Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
Run FactorMiner benchmark workflows — the Table 1 Top-K freeze benchmark, memory and strategy ablations, transaction-cost pressure tests, and the full suite.
$ npx skills add minihellboy/factorminer --skill factor-benchmark -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install minihellboy/factorminer factor-benchmark --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/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-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 "factor-benchmark" agent skill from https://github.com/minihellboy/factorminer/tree/main/integrations/factor-researcher/plugin/skills/factor-benchmark into .claude/skills/factor-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "factor-benchmark", 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/minihellboy/factorminer/tree/main/integrations/factor-researcher/plugin/skills/factor-benchmarkType 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 minihellboy/factorminer --skill factor-benchmark -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install minihellboy/factorminer factor-benchmark --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minihellboy/factorminer.git skills-src && mkdir -p .agents/skills && cp -r skills-src/integrations/factor-researcher/plugin/skills/factor-benchmark .agents/skills/factor-benchmark && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "factor-benchmark" agent skill from https://github.com/minihellboy/factorminer/tree/main/integrations/factor-researcher/plugin/skills/factor-benchmark into .agents/skills/factor-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "factor-benchmark", 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 minihellboy/factorminer --skill factor-benchmark -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install minihellboy/factorminer factor-benchmark --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minihellboy/factorminer.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/integrations/factor-researcher/plugin/skills/factor-benchmark .cursor/skills/factor-benchmark && 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 "factor-benchmark" agent skill from https://github.com/minihellboy/factorminer/tree/main/integrations/factor-researcher/plugin/skills/factor-benchmark into .cursor/skills/factor-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "factor-benchmark", 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/minihellboy/factorminer.git --path integrations/factor-researcher/plugin/skills/factor-benchmark--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 minihellboy/factorminer --skill factor-benchmark -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install minihellboy/factorminer factor-benchmark --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minihellboy/factorminer.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/integrations/factor-researcher/plugin/skills/factor-benchmark .gemini/skills/factor-benchmark && 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 "factor-benchmark" agent skill from https://github.com/minihellboy/factorminer/tree/main/integrations/factor-researcher/plugin/skills/factor-benchmark into .gemini/skills/factor-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "factor-benchmark", 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 minihellboy/factorminer factor-benchmarkInstalls 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 minihellboy/factorminer --skill factor-benchmark -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/minihellboy/factorminer.git skills-src && mkdir -p .github/skills && cp -r skills-src/integrations/factor-researcher/plugin/skills/factor-benchmark .github/skills/factor-benchmark && 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 "factor-benchmark" agent skill from https://github.com/minihellboy/factorminer/tree/main/integrations/factor-researcher/plugin/skills/factor-benchmark into .github/skills/factor-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "factor-benchmark", 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 minihellboy/factorminer --skill factor-benchmark -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install minihellboy/factorminer factor-benchmark --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minihellboy/factorminer.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/integrations/factor-researcher/plugin/skills/factor-benchmark .opencode/skills/factor-benchmark && 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 "factor-benchmark" agent skill from https://github.com/minihellboy/factorminer/tree/main/integrations/factor-researcher/plugin/skills/factor-benchmark into .opencode/skills/factor-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "factor-benchmark", 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.
factor-benchmarkRun 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. 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.
Read from SKILL.md and the folder at commit 75e0560. 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.
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.
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.
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.
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.
The full file from minihellboy/factorminer at commit 75e0560, republished under its MIT licence (© minihellboy). 215 words, ~576 tokens.
.claude/skills/factor-benchmark/SKILL.md (or your agent's skills folder).This skill runs FactorMiner's canonical benchmark surface — the rigorous comparison layer that turns a single run into evidence.
| Mode | What it answers |
|---|---|
table1 | Top-K freeze benchmark across configured universes vs. baselines — the headline reproduction. |
ablation-memory | How much does experience memory contribute? |
ablation-strategy | Effect of memory policy × dependence metric × backend. |
cost-pressure | How does the library hold up under rising transaction costs? |
efficiency | Operator- and factor-level runtime/compute cost. |
suite | The full benchmark suite in one run. |
factorminer -o output/bench benchmark table1 --data path/to/market_data.csvfactorminer -o output/bench benchmark suite --data path/to/market_data.csvPass a pre-mined library to benchmark a specific run rather than mining fresh:
factorminer -o output/bench benchmark table1 \
--data market_data.csv \
--factor-miner-library output/run1/factor_library.jsonefficiency takes no data — it profiles the engine itself.
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.
cost-pressure is the honesty check: a library that only wins at zero cost is not a result.© minihellboy, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in integrations/factor-researcher/plugin/skills/factor-benchmark of minihellboy/factorminer.
Open the folder on GitHubat commit 75e0560
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Factor Benchmark this skillminihellboy/factorminer | 123 | — | ~576 | Automated safety check: Pass | MIT | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 6 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| Peft Fine TuningOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.8k | 15 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
pytorch/pytorch
Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.
Orchestra-Research/AI-Research-SKILLs
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods.
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
trpc-group/trpc-agent-go
Set up and use 1Password CLI (op). An agent skill from trpc-group/trpc-agent-go.
Orchestra-Research/AI-Research-SKILLs
Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.
minihellboy/factorminer
Evaluate a factor library — recompute Information Coefficient (IC), ICIR, win rate, and turnover on held-out data, and surface train→test decay.
minihellboy/factorminer
Discover alpha factors by running the FactorMiner research engine — the paper-faithful Ralph loop or the enhanced Helix loop (causal validation, regime conditioning, multi-specialist debate…
minihellboy/factorminer
Combine a factor library into a composite signal and quintile-backtest it under transaction costs — long-short return, monotonicity, turnover, and tearsheets.
minihellboy/factorminer
Validate, resample, and ingest market data for factor mining.
minihellboy/factorminer
Generate static reports, tearsheets, and exports from FactorMiner artifacts — markdown/HTML research notes, plots, and library exports (JSON/CSV/formulas).
minihellboy/factorminer
Absorb external research reports/papers into structured, retrievable hypothesis cues via FactorMiner's Report-to-Memory Absorption (RMA) service — an OHLCV-eligibility gate, a mechanism-family…
Categories
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.
Factor Benchmark fits situations like: compare FactorMiner against baselines; reproduce paper results; compare to baseline; reproduce table 1.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Factor Benchmark is instructions for the agent only.
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. Review the folder before installing.
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.
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.
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.
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.