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Agent skill

Market Watch

by ginlix-ai in ginlix-ai/LangAlpha

Track live prices for the tickers central to the current task.

Apache-2.0Auto-check passed

Install Market Watch

skills CLI
$ npx skills add ginlix-ai/LangAlpha --skill market-watch -a claude-code

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

GitHub CLI
$ gh skill install ginlix-ai/LangAlpha market-watch --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/ginlix-ai/LangAlpha.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/langalpha_research/skills/market-watch .claude/skills/market-watch && 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
market-watch
GitHub stars
1.8k
Token cost
~1k tokens
SKILL.md length
605 words
Files
1
Skills in repo
37
Repo updated
First seen
Licence
Apache-2.0

At a glance

Track live prices for the tickers central to the current task.

  • Works in 3 steps: At the start of the task, identify the… → While they matter, read the ambient feed… → When live tracking is no longer…
  • SKILL.md covers When to use, Workflow, How the feed works and Reading rules, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Market Watch is an agent skill from ginlix-ai/LangAlpha. Track live prices for the tickers central to the current task. Registers symbols for an ambient real-time price feed, keeps analysis current with the newest quotes, and re-checks staleness before stating prices.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Claude Code for Financial Market. The licence is Apache-2.0.

Example prompts

  • “/market-watch”

Workflow steps

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

  1. At the start of the task, identify the ticker(s) central to the
  2. While they matter, read the ambient feed (below) for the current
  3. When live tracking is no longer relevant, call watch_market with

What it can do on your machine

Read from SKILL.md and the folder at commit 2855e43. 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.

    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

Market Watch loads about 1k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 605 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~56
When it runs · the whole SKILL.md, loaded when a task matches
~1k

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 ginlix-ai/LangAlpha at commit 2855e43, republished under its Apache-2.0 licence (© ginlix-ai). 605 words, ~1,004 tokens.

Download SKILL.mdSave it as .claude/skills/market-watch/SKILL.md (or your agent's skills folder).
name
market-watch
description
Track live prices for the tickers central to the current task. Registers symbols for an ambient real-time price feed, keeps analysis current with the newest quotes, and re-checks staleness before stating prices.

Market Watch

Keep intraday analysis anchored to live prices. When a task turns on current price, a level check, an intraday move, a "where is it trading now", register the central tickers so fresh quotes arrive automatically and your numbers never go stale mid-task.

Evidence labels, source tiers, staleness, the readiness posture and the intake limits: .agents/skills/research-conventions/SKILL.md, read before a price you pulled here lands in a deliverable.

When to use

Intraday or live-price analysis where the price may move while you work: "is NVDA above 205 right now", "how's TSLA trading into the print", sizing a level off the current quote. Skip it for purely historical or end-of-day work where a single snapshot is enough.

Workflow

  1. At the start of the task, identify the ticker(s) central to the request and register them immediately with watch_market.
  2. While they matter, read the ambient feed (below) for the current price rather than re-quoting on every step.
  3. When live tracking is no longer relevant, call watch_market with action="unwatch" to stop watching some or all symbols (omit symbols to clear the whole list).

How the feed works

Once a symbol is watched, fresh prices arrive on their own as <market-watch> price blocks attached to conversation messages and tool results. This is ambient data: not user text, and not tool output you requested. Each block is a snapshot at a moment in time; the newest <market-watch> entry in the conversation is the current price, and any earlier entry (including numbers in your own earlier statements) may be stale.

Reading rules

  • Treat the newest <market-watch> entry as the live price. Prefer it, or a fresh get_quote, over any older number in the thread.
  • If the price moves materially mid-analysis, acknowledge it and adapt your read rather than silently carrying the older figure.
  • Before you state a price in a final answer: if the newest feed entry is more than a minute old, make one get_quote call to re-check first.
Show full SKILL.md (279 more words)Show less

When a price leaves this skill

A live price is only live in the thread. The moment it lands in a note, a slide, a cell or a file, it is a historical figure, and it carries two things beside it: the time it was retrieved and where it came from, the ambient feed or a named get_quote call. A price written into a deliverable without its retrieval time is stale the moment the file is saved, and nothing on the page tells the reader that.

The same stamp travels with everything built on the price: market cap, enterprise value, and every multiple. The full always-timestamped list and the freshness threshold for each data type are in .agents/skills/research-conventions/references/evidence.md.

When the feed contradicts a number already stated this session, restate it: give both figures with both timestamps, and say the later one governs. One sentence does it, "we said 204.10 at 10:42; it is 207.60 as of 11:15, and the level check below uses the later figure". Switching silently leaves the reader unable to tell a correction from a typo, and carrying the older figure forward is the failure this feed exists to prevent. Where the earlier figure already went into a saved artifact, update the artifact and say what changed in the message that delivers it.

Mechanics to know

  • Stamps only flow while the market session is open: expect no feed outside trading hours.
  • Updates are throttled: roughly one stamp per ~25s across the turn, not a tick-by-tick stream.
  • The watch list is per-thread, capped at 10 symbols, and expires after ~6h of inactivity. On a long task, if the feed goes quiet, just call watch_market again to re-register.

© ginlix-ai, 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

Files

Just SKILL.md in plugins/langalpha_research/skills/market-watch of ginlix-ai/LangAlpha.

Open the folder on GitHubat commit 2855e43

Compare with similar skills

Market Watch 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.

Market Watch compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Market Watch this skillginlix-ai/LangAlpha1.8k—~1kAutomated safety check: PassApache-2.0
Pricingsickn33/agentic-awesome-skills47k1 repos~1.9kAutomated safety check: PassMIT
Price Watchamd/gaia1.6k—~658Automated safety check: PassMIT
Pricing Strategyphuryn/pm-skills27k—~913Automated safety check: PassMIT
Pricing Strategyalirezarezvani/claude-skills28k1 repos~3.5kAutomated safety check: PassMIT
Pricing Strategistalirezarezvani/claude-skills28k—~2.3kAutomated safety check: PassMIT

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Questions about Market Watch

What does Market Watch do?

Track live prices for the tickers central to the current task. Market Watch is an agent skill from ginlix-ai/LangAlpha. Track live prices for the tickers central to the current task.

How do I install Market Watch in Claude Code?

Run `npx skills add ginlix-ai/LangAlpha --skill market-watch -a claude-code`. Or copy the skill folder (plugins/langalpha_research/skills/market-watch in ginlix-ai/LangAlpha) into .claude/skills/market-watch in your project. Claude Code loads it when a task matches its description.

How do I install Market Watch in Codex?

Run `npx skills add ginlix-ai/LangAlpha --skill market-watch -a codex`. Or copy the skill folder (plugins/langalpha_research/skills/market-watch in ginlix-ai/LangAlpha) into .agents/skills/market-watch in your project. Codex loads it when a task matches its description.

Can I use Market Watch 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 ginlix-ai/LangAlpha --skill market-watch -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/market-watch, .gemini/skills/market-watch, .github/skills/market-watch and .opencode/skills/market-watch in your project.

What does Market Watch need to run?

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

Does Market Watch 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 Market Watch 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 Market Watch use?

Market Watch 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.

How many tokens does Market Watch use?

About 1k tokens (SKILL.md is roughly 4k 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 Market Watch?

Skills that share tags, products or a category with Market Watch: Pricing (sickn33/agentic-awesome-skills, 47k stars), Price Watch (amd/gaia, 1.6k stars), Pricing Strategy (phuryn/pm-skills, 27k stars) and Pricing Strategy (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Market Watch?

ginlix-ai (a GitHub organization) maintains it in ginlix-ai/LangAlpha, which has 1,811 GitHub stars. The repository holds 37 skills in this directory. The repository was last updated on October 10, 2026.

Source: ginlix-ai/LangAlpha on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.