Investor Skills is an open-source library that organizes investing judgment—such as evaluating opportunities, managing risk, and acting under uncertainty—into structured, reusable instructions for people and AI finance agents. It is designed for studying and applying investment approaches, including inside Questflow and other agent tools. The catalogue includes portable skill packages from the library.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add questflowai/investorskills --skill cobie-cycle-filtergit clone --depth 1 https://github.com/questflowai/investorskillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/questflowai/investorskills/cobie-cycle-filter)<a href="https://agentmods.dev/skills/questflowai/investorskills/cobie-cycle-filter"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/cobie-cycle-filter/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/questflowai/investorskills/cobie-cycle-filter"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/cobie-cycle-filter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00035 | $0.00377 |
| Opus 5 | $0.00017 | $0.00188 |
| Sonnet 5 | $0.00007 | $0.00075 |
| Haiku 4.5 | $0.00003 | $0.00038 |
Grade A, and why
cobie-cycle-filter scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
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
- Judge cycle temperature.
- Stress-test the narrative.
- Check size, leverage, and ego.
- Stand down if the trade depends on not being wrong.
Output Format
# 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.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 74 lines · 35 tokens per session scan A 4e99c9d0b960
cobie-cycle-filter is a skill published in the GitHub repository questflowai/investorskills (1,849 stars, last pushed 19d ago), licensed MIT. It adds 35 tokens to every session and 377 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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