LLM Benchmarking with lm-evaluation-harness
Orchestra-Research/AI-Research-SKILLs
Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints.
[Beta] Session-start scan that surfaces relevant learnings, recent errors, and eval status before work begins.
$ npx skills add pskoett/pskoett-ai-skills --skill pre-flight-check -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install pskoett/pskoett-ai-skills pre-flight-check --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/pre-flight-check .claude/skills/pre-flight-check && 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 "pre-flight-check" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/pre-flight-check into .claude/skills/pre-flight-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pre-flight-check", 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/pre-flight-checkType 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 pre-flight-check -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install pskoett/pskoett-ai-skills pre-flight-check --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/pre-flight-check .agents/skills/pre-flight-check && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pre-flight-check" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/pre-flight-check into .agents/skills/pre-flight-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pre-flight-check", 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 pre-flight-check -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install pskoett/pskoett-ai-skills pre-flight-check --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/pre-flight-check .cursor/skills/pre-flight-check && 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 "pre-flight-check" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/pre-flight-check into .cursor/skills/pre-flight-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pre-flight-check", 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/pre-flight-check--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 pre-flight-check -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install pskoett/pskoett-ai-skills pre-flight-check --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/pre-flight-check .gemini/skills/pre-flight-check && 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 "pre-flight-check" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/pre-flight-check into .gemini/skills/pre-flight-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pre-flight-check", 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 pre-flight-checkInstalls 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 pre-flight-check -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/pre-flight-check .github/skills/pre-flight-check && 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 "pre-flight-check" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/pre-flight-check into .github/skills/pre-flight-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pre-flight-check", 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 pre-flight-check -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 pre-flight-check --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/pre-flight-check .opencode/skills/pre-flight-check && 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 "pre-flight-check" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/pre-flight-check into .opencode/skills/pre-flight-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pre-flight-check", 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.
pre-flight-check[Beta] Session-start scan that surfaces relevant learnings, recent errors, and eval status before work begins.
Pre Flight Check is an agent skill from pskoett/pskoett-ai-skills. [Beta] Session-start scan that surfaces relevant learnings, recent errors, and eval status before work begins. Bridges the outer loop back into the inner loop by making accumulated knowledge visible at task start. Activated via SessionStart hook or manually before major tasks.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/pre-flight.sh`).
It sits in AI & LLM Engineering, covering LLM evaluation.
5 steps, taken from the step headings 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.
Ships 1 file in scripts/ (Shell), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
Pre Flight Check loads about 1.4k tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 491 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); the scripts in this folder are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 491 words (~1,356 tokens).
“Surfaces relevant accumulated knowledge at the start of a session. This is the bridge that connects the outer loop back into the inner loop — it makes prior learnings visible before the agent starts work.”
SKILL.md and 1 other file (scripts) in skills/pre-flight-check of pskoett/pskoett-ai-skills.
Open the folder on GitHubat commit 5a836dc
Pre Flight Check 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 |
|---|---|---|---|---|---|---|
| Pre Flight Check this skillpskoett/pskoett-ai-skills | 315 | — | ~1.4k | Automated safety check: Pass | None | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| Hugging Face Local Model Evalshuggingface/skills | 11k | 2 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Looperksimback/looper | 710 | — | ~2.7k | Automated safety check: Notes | MIT | |
| Agent Eval Engineeringlangchain-ai/langchain-skills | 1.3k | — | ~4k | Automated safety check: Pass | MIT | |
| Quality FlywheelGoogleCloudPlatform/vertex-ai-samples | 792 | — | ~2k | Automated safety check: Pass | Apache-2.0 |
Orchestra-Research/AI-Research-SKILLs
Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints.
huggingface/skills
Runs evaluations of Hugging Face Hub models on local hardware with inspect-ai or lighteval, and helps choose between vLLM, Transformers and accelerate backends.
ksimback/looper
Scaffold a well-designed agent loop with best-practice coaching and a cross-model review council.
langchain-ai/langchain-skills
Builds agent evaluations in stages: inspect the repository and traces, agree a Task Spec with you, then build, audit and run a Harbor task with an independent verifier.
GoogleCloudPlatform/vertex-ai-samples
Evaluate and improve GenAI models and agents using the Google GenAI Evaluation SDK.
cloudnative-co/claude-code-starter-kit
Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles.
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.
Categories
[Beta] Session-start scan that surfaces relevant learnings, recent errors, and eval status before work begins. Pre Flight Check is an agent skill from pskoett/pskoett-ai-skills. [Beta] Session-start scan that surfaces relevant learnings, recent errors, and eval status before work begins.
Pre Flight Check fits situations like: tasks that involve LLM evaluation.
Run `npx skills add pskoett/pskoett-ai-skills --skill pre-flight-check -a claude-code`. Or copy the skill folder (skills/pre-flight-check in pskoett/pskoett-ai-skills) into .claude/skills/pre-flight-check in your project. Claude Code loads it when a task matches its description.
Run `npx skills add pskoett/pskoett-ai-skills --skill pre-flight-check -a codex`. Or copy the skill folder (skills/pre-flight-check in pskoett/pskoett-ai-skills) into .agents/skills/pre-flight-check 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 pre-flight-check -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pre-flight-check, .gemini/skills/pre-flight-check, .github/skills/pre-flight-check and .opencode/skills/pre-flight-check in your project.
Going by SKILL.md and its folder, Pre Flight Check needs a shell for the scripts in its folder. Our summary lists: A Bash shell.
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.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
No licence was found for Pre Flight Check or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1.4k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Pre Flight Check: LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars), Hugging Face Local Model Evals (huggingface/skills, 11k stars), Looper (ksimback/looper, 710 stars) and Agent Eval Engineering (langchain-ai/langchain-skills, 1.3k 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 315 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.