Financial Analyzing
huangjia2019/claude-code-engineering
Analyze financial data, calculate financial ratios, and generate analysis reports.
Explains a completed lo2cin4bt backtest run's metrics, equity curve, drawdowns, and costs from canonical artifacts only, without giving trading advice.
Install Backtest Performance Analysis
$ npx skills add lo2cin4/lo2cin4bt --skill lo2cin4bt-performance-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lo2cin4/lo2cin4bt lo2cin4bt-performance-analysis --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/lo2cin4/lo2cin4bt.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/lo2cin4bt-performance-analysis .claude/skills/lo2cin4bt-performance-analysis && 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 "lo2cin4bt-performance-analysis" agent skill from https://github.com/lo2cin4/lo2cin4bt/tree/main/skills/lo2cin4bt-performance-analysis into .claude/skills/lo2cin4bt-performance-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lo2cin4bt-performance-analysis", 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/lo2cin4/lo2cin4bt/tree/main/skills/lo2cin4bt-performance-analysisType 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 lo2cin4/lo2cin4bt --skill lo2cin4bt-performance-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lo2cin4/lo2cin4bt lo2cin4bt-performance-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lo2cin4/lo2cin4bt.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/lo2cin4bt-performance-analysis .agents/skills/lo2cin4bt-performance-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lo2cin4bt-performance-analysis" agent skill from https://github.com/lo2cin4/lo2cin4bt/tree/main/skills/lo2cin4bt-performance-analysis into .agents/skills/lo2cin4bt-performance-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lo2cin4bt-performance-analysis", 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 lo2cin4/lo2cin4bt --skill lo2cin4bt-performance-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lo2cin4/lo2cin4bt lo2cin4bt-performance-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lo2cin4/lo2cin4bt.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/lo2cin4bt-performance-analysis .cursor/skills/lo2cin4bt-performance-analysis && 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 "lo2cin4bt-performance-analysis" agent skill from https://github.com/lo2cin4/lo2cin4bt/tree/main/skills/lo2cin4bt-performance-analysis into .cursor/skills/lo2cin4bt-performance-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lo2cin4bt-performance-analysis", 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/lo2cin4/lo2cin4bt.git --path skills/lo2cin4bt-performance-analysis--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 lo2cin4/lo2cin4bt --skill lo2cin4bt-performance-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lo2cin4/lo2cin4bt lo2cin4bt-performance-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lo2cin4/lo2cin4bt.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/lo2cin4bt-performance-analysis .gemini/skills/lo2cin4bt-performance-analysis && 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 "lo2cin4bt-performance-analysis" agent skill from https://github.com/lo2cin4/lo2cin4bt/tree/main/skills/lo2cin4bt-performance-analysis into .gemini/skills/lo2cin4bt-performance-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lo2cin4bt-performance-analysis", 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 lo2cin4/lo2cin4bt lo2cin4bt-performance-analysisInstalls 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 lo2cin4/lo2cin4bt --skill lo2cin4bt-performance-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lo2cin4/lo2cin4bt.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/lo2cin4bt-performance-analysis .github/skills/lo2cin4bt-performance-analysis && 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 "lo2cin4bt-performance-analysis" agent skill from https://github.com/lo2cin4/lo2cin4bt/tree/main/skills/lo2cin4bt-performance-analysis into .github/skills/lo2cin4bt-performance-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lo2cin4bt-performance-analysis", 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 lo2cin4/lo2cin4bt --skill lo2cin4bt-performance-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lo2cin4/lo2cin4bt lo2cin4bt-performance-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lo2cin4/lo2cin4bt.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/lo2cin4bt-performance-analysis .opencode/skills/lo2cin4bt-performance-analysis && 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 "lo2cin4bt-performance-analysis" agent skill from https://github.com/lo2cin4/lo2cin4bt/tree/main/skills/lo2cin4bt-performance-analysis into .opencode/skills/lo2cin4bt-performance-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lo2cin4bt-performance-analysis", 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
lo2cin4bt-performance-analysis- GitHub stars
- 288
- Token cost
- ~3k tokens
- SKILL.md length
- 1,327 words
- Files
- 1
- Skills in repo
- 7
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Explains a completed lo2cin4bt backtest run's metrics, equity curve, drawdowns, and costs from canonical artifacts only, without giving trading advice.
- Works in 4 steps: Use response_language from the PM packet… → If the user writes in Chinese or asks… → Keep code identifiers, file paths,… → …
- Explaining what a completed lo2cin4bt backtest run actually produced
- SKILL.md covers Purpose, Use When, Inputs and Workflow, plus 18 more sections
- Calls uv
What it does
This skill explains the results of one already-completed backtest run, tracing every number back to canonical result files such as the run's registry entry, artifact manifest, chart data, and config, rather than letting an empty summary overwrite a valid metric. It separates what is simply absent from what doesn't apply, and covers parameter sweeps, walk-forward analysis, benchmark comparisons, and any missing fields in the generated output.
It defaults to a beginner-readable report that leads with a one-sentence summary, what the strategy did, and any data or benchmark caveats, before moving into risk, drawdown, trade, and cost evidence, keeping raw technical detail in an appendix unless specifically asked for. It states plainly that this kind of analysis only explains generated artifacts and is not investment, trading, or financial advice.
When your agent uses it
- Explaining what a completed lo2cin4bt backtest run actually produced
- Reviewing a strategy's drawdown, trade, and cost evidence from a run
- Checking whether a backtest's output data is complete before reporting on it
Example prompts
- “Explain the results of this backtest run for a beginner.”
- “What does this run's drawdown and cost evidence actually show?”
- “Check this run's parameter sweep output for missing fields.”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Use response_language from the PM packet when present; otherwise infer it from the latest user message.
- If the user writes in Chinese or asks for Chinese, write Traditional Chinese for all non-specialist wording.
- Keep code identifiers, file paths, commands, schema keys, agent/skill names, ticker symbols, provider names, and standard finance/quant…
- Return response_language in the output packet. When writing repo-local reports, apply the same language policy to the report body.
What it can do on your machine
Read from SKILL.md and the folder at commit d2e0863. 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
Shell commands in SKILL.md call:
uv
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv, 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
Backtest Performance Analysis loads about 3k tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 1,327 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); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,327 words (~3,040 tokens).
“Explain only generated, canonical result evidence and distinguish absent, not-applicable, matrix, WFA, benchmark, cost, and risk claims.”
- name
- lo2cin4bt-performance-analysis
- version
- 2.2.1
- status
- active
- category
- reference-backed
- use_when
- Explaining completed lo2cin4bt metrics, plots, trades, portfolio evidence, or WFA results., Auditing missing frontend fields or claims against generated…
Files
Just SKILL.md in skills/lo2cin4bt-performance-analysis of lo2cin4/lo2cin4bt.
Open the folder on GitHubat commit d2e0863
Compare with similar skills
Backtest Performance Analysis 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 |
|---|---|---|---|---|---|---|
| Backtest Performance Analysis this skilllo2cin4/lo2cin4bt | 288 | — | ~3k | Automated safety check: Pass | Custom licence | |
| Financial Analyzinghuangjia2019/claude-code-engineering | 1.1k | 1 repos | ~474 | Automated safety check: Pass | None | |
| China Market Open Data SearchOpenSenseNova/SenseNova-Skills | 5.7k | 1 repos | ~954 | Automated safety check: Notes | MIT | |
| Longbridge Earningshelsome/folio | 269 | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| Fundamentalsstaskh/trading_skills | 374 | 1 repos | ~836 | Automated safety check: Pass | MIT | |
| Earnings AnalysisWind-Alice/AliceMarket | 130 | 3 repos | ~2.2k | Automated safety check: Pass | None |
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Related
Categories
Questions about Backtest Performance Analysis
What does Backtest Performance Analysis do?
Explains a completed lo2cin4bt backtest run's metrics, equity curve, drawdowns, and costs from canonical artifacts only, without giving trading advice. This skill explains the results of one already-completed backtest run, tracing every number back to canonical result files such as the run's registry entry, artifact manifest, chart data, and config, rather than letting an empty summary overwrite a valid metric. It separates what is simply absent from what doesn't apply, and covers parameter sweeps, walk-forward analysis, benchmark comparisons, and any missing fields in the generated output.
When should I use Backtest Performance Analysis?
Backtest Performance Analysis fits situations like: explaining what a completed lo2cin4bt backtest run actually produced; reviewing a strategy's drawdown, trade, and cost evidence from a run; checking whether a backtest's output data is complete before reporting on it.
How do I install Backtest Performance Analysis in Claude Code?
Run `npx skills add lo2cin4/lo2cin4bt --skill lo2cin4bt-performance-analysis -a claude-code`. Or copy the skill folder (skills/lo2cin4bt-performance-analysis in lo2cin4/lo2cin4bt) into .claude/skills/lo2cin4bt-performance-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Backtest Performance Analysis in Codex?
Run `npx skills add lo2cin4/lo2cin4bt --skill lo2cin4bt-performance-analysis -a codex`. Or copy the skill folder (skills/lo2cin4bt-performance-analysis in lo2cin4/lo2cin4bt) into .agents/skills/lo2cin4bt-performance-analysis in your project. Codex loads it when a task matches its description.
Can I use Backtest Performance Analysis 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 lo2cin4/lo2cin4bt --skill lo2cin4bt-performance-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lo2cin4bt-performance-analysis, .gemini/skills/lo2cin4bt-performance-analysis, .github/skills/lo2cin4bt-performance-analysis and .opencode/skills/lo2cin4bt-performance-analysis in your project.
What does Backtest Performance Analysis need to run?
Going by SKILL.md and its folder, Backtest Performance Analysis needs the command-line tools its instructions call (uv).
Does Backtest Performance Analysis access the network?
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Backtest Performance Analysis 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 Backtest Performance Analysis use?
Backtest Performance Analysis has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Backtest Performance Analysis use?
About 3k tokens (SKILL.md is roughly 12k 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 Backtest Performance Analysis?
Skills that share tags, products or a category with Backtest Performance Analysis: Financial Analyzing (huangjia2019/claude-code-engineering, 1.1k stars), China Market Open Data Search (OpenSenseNova/SenseNova-Skills, 5.7k stars), Longbridge Earnings (helsome/folio, 269 stars) and Fundamentals (staskh/trading_skills, 374 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Backtest Performance Analysis?
lo2cin4 (a GitHub user) maintains it in lo2cin4/lo2cin4bt, which has 288 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on August 1, 2026.
Source: lo2cin4/lo2cin4bt on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.