livermore

livermore is a skill for Claude Code, Codex from questflowai/investorskills. It costs 39 tokens per session (622 once invoked), scanned A, original, MIT.

A trading-analysis method based on Jesse Livermore's trend-following rules. It evaluates breakouts, pivotal points, adding to winning positions, and stop-loss discipline in liquid markets.

In plain words
What is it for?
Use it to assess breakout trades, plan trend-following entries, decide whether to add to a winning position, and set exits or risk limits.
Why use it?
It provides rules for deciding whether a market is showing a clear trend and when a trade idea is invalid. It also discourages adding to losing positions or trading unclear, rangebound markets.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to assess breakout trades, plan trend-following entries, decide whether to add to a winning position, and set exits or risk limits.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/questflowai/investorskills/livermore
About the project

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.

questflowai/investorskills · 1,849 stars · on GitHub · questflow.ai

Install

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.

Any agent
npx skills add questflowai/investorskills --skill livermore
Clone the repo
git clone --depth 1 https://github.com/questflowai/investorskills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for livermore

README.md
[![agentmods](https://agentmods.dev/badge/skills/questflowai/investorskills/livermore/github.svg)](https://agentmods.dev/skills/questflowai/investorskills/livermore)
Your own site
<a href="https://agentmods.dev/skills/questflowai/investorskills/livermore"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/livermore/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.

agentmods 80×15 button for livermore

Your own site · 80×15
<a href="https://agentmods.dev/skills/questflowai/investorskills/livermore"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/livermore.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 622 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00039 $0.00622
Opus 5 $0.00019 $0.00311
Sonnet 5 $0.00008 $0.00124
Haiku 4.5 $0.00004 $0.00062

Measured 11d ago against content hash c5ae713b3783, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

livermore 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.

skills/livermore/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Livermore Breakout

Use this skill to apply Jesse Livermore-style trend following: wait for a clear line of least resistance, enter only near pivotal points, add only after the market confirms, and cut losses quickly.

When To Use

Use this skill when the user asks for:

  • A buyable breakout or pivotal-point read
  • Trend-following trade planning
  • Pyramiding rules for a winning position
  • Stop placement and invalidation for a momentum trade
  • A pass/fail judgment on whether price action is acting right

Trigger phrases include Livermore, breakout, pivotal point, line of least resistance, pyramid, acting right, and cut losses.

Do Not Use When

  • The asset is illiquid or cannot be exited cleanly.
  • The user wants long-term business-quality underwriting.
  • The market is rangebound and no clear trend or pivotal point exists.
  • The user asks to average down into a losing trade.

Inputs Needed

  • Asset, ticker, or market
  • Timeframe: daily, weekly, or intraday
  • Recent OHLCV, breakout level, support level, and volume
  • Current position size and average cost if already owned
  • Account risk limit if sizing is requested

Process

  1. Decide whether the market has a clear line of least resistance.
  2. Identify the pivotal point or breakout level.
  3. Check volume, follow-through, and whether price holds the breakout.
  4. Reject the trade if it is late, extended, choppy, or illiquid.
  5. Define entry, stop, first add point, max add count, and invalidation.
  6. Size from risk first, not from excitement.
  7. If already in the trade, decide whether to hold, add, trim, or exit.

Output Format

# Livermore View: [Asset]

## Verdict
Enter / Wait / Hold / Add / Exit / Stand Down

## Line Of Least Resistance

## Pivotal Point

## Signal Check
| Signal | Status | Evidence | Weight |
|--------|--------|----------|--------|

## Trade Plan
- Entry:
- Initial stop:
- First add:
- Max size:

## Invalidation

## Missing Data

Guardrails

  • Do not average down.
  • Do not anticipate a breakout before confirmation.
  • Do not add unless the prior entry is profitable.
  • Do not widen stops to avoid being wrong.
  • Do not force a trade in a dull, trendless market.

Read the full file on GitHub · 86 lines

Files

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.

Changes

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.

  1. 11d ago First seen · 86 lines · 39 tokens per session scan A c5ae713b3783

Subscribe to this mod's changes

livermore is a skill published in the GitHub repository questflowai/investorskills (1,849 stars, last pushed 18d ago), licensed MIT. It adds 39 tokens to every session and 622 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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