitoring, .github/skills/experiment-verification-monitoring and .opencode/skills/experiment-verification-monitoring in your project.
What does Experiment Verification Monitoring need to run?
SKILL.md names no scripts, command-line tools or credentials: Experiment Verification Monitoring is instructions for the agent only. Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients..
Does Experiment Verification Monitoring access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Experiment Verification Monitoring safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Experiment Verification Monitoring use?
Experiment Verification Monitoring is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Experiment Verification Monitoring use?
About 771 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.9k tokens, read only when the agent opens those files.
What are the alternatives to Experiment Verification Monitoring?
Skills that share tags, products or a category with Experiment Verification Monitoring: Model Serving Kubernetes (BagelHole/DevOps-Security-Agent-Skills, 1.2k stars), A B Test Config Creator (jeremylongshore/tons-of-skills-marketplace, 2.8k stars), Multiline Validation (microsoft/Docker-Provider, 174 stars) and Flyio Hello World (jeremylongshore/tons-of-skills-marketplace, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Experiment Verification Monitoring?
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,267 GitHub stars. The repository holds 716 skills in this directory. The repository was last updated on October 10, 2026.
Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.