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.
A skill your agent uses when a goldset with graders is ready to run — executes the evaluation pyramid and validates evaluator quality (SLA compliance, TPR/TNR, statistical accuracy).
Install Evals Validate
$ npx skills add tikalk/adlc-team-skills --skill evals-validate -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tikalk/adlc-team-skills evals-validate --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/tikalk/adlc-team-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/evals/evals-validate .claude/skills/evals-validate && 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 "evals-validate" agent skill from https://github.com/tikalk/adlc-team-skills/tree/main/skills/evals/evals-validate into .claude/skills/evals-validate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evals-validate", 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/tikalk/adlc-team-skills/tree/main/skills/evals/evals-validateType 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 tikalk/adlc-team-skills --skill evals-validate -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tikalk/adlc-team-skills evals-validate --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tikalk/adlc-team-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/evals/evals-validate .agents/skills/evals-validate && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "evals-validate" agent skill from https://github.com/tikalk/adlc-team-skills/tree/main/skills/evals/evals-validate into .agents/skills/evals-validate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evals-validate", 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 tikalk/adlc-team-skills --skill evals-validate -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tikalk/adlc-team-skills evals-validate --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tikalk/adlc-team-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/evals/evals-validate .cursor/skills/evals-validate && 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 "evals-validate" agent skill from https://github.com/tikalk/adlc-team-skills/tree/main/skills/evals/evals-validate into .cursor/skills/evals-validate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evals-validate", 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/tikalk/adlc-team-skills.git --path skills/evals/evals-validate--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 tikalk/adlc-team-skills --skill evals-validate -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tikalk/adlc-team-skills evals-validate --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tikalk/adlc-team-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/evals/evals-validate .gemini/skills/evals-validate && 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 "evals-validate" agent skill from https://github.com/tikalk/adlc-team-skills/tree/main/skills/evals/evals-validate into .gemini/skills/evals-validate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evals-validate", 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 tikalk/adlc-team-skills evals-validateInstalls 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 tikalk/adlc-team-skills --skill evals-validate -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tikalk/adlc-team-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/evals/evals-validate .github/skills/evals-validate && 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 "evals-validate" agent skill from https://github.com/tikalk/adlc-team-skills/tree/main/skills/evals/evals-validate into .github/skills/evals-validate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evals-validate", 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 tikalk/adlc-team-skills --skill evals-validate -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tikalk/adlc-team-skills evals-validate --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tikalk/adlc-team-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/evals/evals-validate .opencode/skills/evals-validate && 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 "evals-validate" agent skill from https://github.com/tikalk/adlc-team-skills/tree/main/skills/evals/evals-validate into .opencode/skills/evals-validate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evals-validate", 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
evals-validate- GitHub stars
- 141
- Token cost
- ~850 tokens
- SKILL.md length
- 374 words
- Files
- 3 (incl. scripts)
- Skills in repo
- 44
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when a goldset with graders is ready to run — executes the evaluation pyramid and validates evaluator quality (SLA compliance, TPR/TNR, statistical accuracy).
- Works in 5 steps: Execute Evaluations → Compute Statistical Validation → SLA Compliance Check → …
- A goldset with graders is ready to run — executes the evaluation pyramid and validates evaluator quality (SLA compliance
- SKILL.md covers What this skill does, When to use, When NOT to use and Process, plus 1 more section
- Runs Shell and PowerShell scripts from its folder; calls npx, pytest and python
What it does
Evals Validate is an agent skill from tikalk/adlc-team-skills. Use when a goldset with graders is ready to run — executes the evaluation pyramid and validates evaluator quality (SLA compliance, TPR/TNR, statistical accuracy).
Its SKILL.md is about 850 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts (for example `scripts/bash/setup-evals-validate.sh`).
It sits in AI & LLM Engineering, covering LLM evaluation. The repository describes itself as: Agent skills for the Agentic SDLC: team lifecycle (team-boot, team-learn, team-init, team-repair), software factory, evals, CDR lifecycle with confidence scoring, and… The licence is MIT.
When your agent uses it
- A goldset with graders is ready to run — executes the evaluation pyramid and validates evaluator quality (SLA compliance
- Statistical accuracy)
Example prompts
- “/evals-validate”
Requirements
- Python 3
- Node.js
- A Bash shell
- PowerShell
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 2dbed36. 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
Ships 2 files in scripts/ (Shell and PowerShell), which the agent can run.
Shell commands in SKILL.md call:
npxpytestpython
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
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.
Context cost
Evals Validate loads about 850 tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 374 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); the scripts in this folder are not scanned.
SKILL.md
The full file from tikalk/adlc-team-skills at commit 2dbed36, republished under its MIT licence (© tikalk). 374 words, ~850 tokens.
Download SKILL.mdSave it as
.claude/skills/evals-validate/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- evals-validate
- description
- Use when a goldset with graders is ready to run — executes the evaluation pyramid and validates evaluator quality (SLA compliance, TPR/TNR, statistical accuracy).
- disable-model-invocation
- true
evals-validate
What this skill does
Conducts comprehensive validation of the implemented evaluation system following EDD principles to ensure production readiness through statistical analysis, performance verification, and quality assurance.
Output:
- Statistical Validation - TPR/TNR analysis, accuracy metrics, confidence intervals
- Performance Validation - SLA compliance verification for evaluation pyramid tiers
- Quality Assurance - Goldset integrity, example balance, coverage analysis
- Holdout Dataset Validation - Unbiased accuracy assessment on reserved test set
- Auto-handoff to
/evals-analyzefor closed loop trajectory analysis
Key EDD Principles Applied:
- Principle IV: Evaluation Pyramid - Tier performance SLA validation (Tier 1 <30s, Tier 2 <5min)
- Principle II: Binary Pass/Fail - Statistical compliance verification
- Principle IX: Test Data as Code - Holdout dataset validation integrity
- Principle III: Error Analysis - Pattern stability validation
When to use
- After
/evals-implement: Execute the evaluation suite and measure quality - CI/CD Pipeline gate: Run evaluations before release to ensure no regressions
- Periodic audit: Verify evaluator accuracy on holdout data to check for model drift
When NOT to use
- Evaluator not generated: Run
/evals-implementto build grader files first - Analysing failure traces: Use
/evals-analyzeto extract deep insights from run results
Process
User Input
$ARGUMENTS--holdout-only— Validate only on holdout dataset (unbiased validation)--performance-only— Skip statistical analysis, focus on SLA compliance--metrics METRICS— Specific metrics to validate (tpr, tnr, accuracy, performance)
Execution Steps
Phase 1: Execute Evaluations
Runs the underlying framework CLI directly:
- PromptFoo:
npx promptfoo eval --config evals/promptfoo/config.js - DeepEval:
pytest evals/deepeval/ -vorpython evals/deepeval/config.py
Show full SKILL.md (139 more words)Show less
Phase 2: Compute Statistical Validation
- Parse generated results JSON from
evals/results/. - Calculate True Positive Rate (TPR) and True Negative Rate (TNR).
- Calculate overall accuracy with 95% confidence intervals.
- Ensure no Likert scales or numerical scores leak into results.
Phase 3: SLA Compliance Check
- Measure execution times for Tier 1 and Tier 2.
- Verify Tier 1 completes under 30 seconds.
- Verify Tier 2 completes under 5 minutes.
- Check headroom analysis (SLA budget consumed).
Phase 4: Write Validation Report
- Write validation results to
evals/results/validation_report.md. - Include pass/fail counts, TPR/TNR table, SLA timings, and holdout set results.
Phase 5: Auto-Handoff
Trigger /evals-analyze to close the loop.
Verification
- Evaluation execution successfully completed with results JSON written to
evals/results/ evals/results/validation_report.mdcreated with TPR/TNR and SLA metrics- Statistical metrics calculated with confidence intervals
- Headroom and SLA compliance verified
- Handover summary lists results and validation report path
© tikalk, 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 2 other files (scripts) in skills/evals/evals-validate of tikalk/adlc-team-skills.
- SKILL.md
- scripts/bash/setup-evals-validate.sh
- scripts/powershell/setup-evals-validate.ps1
Open the folder on GitHubat commit 2dbed36
Compare with similar skills
Evals Validate 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 |
|---|---|---|---|---|---|---|
| Evals Validate this skilltikalk/adlc-team-skills | 141 | — | ~850 | Automated safety check: Pass | MIT | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| Azure AI Projects Python SDKmicrosoft/skills | 3.1k | 6 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Fine-Tuning ExpertJeffallan/claude-skills | 12k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Looperksimback/looper | 710 | — | ~2.7k | Automated safety check: Notes | MIT | |
| Hugging Face Local Model Evalshuggingface/skills | 11k | 2 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 |
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Categories
Questions about Evals Validate
What does Evals Validate do?
A skill your agent uses when a goldset with graders is ready to run — executes the evaluation pyramid and validates evaluator quality (SLA compliance, TPR/TNR, statistical accuracy). Evals Validate is an agent skill from tikalk/adlc-team-skills. Use when a goldset with graders is ready to run — executes the evaluation pyramid and validates evaluator quality (SLA compliance, TPR/TNR, statistical accuracy).
When should I use Evals Validate?
Evals Validate fits situations like: A goldset with graders is ready to run — executes the evaluation pyramid and validates evaluator quality (SLA compliance; statistical accuracy).
How do I install Evals Validate in Claude Code?
Run `npx skills add tikalk/adlc-team-skills --skill evals-validate -a claude-code`. Or copy the skill folder (skills/evals/evals-validate in tikalk/adlc-team-skills) into .claude/skills/evals-validate in your project. Claude Code loads it when a task matches its description.
How do I install Evals Validate in Codex?
Run `npx skills add tikalk/adlc-team-skills --skill evals-validate -a codex`. Or copy the skill folder (skills/evals/evals-validate in tikalk/adlc-team-skills) into .agents/skills/evals-validate in your project. Codex loads it when a task matches its description.
Can I use Evals Validate 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 tikalk/adlc-team-skills --skill evals-validate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/evals-validate, .gemini/skills/evals-validate, .github/skills/evals-validate and .opencode/skills/evals-validate in your project.
What does Evals Validate need to run?
Going by SKILL.md and its folder, Evals Validate needs a shell and PowerShell for the scripts in its folder and the command-line tools its instructions call (npx, pytest and python). Our summary lists: Python 3; Node.js; A Bash shell; PowerShell.
Does Evals Validate access the network?
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Evals Validate 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Evals Validate use?
Evals Validate is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Evals Validate use?
About 850 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Evals Validate?
Skills that share tags, products or a category with Evals Validate: LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars), Azure AI Projects Python SDK (microsoft/skills, 3.1k stars), Fine-Tuning Expert (Jeffallan/claude-skills, 12k stars) and Looper (ksimback/looper, 710 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Evals Validate?
tikalk (a GitHub organization) maintains it in tikalk/adlc-team-skills, which has 141 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on October 6, 2026.
Source: tikalk/adlc-team-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.