Agent skill

Cobie Cycle Filter

by questflowai in questflowai/investorskills

A skill your agent uses when evaluating crypto decisions through a Cobie-style cycle filter: common-sense risk, narrative traps, leverage humility, and avoiding obvious stupid trades.

MITAuto-check passed

Install Cobie Cycle Filter

skills CLI
$ npx skills add questflowai/investorskills --skill cobie-cycle-filter -a claude-code

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

GitHub CLI
$ gh skill install questflowai/investorskills cobie-cycle-filter --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/questflowai/investorskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cobie-cycle-filter .claude/skills/cobie-cycle-filter && 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
cobie-cycle-filter
GitHub stars
1.9k
Token cost
~420 tokens
SKILL.md length
170 words
Files
2
Skills in repo
63
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when evaluating crypto decisions through a Cobie-style cycle filter: common-sense risk, narrative traps, leverage humility, and avoiding obvious stupid trades.

  • Works in 4 steps: Judge cycle temperature. → Stress-test the narrative. → Check size, leverage, and ego. → …
  • Evaluating crypto decisions through a Cobie-style cycle filter: common-sense risk
  • 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

Cobie Cycle Filter is an agent skill from questflowai/investorskills. Use when evaluating crypto decisions through a Cobie-style cycle filter: common-sense risk, narrative traps, leverage humility, and avoiding obvious stupid trades.

Its SKILL.md is about 420 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 crypto decisions through a Cobie-style cycle filter: common-sense risk
  • Narrative traps
  • Leverage humility
  • Avoiding obvious stupid trades

Example prompts

  • “/cobie-cycle-filter”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Judge cycle temperature.
  2. Stress-test the narrative.
  3. Check size, leverage, and ego.
  4. Stand down if the trade depends on not being wrong.

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

Cobie Cycle Filter loads about 420 tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 170 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~420

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). 170 words, ~420 tokens.

Download SKILL.mdSave it as .claude/skills/cobie-cycle-filter/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
cobie-cycle-filter
description
Use when evaluating crypto decisions through a Cobie-style cycle filter: common-sense risk, narrative traps, leverage humility, and avoiding obvious stupid trades.
invest
./invest.md

Cobie Cycle Filter

Use this skill to apply Cobie-style judgment.

When To Use

Use this skill when the user asks for:

  • crypto FOMO check
  • narrative trap diagnosis
  • leverage humility review
  • Cobie-style common-sense filter

Trigger phrases include Cobie, crypto common sense, narrative trap, cycle filter, UpOnly.

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 hype with no decision.

Inputs Needed

  • Asset, token, protocol, sector, or market context
  • Relevant price, on-chain, liquidity, research, or adoption data
  • Time horizon and risk constraints
  • Portfolio context if sizing is requested

Process

  1. Judge cycle temperature.
  2. Stress-test the narrative.
  3. Check size, leverage, and ego.
  4. Stand down if the trade depends on not being wrong.

Output Format

md
# Cobie Cycle Filter View: [Subject]

## Verdict
Proceed / Reduce / Stand Down / Narrative Trap / Pass

## Thesis

## Evidence

## Risks

## Action Plan

## Invalidation

## Missing Data

Guardrails

  • 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 crypto 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/cobie-cycle-filter of questflowai/investorskills.

  • SKILL.md
  • invest.md

Open the folder on GitHubat commit 2844d78

Compare with similar skills

Cobie Cycle Filter 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.

Cobie Cycle Filter compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Cobie Cycle Filter this skillquestflowai/investorskills1.9k—~420Automated safety check: PassMIT
Arize Evaluatorgithub/awesome-copilot40k1 repos~8.1kAutomated safety check: NotesMIT
LLM Evaluationdavila7/claude-code-templates32k12 repos~3.5kAutomated safety check: PassMIT
Agent Evaluationsickn33/agentic-awesome-skills47k1 repos~2kAutomated safety check: PassMIT
EvaluatorsArize-ai/phoenix12k—~1.7kAutomated safety check: PassCustom licence
Crypto Derivatives StrategiesHKUDS/Vibe-Trading35k—~2.4kAutomated safety check: PassMIT

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Questions about Cobie Cycle Filter

What does Cobie Cycle Filter do?

A skill your agent uses when evaluating crypto decisions through a Cobie-style cycle filter: common-sense risk, narrative traps, leverage humility, and avoiding obvious stupid trades. Cobie Cycle Filter is an agent skill from questflowai/investorskills. Use when evaluating crypto decisions through a Cobie-style cycle filter: common-sense risk, narrative traps, leverage humility, and avoiding obvious stupid trades.

When should I use Cobie Cycle Filter?

Cobie Cycle Filter fits situations like: evaluating crypto decisions through a Cobie-style cycle filter: common-sense risk; narrative traps; leverage humility; avoiding obvious stupid trades.

How do I install Cobie Cycle Filter in Claude Code?

Run `npx skills add questflowai/investorskills --skill cobie-cycle-filter -a claude-code`. Or copy the skill folder (skills/cobie-cycle-filter in questflowai/investorskills) into .claude/skills/cobie-cycle-filter in your project. Claude Code loads it when a task matches its description.

How do I install Cobie Cycle Filter in Codex?

Run `npx skills add questflowai/investorskills --skill cobie-cycle-filter -a codex`. Or copy the skill folder (skills/cobie-cycle-filter in questflowai/investorskills) into .agents/skills/cobie-cycle-filter in your project. Codex loads it when a task matches its description.

Can I use Cobie Cycle Filter 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 cobie-cycle-filter -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cobie-cycle-filter, .gemini/skills/cobie-cycle-filter, .github/skills/cobie-cycle-filter and .opencode/skills/cobie-cycle-filter in your project.

What does Cobie Cycle Filter need to run?

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

Does Cobie Cycle Filter 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 Cobie Cycle Filter 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 Cobie Cycle Filter use?

Cobie Cycle Filter 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 Cobie Cycle Filter use?

About 420 tokens (SKILL.md is roughly 1.7k 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 Cobie Cycle Filter?

Skills that share tags, products or a category with Cobie Cycle Filter: 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 Cobie Cycle Filter?

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.