Arize Evaluator
github/awesome-copilot
Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and…
A skill your agent uses when evaluating stocks through Dan Bin's long-term compounder lens: buy great companies, hold through volatility, and let time do the work.
MITAuto-check passed
Install Danbin Longterm Compounder
$ npx skills add questflowai/investorskills --skill danbin-longterm-compounder -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install questflowai/investorskills danbin-longterm-compounder --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/questflowai/investorskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/danbin-longterm-compounder .claude/skills/danbin-longterm-compounder && 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 "danbin-longterm-compounder" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/danbin-longterm-compounder into .claude/skills/danbin-longterm-compounder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "danbin-longterm-compounder", 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/questflowai/investorskills/tree/main/skills/danbin-longterm-compounderType 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 questflowai/investorskills --skill danbin-longterm-compounder -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install questflowai/investorskills danbin-longterm-compounder --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/danbin-longterm-compounder .agents/skills/danbin-longterm-compounder && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "danbin-longterm-compounder" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/danbin-longterm-compounder into .agents/skills/danbin-longterm-compounder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "danbin-longterm-compounder", 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 questflowai/investorskills --skill danbin-longterm-compounder -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install questflowai/investorskills danbin-longterm-compounder --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/danbin-longterm-compounder .cursor/skills/danbin-longterm-compounder && 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 "danbin-longterm-compounder" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/danbin-longterm-compounder into .cursor/skills/danbin-longterm-compounder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "danbin-longterm-compounder", 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/questflowai/investorskills.git --path skills/danbin-longterm-compounder--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 questflowai/investorskills --skill danbin-longterm-compounder -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install questflowai/investorskills danbin-longterm-compounder --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/danbin-longterm-compounder .gemini/skills/danbin-longterm-compounder && 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 "danbin-longterm-compounder" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/danbin-longterm-compounder into .gemini/skills/danbin-longterm-compounder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "danbin-longterm-compounder", 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 questflowai/investorskills danbin-longterm-compounderInstalls 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 questflowai/investorskills --skill danbin-longterm-compounder -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/danbin-longterm-compounder .github/skills/danbin-longterm-compounder && 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 "danbin-longterm-compounder" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/danbin-longterm-compounder into .github/skills/danbin-longterm-compounder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "danbin-longterm-compounder", 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 questflowai/investorskills --skill danbin-longterm-compounder -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install questflowai/investorskills danbin-longterm-compounder --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/danbin-longterm-compounder .opencode/skills/danbin-longterm-compounder && 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 "danbin-longterm-compounder" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/danbin-longterm-compounder into .opencode/skills/danbin-longterm-compounder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "danbin-longterm-compounder", 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
danbin-longterm-compounder- GitHub stars
- 1.9k
- Token cost
- ~471 tokens
- SKILL.md length
- 194 words
- Files
- 2
- Skills in repo
- 63
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when evaluating stocks through Dan Bin's long-term compounder lens: buy great companies, hold through volatility, and let time do the work.
- Works in 4 steps: Identify whether this is a truly great… → Assess moat durability and pricing power. → Check if valuation is acceptable (not… → …
- Evaluating stocks through Dan Bins long-term compounder lens: buy great companies
- SKILL.md covers When To Use, Do Not Use When, Inputs Needed and Process, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Danbin Longterm Compounder is an agent skill from questflowai/investorskills. Use when evaluating stocks through Dan Bin's long-term compounder lens: buy great companies, hold through volatility, and let time do the work. Focus on consumer, pharma, and tech compounders.
Its SKILL.md is about 470 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `invest.md`).
The repository describes itself as: Investor Skills is an open-source library that turns durable investing judgment into portable, structured formats. It collects how great investors think, filter opportunities… The licence is MIT.
When your agent uses it
- Evaluating stocks through Dan Bins long-term compounder lens: buy great companies
- Hold through volatility
- Let time do the work
Example prompts
- “/danbin-longterm-compounder”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Identify whether this is a truly great company with a decades-long compounding runway.
- Assess moat durability and pricing power.
- Check if valuation is acceptable (not necessarily cheap).
- Decide to own and hold through volatility, or pass.
What it can do on your machine
Read from SKILL.md and the folder at commit 2844d78. 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 markdown).
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
Danbin Longterm Compounder loads about 471 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 194 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
The full file from questflowai/investorskills at commit 2844d78, republished under its MIT licence (© questflowai). 194 words, ~471 tokens.
Download SKILL.mdSave it as
.claude/skills/danbin-longterm-compounder/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- danbin-longterm-compounder
- description
- Use when evaluating stocks through Dan Bin's long-term compounder lens: buy great companies, hold through volatility, and let time do the work. Focus on consumer, pharma, and tech compounders.
- invest
- ./invest.md
Dan Bin Long-Term Compounder
Use this skill to apply Dan Bin / 但斌-style judgment.
When To Use
Use this skill when the user asks for:
- Dan Bin-style long-term analysis
- whether a company is a great compounder worth holding for years
- time-as-edge investing
- consumer/pharma/tech quality assessment
Trigger phrases include 但斌, Dan Bin, 时间的玫瑰, long term compounder A股, 东方港湾, 时间的力量.
Do Not Use When
- Another skill fits better.
- Critical data for this model is missing.
- The user wants guaranteed returns or unbounded leverage.
- The request is generic chatter with no decision.
Inputs Needed
- Asset, sector, market, or macro context
- Relevant financial, technical, policy, or sentiment data
- Time horizon and risk constraints
- Portfolio context if sizing is requested
Process
- Identify whether this is a truly great company with a decades-long compounding runway.
- Assess moat durability and pricing power.
- Check if valuation is acceptable (not necessarily cheap).
- Decide to own and hold through volatility, or pass.
Output Format
# Dan Bin Long-Term Compounder View: [Subject]
## Verdict
Own Long-Term / Watch / Not Great / Too Expensive / Pass
## Thesis
## Evidence
## Risks
## Action Plan
## Invalidation
## Missing DataGuardrails
- Follow the skill process; do not free-style.
- Separate facts, assumptions, and judgment.
- Define invalidation before sizing.
- Not financial advice.
Questflow Use
Use as a judgment module inside Questflow-style agent workflows. Reference readings/podcasts/videos after loading the skill.
© questflowai, 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 in skills/danbin-longterm-compounder of questflowai/investorskills.
- SKILL.md
- invest.md
Open the folder on GitHubat commit 2844d78
Compare with similar skills
Danbin Longterm Compounder 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 |
|---|---|---|---|---|---|---|
| Danbin Longterm Compounder this skillquestflowai/investorskills | 1.9k | — | ~471 | Automated safety check: Pass | MIT | |
| Arize Evaluatorgithub/awesome-copilot | 40k | 1 repos | ~8.1k | Automated safety check: Notes | MIT | |
| LLM Evaluationdavila7/claude-code-templates | 32k | 12 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Agent Evaluationsickn33/agentic-awesome-skills | 47k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| EvaluatorsArize-ai/phoenix | 12k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| Agent Evaluation Reportingsickn33/agentic-awesome-skills | 47k | 1 repos | ~2.1k | Automated safety check: Pass | MIT |
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Author or refine a Phoenix evaluator — code or LLM-as-a-judge — that scores a run's output.
Agent Evaluation Reporting
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Questions about Danbin Longterm Compounder
What does Danbin Longterm Compounder do?
A skill your agent uses when evaluating stocks through Dan Bin's long-term compounder lens: buy great companies, hold through volatility, and let time do the work. Danbin Longterm Compounder is an agent skill from questflowai/investorskills. Use when evaluating stocks through Dan Bin's long-term compounder lens: buy great companies, hold through volatility, and let time do the work.
When should I use Danbin Longterm Compounder?
Danbin Longterm Compounder fits situations like: evaluating stocks through Dan Bins long-term compounder lens: buy great companies; hold through volatility; let time do the work.
How do I install Danbin Longterm Compounder in Claude Code?
Run `npx skills add questflowai/investorskills --skill danbin-longterm-compounder -a claude-code`. Or copy the skill folder (skills/danbin-longterm-compounder in questflowai/investorskills) into .claude/skills/danbin-longterm-compounder in your project. Claude Code loads it when a task matches its description.
How do I install Danbin Longterm Compounder in Codex?
Run `npx skills add questflowai/investorskills --skill danbin-longterm-compounder -a codex`. Or copy the skill folder (skills/danbin-longterm-compounder in questflowai/investorskills) into .agents/skills/danbin-longterm-compounder in your project. Codex loads it when a task matches its description.
Can I use Danbin Longterm Compounder 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 questflowai/investorskills --skill danbin-longterm-compounder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/danbin-longterm-compounder, .gemini/skills/danbin-longterm-compounder, .github/skills/danbin-longterm-compounder and .opencode/skills/danbin-longterm-compounder in your project.
What does Danbin Longterm Compounder need to run?
SKILL.md names no scripts, command-line tools or credentials: Danbin Longterm Compounder is instructions for the agent only.
Does Danbin Longterm Compounder 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 Danbin Longterm Compounder 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 Danbin Longterm Compounder use?
Danbin Longterm Compounder 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 Danbin Longterm Compounder use?
About 471 tokens (SKILL.md is roughly 1.9k 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 Danbin Longterm Compounder?
Skills that share tags, products or a category with Danbin Longterm Compounder: Arize Evaluator (github/awesome-copilot, 40k stars), LLM Evaluation (davila7/claude-code-templates, 32k stars), Agent Evaluation (sickn33/agentic-awesome-skills, 47k stars) and Evaluators (Arize-ai/phoenix, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Danbin Longterm Compounder?
questflowai (a GitHub organization) maintains it in questflowai/investorskills, which has 1,896 GitHub stars. The repository holds 63 skills in this directory. The repository was last updated on August 23, 2026.
Source: questflowai/investorskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.