Benchmark indicators with BenchmarkDotNet in tools/performance — add Series, Buffer, Stream, and style-comparison benchmarks, spot-check one indicator against committed baselines, evaluate the full…
$ npx skills add facioquo/stock-indicators-dotnet --skill performance-testing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install facioquo/stock-indicators-dotnet performance-testing --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/facioquo/stock-indicators-dotnet.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/performance-testing .claude/skills/performance-testing && 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 "performance-testing" agent skill from https://github.com/facioquo/stock-indicators-dotnet/tree/main/.agents/skills/performance-testing into .claude/skills/performance-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-testing", 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/facioquo/stock-indicators-dotnet/tree/main/.agents/skills/performance-testingType 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 facioquo/stock-indicators-dotnet --skill performance-testing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install facioquo/stock-indicators-dotnet performance-testing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/facioquo/stock-indicators-dotnet.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/performance-testing .agents/skills/performance-testing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "performance-testing" agent skill from https://github.com/facioquo/stock-indicators-dotnet/tree/main/.agents/skills/performance-testing into .agents/skills/performance-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-testing", 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 facioquo/stock-indicators-dotnet --skill performance-testing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install facioquo/stock-indicators-dotnet performance-testing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/facioquo/stock-indicators-dotnet.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/performance-testing .cursor/skills/performance-testing && 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 "performance-testing" agent skill from https://github.com/facioquo/stock-indicators-dotnet/tree/main/.agents/skills/performance-testing into .cursor/skills/performance-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-testing", 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/facioquo/stock-indicators-dotnet.git --path .agents/skills/performance-testing--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 facioquo/stock-indicators-dotnet --skill performance-testing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install facioquo/stock-indicators-dotnet performance-testing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/facioquo/stock-indicators-dotnet.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/performance-testing .gemini/skills/performance-testing && 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 "performance-testing" agent skill from https://github.com/facioquo/stock-indicators-dotnet/tree/main/.agents/skills/performance-testing into .gemini/skills/performance-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-testing", 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 facioquo/stock-indicators-dotnet performance-testingInstalls 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 facioquo/stock-indicators-dotnet --skill performance-testing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/facioquo/stock-indicators-dotnet.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/performance-testing .github/skills/performance-testing && 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 "performance-testing" agent skill from https://github.com/facioquo/stock-indicators-dotnet/tree/main/.agents/skills/performance-testing into .github/skills/performance-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-testing", 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 facioquo/stock-indicators-dotnet --skill performance-testing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install facioquo/stock-indicators-dotnet performance-testing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/facioquo/stock-indicators-dotnet.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/performance-testing .opencode/skills/performance-testing && 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 "performance-testing" agent skill from https://github.com/facioquo/stock-indicators-dotnet/tree/main/.agents/skills/performance-testing into .opencode/skills/performance-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-testing", 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.
performance-testingBenchmark indicators with BenchmarkDotNet in tools/performance — add Series, Buffer, Stream, and style-comparison benchmarks, spot-check one indicator against committed baselines, evaluate the full…
Performance Testing is an agent skill from facioquo/stock-indicators-dotnet. Benchmark indicators with BenchmarkDotNet in tools/performance — add Series, Buffer, Stream, and style-comparison benchmarks, spot-check one indicator against committed baselines, evaluate the full suite for regressions, reset baselines, and run the large-N harness. Targets are BufferList ≤ 1.2x and StreamHub ≤ 1.5x the Series time. Use when adding a new indicator, editing a tools/performance/Perf..cs file, after changing an indicator's hot path, when perf.sh or detect-regressions.sh reports a regression, or…
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/benchmark-patterns.md`).
It sits in Business, Finance & HR, covering Load testing and Trading and backtesting. The repository describes itself as: Stock Indicators for .NET is a C NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading… The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 136113b. 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.
Shell commands in SKILL.md call:
bashdotnetFrom 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.
Performance Testing loads about 1.1k tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 150 tokens; SKILL.md has 348 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 facioquo/stock-indicators-dotnet at commit 136113b, republished under its Apache-2.0 licence (© facioquo). 348 words, ~1,118 tokens.
.claude/skills/performance-testing/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Run every benchmark workflow through tools/performance/perf.sh from the repository root. tools/performance/benchmarking.md is the human-facing guide to the same tooling.
Load benchmark patterns before adding or editing a [Benchmark] method or benchmark class.
evaluate and spot require jq.
# Spot check: one indicator against its baselines (fast; the dev-loop check)
bash tools/performance/perf.sh spot Ema
bash tools/performance/perf.sh spot Adx Stream # Series | Buffer | Stream | All (default)
# Evaluate: full baseline suite, report regressions and improvements (~1 hour)
bash tools/performance/perf.sh evaluate
# Reset: full baseline suite, overwrite tools/performance/baselines/ (~1 hour)
bash tools/performance/perf.sh resetspot matches the indicator name as a substring, so spot Ema also runs Dema and Tema.reset --prune also deletes committed baseline files for suites no longer in the set.The baseline set is the no-argument dotnet run -c Release list in tools/performance/Program.cs: SeriesIndicators, BufferIndicators, StreamIndicators, StreamObserver, Utility, UtilityNullMath, UtilityStdDev. BASELINE_CLASSES in perf.sh must list the same suites; change both together.
StyleComparison, StyleWallTime, StreamCrossover, StreamExternal, and ManualTestDirect are diagnostics with no baseline. Run them with a raw filter.
For exploration only, never for baseline comparison. Run from tools/performance:
dotnet run -c Release -- --filter "*StyleComparison*" # one suite
dotnet run -c Release -- --filter "*.ToEmaBatch" # one method
# Large-N harness: PERF_TEST_PERIODS bars (default 500000); PERF_TEST_CAP below it exercises pruning
PERF_TEST_KEYWORD=ema PERF_TEST_PERIODS=500000 dotnet run -c Release -- --filter "Performance.ManualTestDirect*"
PERF_TEST_KEYWORD=adl PERF_TEST_PERIODS=500000 PERF_TEST_CAP=100000 dotnet run -c Release -- --filter "Performance.ManualTestDirect*"Results land in tools/performance/BenchmarkDotNet.Artifacts/results/ as Performance.{Suite}-report-full.json and -report-github.md.
detect-regressions.sh pairs each *-report-full.json result with the same-named baseline and compares per method, so a spot run compares only what it ran. The default threshold is 10%. Run it alone on existing results with bash tools/performance/detect-regressions.sh [--threshold 15]. Exit codes: 0 no regression, 1 regression found, 2 usage or I/O error.
| Style | Target time vs Series |
|---|---|
| BufferList | ≤ 1.2x |
| StreamHub | ≤ 1.5x |
These are optimization targets, not merge gates; current implementations vary by indicator. Measure the ratio with the StyleComparison suite. Read current per-indicator timings from tools/performance/baselines/Performance.SeriesIndicators-report-github.md and its Buffer and Stream siblings.
--job, --warmupCount, thresholds) to perf.sh runs; each suite pins its job in code, and plain runs stay comparable to the committed baselines.perf.sh reset except to record an intended, verified performance change, and commit the refreshed baselines with that change.test-performance*.yml workflows are manual and informational.© facioquo, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in .agents/skills/performance-testing of facioquo/stock-indicators-dotnet.
Open the folder on GitHubat commit 136113b
Performance Testing 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 |
|---|---|---|---|---|---|---|
| Performance Testing this skillfacioquo/stock-indicators-dotnet | 1.2k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Residual Edge Analyzertradermonty/claude-trading-skills | 3k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Tushare Datazillionare/zillionare | 318 | 2 repos | ~2.3k | Automated safety check: Pass | None | |
| Tradingview MCPatilaahmettaner/tradingview-mcp | 4.9k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Digital Oraclekomako-workshop/digital-oracle | 867 | — | ~5.9k | Automated safety check: Pass | MIT | |
| Polyclawchainstacklabs/polyclaw | 360 | 1 repos | ~2k | Automated safety check: Pass | Apache-2.0 |
tradermonty/claude-trading-skills
Separate a strategy return series into declared baseline exposure and residual edge with returns-based OLS attribution, HAC inference, rolling stability, alternate-baseline sensitivity, and regime…
zillionare/zillionare
面向中文自然语言的 Tushare 数据研究技能。用于把“看看这只股票最近怎么样”“帮我查财报趋势”“最近哪个板块最强”“北向资金在买什么”“给我导出一份行情数据”这类请求，转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。
atilaahmettaner/tradingview-mcp
AI Trading Intelligence — live prices, 30+ technical indicators, backtesting (6 strategies), walk-forward overfitting detection, trade logs, equity curves, licensed news sentiment (Marketaux), and…
komako-workshop/digital-oracle
Answer prediction questions using market trading data, not opinions.
chainstacklabs/polyclaw
Trade on Polymarket via split + CLOB execution. An agent skill from chainstacklabs/polyclaw.
MobiusQuant/OpenMobius-skill
Provides multi-school trading Q&A, chart/OHLCV analysis, annotation, and fresh-market workflows covering ICT/SMC, ChanLun, Wyckoff, Price Action, Order Flow, VSA, and Elliott Wave.
facioquo/stock-indicators-dotnet
Format and lint Markdown in this repository against GitHub Flavored Markdown and its markdownlint-cli2 configuration — headers, lists, code fences, callouts (VitePress containers on docs-site pages…
facioquo/stock-indicators-dotnet
Implement Series-style batch indicators (To{Name}() in {Name}.Series.cs), the canonical numerical reference every BufferList and StreamHub must match exactly.
facioquo/stock-indicators-dotnet
Implement StreamHub real-time indicators — base-class choice (ChainHub, BarProvider, StreamHub), constructor and ToIndicator conventions, RollbackState overrides, per-tick performance rules…
facioquo/stock-indicators-dotnet
Author indicator reference pages on the VitePress documentation site — page section order, parameter and result tables, warmup and convergence wording, chaining and streaming examples, the…
facioquo/stock-indicators-dotnet
Implement BufferList incremental indicators ({Name}List, a BufferList<TResult subclass) — increment interface choice, constructor and To{Name}List() conventions, rolling-buffer helpers, pruning and…
facioquo/stock-indicators-dotnet
Write {Name}.Catalog.cs listings with CatalogListingBuilder — parameters, results, chart panes, isRequired and isReusable rules — register them in Catalog.Listings.cs, refresh the catalog shape…
Categories
Benchmark indicators with BenchmarkDotNet in tools/performance — add Series, Buffer, Stream, and style-comparison benchmarks, spot-check one indicator against committed baselines, evaluate the full…. Performance Testing is an agent skill from facioquo/stock-indicators-dotnet. Benchmark indicators with BenchmarkDotNet in tools/performance — add Series, Buffer, Stream, and style-comparison benchmarks, spot-check one indicator against committed baselines, evaluate the full suite for regressions, reset baselines, and run the large-N harness.
Performance Testing fits situations like: adding a new indicator; editing a tools/performance/Perf..cs file; after changing an indicators hot path; detect-regressions.sh reports a regression.
Run `npx skills add facioquo/stock-indicators-dotnet --skill performance-testing -a claude-code`. Or copy the skill folder (.agents/skills/performance-testing in facioquo/stock-indicators-dotnet) into .claude/skills/performance-testing in your project. Claude Code loads it when a task matches its description.
Run `npx skills add facioquo/stock-indicators-dotnet --skill performance-testing -a codex`. Or copy the skill folder (.agents/skills/performance-testing in facioquo/stock-indicators-dotnet) into .agents/skills/performance-testing 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 facioquo/stock-indicators-dotnet --skill performance-testing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/performance-testing, .gemini/skills/performance-testing, .github/skills/performance-testing and .opencode/skills/performance-testing in your project.
Going by SKILL.md and its folder, Performance Testing needs the command-line tools its instructions call (bash and dotnet).
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.
Performance Testing is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 772 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Performance Testing: Residual Edge Analyzer (tradermonty/claude-trading-skills, 3k stars), Tushare Data (zillionare/zillionare, 318 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 4.9k stars) and Digital Oracle (komako-workshop/digital-oracle, 867 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
facioquo (a GitHub organization) maintains it in facioquo/stock-indicators-dotnet, which has 1,247 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 6, 2026.
Source: facioquo/stock-indicators-dotnet on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
