RAG Observability Evals
sickn33/agentic-awesome-skills
Monitor and evaluate RAG systems with retrieval quality metrics, groundedness checks, hallucination detection, and continuous regression testing.
[Beta] CI-only eval regression runner using gh-aw (GitHub Agentic Workflows).
$ npx skills add pskoett/pskoett-ai-skills --skill eval-creator-ci -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install pskoett/pskoett-ai-skills eval-creator-ci --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/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/eval-creator-ci .claude/skills/eval-creator-ci && 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 "eval-creator-ci" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/eval-creator-ci into .claude/skills/eval-creator-ci/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eval-creator-ci", 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/pskoett/pskoett-ai-skills/tree/main/skills/eval-creator-ciType 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 pskoett/pskoett-ai-skills --skill eval-creator-ci -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install pskoett/pskoett-ai-skills eval-creator-ci --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/eval-creator-ci .agents/skills/eval-creator-ci && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "eval-creator-ci" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/eval-creator-ci into .agents/skills/eval-creator-ci/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eval-creator-ci", 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 pskoett/pskoett-ai-skills --skill eval-creator-ci -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install pskoett/pskoett-ai-skills eval-creator-ci --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/eval-creator-ci .cursor/skills/eval-creator-ci && 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 "eval-creator-ci" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/eval-creator-ci into .cursor/skills/eval-creator-ci/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eval-creator-ci", 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/pskoett/pskoett-ai-skills.git --path skills/eval-creator-ci--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 pskoett/pskoett-ai-skills --skill eval-creator-ci -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install pskoett/pskoett-ai-skills eval-creator-ci --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/eval-creator-ci .gemini/skills/eval-creator-ci && 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 "eval-creator-ci" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/eval-creator-ci into .gemini/skills/eval-creator-ci/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eval-creator-ci", 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 pskoett/pskoett-ai-skills eval-creator-ciInstalls 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 pskoett/pskoett-ai-skills --skill eval-creator-ci -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/eval-creator-ci .github/skills/eval-creator-ci && 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 "eval-creator-ci" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/eval-creator-ci into .github/skills/eval-creator-ci/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eval-creator-ci", 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 pskoett/pskoett-ai-skills --skill eval-creator-ci -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install pskoett/pskoett-ai-skills eval-creator-ci --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/eval-creator-ci .opencode/skills/eval-creator-ci && 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 "eval-creator-ci" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/eval-creator-ci into .opencode/skills/eval-creator-ci/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eval-creator-ci", 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.
eval-creator-ci[Beta] CI-only eval regression runner using gh-aw (GitHub Agentic Workflows).
Eval Creator CI is an agent skill from pskoett/pskoett-ai-skills. [Beta] CI-only eval regression runner using gh-aw (GitHub Agentic Workflows). Runs all eval cases in .evals/ on a schedule or per-PR, reports pass/fail results, and can block merges on regressions. Also creates new eval cases from promoted patterns flagged by learning-aggregator-ci. Use when: you want automated regression testing of promoted rules in CI/headless pipelines. For interactive eval creation and runs, use eval-creator.
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/workflow-example.md`).
It sits in AI & LLM Engineering, covering LLM evaluation and QA and bug reports. It works with GitHub.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 5a836dc. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
ghnpxFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use gh and npx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Eval Creator CI loads about 2.2k tokens when it runs, and up to ~3.7k if it reads all its reference files. Until then it costs about 112 tokens; SKILL.md has 794 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.
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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 794 words (~2,233 tokens).
SKILL.md and 1 other file (references) in skills/eval-creator-ci of pskoett/pskoett-ai-skills.
Open the folder on GitHubat commit 5a836dc
Eval Creator CI 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 |
|---|---|---|---|---|---|---|
| Eval Creator CI this skillpskoett/pskoett-ai-skills | 314 | — | ~2.2k | Automated safety check: Pass | None | |
| RAG Observability Evalssickn33/agentic-awesome-skills | 47k | 2 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Benchmark RunnerRConsortium/pharma-skills | 119 | — | ~5.3k | Automated safety check: Pass | MIT | |
| Onboarddavepoon/buildwithclaude | 3.6k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Octocode Benchmark Runnerbgauryy/octocode | 949 | — | ~2.1k | Automated safety check: Pass | MIT | |
| AI Project Copilotsun461941-hub/ai-project-copilot | 100 | — | ~3k | Automated safety check: Pass | MIT |
sickn33/agentic-awesome-skills
Monitor and evaluate RAG systems with retrieval quality metrics, groundedness checks, hallucination detection, and continuous regression testing.
RConsortium/pharma-skills
Auto-discover all skills with evals in RConsortium/pharma-skills, benchmark each with vs.
davepoon/buildwithclaude
Set up CIAgent regression testing for the AI agent in this repo — write a runner, record golden baselines, generate a test spec, and verify it.
bgauryy/octocode
Runs blind pairwise comparisons of Octocode against a gh-based baseline over markdown research questions, scored by total characters through the model rather than self-report.
sun461941-hub/ai-project-copilot
A skill your agent uses to turn an AI idea or existing repository into a credible open-source product and to run evidence-first repository engineering across codebase discovery, context-efficient…
frontier-harness-eval/eval
Benchmark a third-party coding-agent harness against FrontierHarness Eval using Runta runtimes.
pskoett/pskoett-ai-skills
Captures learnings, errors, corrections, and feature requests to enable continuous improvement.
pskoett/pskoett-ai-skills
Captures learnings, errors, corrections, and feature requests to enable continuous improvement.
pskoett/pskoett-ai-skills
Active runtime recovery for coding agents: when something breaks mid-task, diagnose the root cause, write a fix, VERIFY by re-running the broken thing, then file a HEAL- entry to .learnings/HEALS.md…
pskoett/pskoett-ai-skills
Validates all interactive skills in this repo against the Agent Skills spec, project conventions, and structural requirements.
pskoett/pskoett-ai-skills
Validates all CI skills in this repo. An agent skill from pskoett/pskoett-ai-skills.
pskoett/pskoett-ai-skills
Revalidate persistent agent knowledge by classifying why it can become stale and how quickly it changes, then retain, revise, externalize, or retire it.
Works with
Categories
[Beta] CI-only eval regression runner using gh-aw (GitHub Agentic Workflows). Eval Creator CI is an agent skill from pskoett/pskoett-ai-skills. [Beta] CI-only eval regression runner using gh-aw (GitHub Agentic Workflows).
Eval Creator CI fits situations like: : you want automated regression testing of promoted rules in CI/headless pipelines; tasks that involve LLM evaluation; tasks that involve QA and bug reports.
Run `npx skills add pskoett/pskoett-ai-skills --skill eval-creator-ci -a claude-code`. Or copy the skill folder (skills/eval-creator-ci in pskoett/pskoett-ai-skills) into .claude/skills/eval-creator-ci in your project. Claude Code loads it when a task matches its description.
Run `npx skills add pskoett/pskoett-ai-skills --skill eval-creator-ci -a codex`. Or copy the skill folder (skills/eval-creator-ci in pskoett/pskoett-ai-skills) into .agents/skills/eval-creator-ci in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add pskoett/pskoett-ai-skills --skill eval-creator-ci -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/eval-creator-ci, .gemini/skills/eval-creator-ci, .github/skills/eval-creator-ci and .opencode/skills/eval-creator-ci in your project.
Going by SKILL.md and its folder, Eval Creator CI needs the command-line tools its instructions call (gh and npx). Our summary lists: Node.js.
SKILL.md contains no URLs. Its commands use gh and npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
No licence was found for Eval Creator CI or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 2.2k tokens (SKILL.md is roughly 8.9k 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 1.5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Eval Creator CI: RAG Observability Evals (sickn33/agentic-awesome-skills, 47k stars), Benchmark Runner (RConsortium/pharma-skills, 119 stars), Onboard (davepoon/buildwithclaude, 3.6k stars) and Octocode Benchmark Runner (bgauryy/octocode, 949 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
pskoett (a GitHub user) maintains it in pskoett/pskoett-ai-skills, which has 314 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 5, 2026.
Source: pskoett/pskoett-ai-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.