Agent skill

Factor Benchmark

by minihellboy in minihellboy/factorminer

Run FactorMiner benchmark workflows — the Table 1 Top-K freeze benchmark, memory and strategy ablations, transaction-cost pressure tests, and the full suite.

MITAuto-check passedAI & LLM Engineering

Install Factor Benchmark

skills CLI
$ npx skills add minihellboy/factorminer --skill factor-benchmark -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install minihellboy/factorminer factor-benchmark --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/minihellboy/factorminer.git skills-src && mkdir -p .claude/skills && cp -r skills-src/integrations/factor-researcher/plugin/skills/factor-benchmark .claude/skills/factor-benchmark && rm -rf skills-src

Use ~/.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/

Facts

Skill name
factor-benchmark
GitHub stars
123
Token cost
~576 tokens
SKILL.md length
215 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

Run FactorMiner benchmark workflows — the Table 1 Top-K freeze benchmark, memory and strategy ablations, transaction-cost pressure tests, and the full suite.

  • Compare FactorMiner against baselines
  • SKILL.md covers Modes, Workflow, Interpreting ablations and Guardrails
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Reproduce paper results

What it does

Factor Benchmark is an agent skill from minihellboy/factorminer. Run FactorMiner benchmark workflows — the Table 1 Top-K freeze benchmark, memory and strategy ablations, transaction-cost pressure tests, and the full suite. Use to compare FactorMiner against baselines or to reproduce paper results. Triggers on "benchmark", "ablation", "compare to baseline", "reproduce table 1", "cost pressure", "benchmark suite".

Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering. The repository describes itself as: A Self-Evolving Agent with Skills and Experience Memory for Financial Alpha Discovery. The licence is MIT.

When your agent uses it

  • Compare FactorMiner against baselines
  • Reproduce paper results
  • Compare to baseline
  • Reproduce table 1

Example prompts

  • “benchmark”
  • “ablation”
  • “compare to baseline”
  • “/factor-benchmark”

What it can do on your machine

Read from SKILL.md and the folder at commit 75e0560. 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 bash).

    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

Factor Benchmark loads about 576 tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 215 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~92
When it runs · the whole SKILL.md, loaded when a task matches
~576

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 minihellboy/factorminer at commit 75e0560, republished under its MIT licence (© minihellboy). 215 words, ~576 tokens.

Download SKILL.mdSave it as .claude/skills/factor-benchmark/SKILL.md (or your agent's skills folder).
name
factor-benchmark
description
Run FactorMiner benchmark workflows — the Table 1 Top-K freeze benchmark, memory and strategy ablations, transaction-cost pressure tests, and the full suite. Use to compare FactorMiner against baselines or to reproduce paper results. Triggers on "benchmark", "ablation", "compare to baseline", "reproduce table 1", "cost pressure", "benchmark suite".

Factor Benchmark

This skill runs FactorMiner's canonical benchmark surface — the rigorous comparison layer that turns a single run into evidence.

Modes

ModeWhat it answers
table1Top-K freeze benchmark across configured universes vs. baselines — the headline reproduction.
ablation-memoryHow much does experience memory contribute?
ablation-strategyEffect of memory policy × dependence metric × backend.
cost-pressureHow does the library hold up under rising transaction costs?
efficiencyOperator- and factor-level runtime/compute cost.
suiteThe full benchmark suite in one run.

Workflow

Run a benchmark
bash
factorminer -o output/bench benchmark table1 --data path/to/market_data.csv
bash
factorminer -o output/bench benchmark suite --data path/to/market_data.csv

Pass a pre-mined library to benchmark a specific run rather than mining fresh:

bash
factorminer -o output/bench benchmark table1 \
  --data market_data.csv \
  --factor-miner-library output/run1/factor_library.json

efficiency takes no data — it profiles the engine itself.

Read the result

The CLI prints a per-universe summary (library IC, ICIR, avg |ρ|) and writes JSON payloads into the output directory. Fold those JSON files into the research note with factor-report --benchmark.

Interpreting ablations

  • An ablation that removes a feature and barely moves the metric means that feature is not earning its compute on this dataset — report that plainly.
  • cost-pressure is the honesty check: a library that only wins at zero cost is not a result.

Guardrails

  • Benchmark numbers are comparative research evidence, not a performance guarantee.
  • Use the same dataset and splits across compared runs, or the comparison is meaningless.
  • Reproduction claims must cite the exact config and run directory.

© minihellboy, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in integrations/factor-researcher/plugin/skills/factor-benchmark of minihellboy/factorminer.

Open the folder on GitHubat commit 75e0560

Compare with similar skills

Factor Benchmark 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.

Factor Benchmark compared with similar skills
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Factor Benchmark this skillminihellboy/factorminer123—~576Automated safety check: PassMIT
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Add Uint Supportpytorch/pytorch104k2 repos~2.3kAutomated safety check: PassCustom licence
Peft Fine TuningOrchestra-Research/AI-Research-SKILLs13k9 repos~3.1kAutomated safety check: PassMIT
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs13k9 repos~3.3kAutomated safety check: PassMIT
1passwordtrpc-group/trpc-agent-go1.8k15 repos~656Automated safety check: PassApache-2.0

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Questions about Factor Benchmark

What does Factor Benchmark do?

Run FactorMiner benchmark workflows — the Table 1 Top-K freeze benchmark, memory and strategy ablations, transaction-cost pressure tests, and the full suite. Factor Benchmark is an agent skill from minihellboy/factorminer. Run FactorMiner benchmark workflows — the Table 1 Top-K freeze benchmark, memory and strategy ablations, transaction-cost pressure tests, and the full suite.

When should I use Factor Benchmark?

Factor Benchmark fits situations like: compare FactorMiner against baselines; reproduce paper results; compare to baseline; reproduce table 1.

How do I install Factor Benchmark in Claude Code?

Run `npx skills add minihellboy/factorminer --skill factor-benchmark -a claude-code`. Or copy the skill folder (integrations/factor-researcher/plugin/skills/factor-benchmark in minihellboy/factorminer) into .claude/skills/factor-benchmark in your project. Claude Code loads it when a task matches its description.

How do I install Factor Benchmark in Codex?

Run `npx skills add minihellboy/factorminer --skill factor-benchmark -a codex`. Or copy the skill folder (integrations/factor-researcher/plugin/skills/factor-benchmark in minihellboy/factorminer) into .agents/skills/factor-benchmark in your project. Codex loads it when a task matches its description.

Can I use Factor Benchmark 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 minihellboy/factorminer --skill factor-benchmark -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/factor-benchmark, .gemini/skills/factor-benchmark, .github/skills/factor-benchmark and .opencode/skills/factor-benchmark in your project.

What does Factor Benchmark need to run?

SKILL.md names no scripts, command-line tools or credentials: Factor Benchmark is instructions for the agent only.

Does Factor Benchmark 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 Factor Benchmark 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 Factor Benchmark use?

Factor Benchmark 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 Factor Benchmark use?

About 576 tokens (SKILL.md is roughly 2.3k 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 Factor Benchmark?

Skills that share tags, products or a category with Factor Benchmark: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), Peft Fine Tuning (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Factor Benchmark?

minihellboy (a GitHub user) maintains it in minihellboy/factorminer, which has 123 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on September 28, 2026.

Source: minihellboy/factorminer on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.