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.
Generate an evals file for a drafted skill and measure whether its trigger description fires on the right requests: five to eight phrases that should trigger it, five that should not, three golden…
Install Promoter Test
$ npx skills add mohitagw15856/pm-claude-skills --skill promoter-test -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mohitagw15856/pm-claude-skills promoter-test --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/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/promoter-test .claude/skills/promoter-test && 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 "promoter-test" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/promoter-test into .claude/skills/promoter-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "promoter-test", 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/mohitagw15856/pm-claude-skills/tree/main/skills/promoter-testType 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 mohitagw15856/pm-claude-skills --skill promoter-test -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mohitagw15856/pm-claude-skills promoter-test --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/promoter-test .agents/skills/promoter-test && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "promoter-test" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/promoter-test into .agents/skills/promoter-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "promoter-test", 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 mohitagw15856/pm-claude-skills --skill promoter-test -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mohitagw15856/pm-claude-skills promoter-test --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/promoter-test .cursor/skills/promoter-test && 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 "promoter-test" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/promoter-test into .cursor/skills/promoter-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "promoter-test", 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/mohitagw15856/pm-claude-skills.git --path skills/promoter-test--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 mohitagw15856/pm-claude-skills --skill promoter-test -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mohitagw15856/pm-claude-skills promoter-test --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/promoter-test .gemini/skills/promoter-test && 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 "promoter-test" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/promoter-test into .gemini/skills/promoter-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "promoter-test", 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 mohitagw15856/pm-claude-skills promoter-testInstalls 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 mohitagw15856/pm-claude-skills --skill promoter-test -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/promoter-test .github/skills/promoter-test && 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 "promoter-test" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/promoter-test into .github/skills/promoter-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "promoter-test", 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 mohitagw15856/pm-claude-skills --skill promoter-test -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mohitagw15856/pm-claude-skills promoter-test --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/promoter-test .opencode/skills/promoter-test && 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 "promoter-test" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/promoter-test into .opencode/skills/promoter-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "promoter-test", 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
promoter-test- GitHub stars
- 1.4k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 551 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 1,348
- Repo updated
- First seen
- Licence
- MIT
At a glance
Generate an evals file for a drafted skill and measure whether its trigger description fires on the right requests: five to eight phrases that should trigger it, five that should not, three golden…
- Description fires on the right requests: five to eight phrases that should trigger it
- SKILL.md covers What This Skill Produces, Required Inputs, Framework: Precision First and Programmatic Helper, plus 4 more sections
- Runs Python scripts from its folder; calls python3
- Five that should not
What it does
Promoter Test is an agent skill from mohitagw15856/pm-claude-skills. Generate an evals file for a drafted skill and measure whether its trigger description fires on the right requests: five to eight phrases that should trigger it, five that should not, three golden input and output pairs, then precision and recall against the description, with a rewrite loop when precision is below 0.8. Use when asked to test this skill's triggers, write evals for the new skill, check the description fires correctly, or as the third step of the promote loop. Produces an evals.json beside the…
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/promoter_test.py`).
It sits in AI & LLM Engineering, covering LLM evaluation. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.
When your agent uses it
- Description fires on the right requests: five to eight phrases that should trigger it
- Five that should not
- Three golden input and output pairs
- Then precision and recall against the description
Example prompts
- “/promoter-test”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 1cbf1f0. 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 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
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.
Context cost
Promoter Test loads about 1.2k tokens when it runs. Until then it costs about 150 tokens; SKILL.md has 551 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 mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 551 words, ~1,158 tokens.
Download SKILL.mdSave it as
.claude/skills/promoter-test/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- promoter-test
- description
- Generate an evals file for a drafted skill and measure whether its trigger description fires on the right requests: five to eight phrases that should trigger it, five that should not, three golden input and output pairs, then precision and recall against the description, with a rewrite loop when precision is below 0.8. Use when asked to test this skill's triggers, write evals for the new skill, check the description fires correctly, or as the third step of the promote loop. Produces an evals.json beside the skill, a case in the library's evals, and a precision and recall report.
- version
- 1.0.0
Promoter Test
A skill that fires on the wrong requests is worse than no skill, and one that never fires is invisible. The trigger is the description, so the description is what gets tested. This skill writes the labelled phrases, runs them against the description with the same keyword matching the library's suggestion hook uses, reports precision and recall, and rewrites the description until precision clears 0.8.
Third step of the promote loop. Follows promoter-draft; feeds promoter-publish.
What This Skill Produces
skills/<name>/evals.json:should_fire(5 to 8 phrases),should_not_fire(5 phrases, including near misses),golden(3 input and expected-output pairs)- One curated case in
evals/cases.jsonfor the library's coverage ratchet and the judged leaderboard - A precision and recall report with the phrases that were missed and the false alarms listed
- A rewritten description when precision was below 0.8, and the re-run numbers
Required Inputs
Ask for these if not provided:
- The drafted skill (path to its SKILL.md)
- The scan pattern it came from, for the real phrasings; otherwise ask the user for five ways they would say it
- Two or three near-miss jobs: things that sound similar but should go to a different skill (these become the hardest negatives)
Framework: Precision First
- Positives are the user's own phrasings, generalised, plus one or two a colleague would use.
- Negatives must include near misses. "Write a haiku about deploys" is an easy negative for a release-notes skill; "write the announcement post for the launch" is the one that matters.
- Goldens are the three worked examples from the draft, with the expected output abridged to the parts a judge can check.
- The match is keyword overlap: a phrase fires when at least a third of its content terms appear in the description. It is deliberately crude, because that is what a model's first glance at 1,000 descriptions is like.
- The loop: precision below 0.8 means the description is too broad or a negative shares its vocabulary; recall below 0.8 means a phrasing is missing from "Use when". Rewrite, re-run, stop at 0.8 precision with the best recall that allows.
Show full SKILL.md (206 more words)Show less
Programmatic Helper
python3 skills/promoter-test/scripts/promoter_test.py skills/<name>/SKILL.md skills/<name>/evals.json
python3 skills/promoter-test/scripts/promoter_test.py skills/<name>/SKILL.md skills/<name>/evals.json --rewriteExit code 0 when precision is 0.8 or above, 2 otherwise. --rewrite prints a proposed description that adds the missed trigger terms and lists terms that only appear in negatives.
Output Format
Trigger test: <name>
| Run | Precision | Recall | Missed | False alarms |
|---|---|---|---|---|
| 1 | 0.67 | 0.83 | ... | ... |
| 2 (rewritten) | 0.86 | 0.83 | ... | ... |
Final description: "..."
Files written: skills/<name>/evals.json, evals/cases.json (+1 case)
Quality Checks
- 5 to 8 positives, 5 negatives with at least two near misses, 3 goldens
- Precision 0.8 or above on the final run, recall reported honestly
- Every rewrite is shown, not just the winning description
- The evals/cases.json entry uses the first golden's input
- Nothing in the phrases names a real person, company or dataset
Anti-Patterns
- Easy negatives only. If nothing in the negatives shares a word with the skill, the test proves nothing.
- Chasing recall by stuffing the description. A description that lists forty phrases fires on everything.
- Skipping the library case. The coverage ratchet fails the pull request without it.
- Testing against the body instead of the description. Only the description is read at trigger time.
Example Trigger Phrases
- "Test the triggers on the new skill."
- "Write evals for release-notes-from-git-log."
- "Does this description fire on the right prompts?"
- "Run the third step of the promote loop."
© mohitagw15856, 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 1 other file (scripts) in skills/promoter-test of mohitagw15856/pm-claude-skills.
- SKILL.md
- scripts/promoter_test.py
Open the folder on GitHubat commit 1cbf1f0
Compare with similar skills
Promoter Test 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 |
|---|---|---|---|---|---|---|
| Promoter Test this skillmohitagw15856/pm-claude-skills | 1.4k | — | ~1.2k | Automated safety check: Pass | MIT | |
| 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 |
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Related
Categories
Questions about Promoter Test
What does Promoter Test do?
Generate an evals file for a drafted skill and measure whether its trigger description fires on the right requests: five to eight phrases that should trigger it, five that should not, three golden…. Promoter Test is an agent skill from mohitagw15856/pm-claude-skills.8.
When should I use Promoter Test?
Promoter Test fits situations like: description fires on the right requests: five to eight phrases that should trigger it; five that should not; three golden input and output pairs; then precision and recall against the description.
How do I install Promoter Test in Claude Code?
Run `npx skills add mohitagw15856/pm-claude-skills --skill promoter-test -a claude-code`. Or copy the skill folder (skills/promoter-test in mohitagw15856/pm-claude-skills) into .claude/skills/promoter-test in your project. Claude Code loads it when a task matches its description.
How do I install Promoter Test in Codex?
Run `npx skills add mohitagw15856/pm-claude-skills --skill promoter-test -a codex`. Or copy the skill folder (skills/promoter-test in mohitagw15856/pm-claude-skills) into .agents/skills/promoter-test in your project. Codex loads it when a task matches its description.
Can I use Promoter Test 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 mohitagw15856/pm-claude-skills --skill promoter-test -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/promoter-test, .gemini/skills/promoter-test, .github/skills/promoter-test and .opencode/skills/promoter-test in your project.
What does Promoter Test need to run?
Going by SKILL.md and its folder, Promoter Test needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Promoter Test 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 Promoter Test 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 Promoter Test use?
Promoter Test 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 Promoter Test use?
About 1.2k tokens (SKILL.md is roughly 4.6k 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 Promoter Test?
Skills that share tags, products or a category with Promoter Test: 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.
Who maintains Promoter Test?
mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.
Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.