Agent skill

Industry Performance Snapshot

Retrieve a daily overview of industry performance using Octagon MCP.

MITAuto-check passed

Install Industry Performance Snapshot

skills CLI

$ npx skills add OctagonAI/skills --skill industry-performance-snapshot -a claude-code

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

GitHub CLI

$ gh skill install OctagonAI/skills industry-performance-snapshot --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/OctagonAI/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/industry-performance-snapshot .claude/skills/industry-performance-snapshot && 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/

Paste into Claude Code

Install the "industry-performance-snapshot" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/industry-performance-snapshot into .claude/skills/industry-performance-snapshot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "industry-performance-snapshot", 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

$skill-installer install https://github.com/OctagonAI/skills/tree/main/skills/industry-performance-snapshot

Type 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.

skills CLI

$ npx skills add OctagonAI/skills --skill industry-performance-snapshot -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install OctagonAI/skills industry-performance-snapshot --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/industry-performance-snapshot .agents/skills/industry-performance-snapshot && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "industry-performance-snapshot" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/industry-performance-snapshot into .agents/skills/industry-performance-snapshot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "industry-performance-snapshot", 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.

skills CLI

$ npx skills add OctagonAI/skills --skill industry-performance-snapshot -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install OctagonAI/skills industry-performance-snapshot --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/industry-performance-snapshot .cursor/skills/industry-performance-snapshot && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "industry-performance-snapshot" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/industry-performance-snapshot into .cursor/skills/industry-performance-snapshot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "industry-performance-snapshot", 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

$ gemini skills install https://github.com/OctagonAI/skills.git --path skills/industry-performance-snapshot

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add OctagonAI/skills --skill industry-performance-snapshot -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install OctagonAI/skills industry-performance-snapshot --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/industry-performance-snapshot .gemini/skills/industry-performance-snapshot && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "industry-performance-snapshot" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/industry-performance-snapshot into .gemini/skills/industry-performance-snapshot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "industry-performance-snapshot", 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.

GitHub CLI

$ gh skill install OctagonAI/skills industry-performance-snapshot

Installs 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).

skills CLI

$ npx skills add OctagonAI/skills --skill industry-performance-snapshot -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/industry-performance-snapshot .github/skills/industry-performance-snapshot && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "industry-performance-snapshot" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/industry-performance-snapshot into .github/skills/industry-performance-snapshot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "industry-performance-snapshot", 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.

skills CLI

$ npx skills add OctagonAI/skills --skill industry-performance-snapshot -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install OctagonAI/skills industry-performance-snapshot --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/industry-performance-snapshot .opencode/skills/industry-performance-snapshot && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "industry-performance-snapshot" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/industry-performance-snapshot into .opencode/skills/industry-performance-snapshot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "industry-performance-snapshot", 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: industry-performance-snapshot
GitHub stars: 127
Token cost: ~1.9k tokens
SKILL.md length: 568 words
Files: 5 (incl. references)
Skills in repo: 53
Repo updated: Jun 5, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Retrieve a daily overview of industry performance using Octagon MCP.

Works in 4 steps: Identify Parameters → Execute Query via Octagon MCP → Expected Output → …
Analyzing daily price movements
SKILL.md covers Prerequisites, Workflow, Example Queries and Understanding Daily Performance, plus 6 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Industry Performance Snapshot is an agent skill from OctagonAI/skills. Retrieve a daily overview of industry performance using Octagon MCP. Use when analyzing daily price movements, average changes, and performance trends for specific industries within an exchange.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `README.md`, `marketplace.json` and `references/interpreting-results.md`).

It works with Model Context Protocol. The repository describes itself as: A collection of Claude skills for agentic financial research by Octagon. The licence is MIT.

When your agent uses it

Analyzing daily price movements
Average changes
Performance trends for specific industries within an exchange

Example prompts

“/industry-performance-snapshot”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

Identify Parameters
Execute Query via Octagon MCP
Expected Output
Interpret Results

What it can do on your machine

Read from SKILL.md and the folder at commit 51e938c. 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 json).
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

Industry Performance Snapshot loads about 1.9k tokens when it runs, and up to ~4.3k if it reads all its reference files. Until then it costs about 56 tokens; SKILL.md has 568 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: ~1.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~4.3k

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 OctagonAI/skills at commit 51e938c, republished under its MIT licence (© OctagonAI). 568 words, ~1,857 tokens.

Download SKILL.mdSave it as .claude/skills/industry-performance-snapshot/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.

name: industry-performance-snapshot
description: Retrieve a daily overview of industry performance using Octagon MCP. Use when analyzing daily price movements, average changes, and performance trends for specific industries within an exchange.

Industry Performance Snapshot

Retrieve daily industry performance data by exchange using the Octagon MCP server.

Prerequisites

Ensure Octagon MCP is configured in your AI agent (Cursor, Claude Desktop, Windsurf, etc.). See references/mcp-setup.md for installation instructions.

Workflow

1. Identify Parameters

Determine your query parameters:

Date: Specific trading date
Exchange: NYSE, NASDAQ, etc.
Industry: Biotechnology, Semiconductors, Software, etc.

2. Execute Query via Octagon MCP

Use the octagon-agent tool with a natural language prompt:

Retrieve a daily overview of industry performance for <DATE>, filtered by exchange <EXCHANGE> and industry <INDUSTRY>.

MCP Call Format:

json

{
  "server": "octagon-mcp",
  "toolName": "octagon-agent",
  "arguments": {
    "prompt": "Retrieve a daily overview of industry performance for 2025-01-09, filtered by exchange NASDAQ and industry Biotechnology."
  }
}

3. Expected Output

The agent returns daily industry performance metrics:

Metric	Value
Industry	Biotechnology
Exchange	NASDAQ
Date	2025-01-09
Average Change	+7.89%

Interpretation: Strong positive movement in biotechnology stocks on NASDAQ for the specified date.

Data Sources: octagon-stock-data-agent

4. Interpret Results

See references/interpreting-results.md for guidance on:

Evaluating daily performance magnitude
Comparing industry vs. market moves
Identifying sector rotation signals
Tracking momentum trends

Example Queries

Specific Industry and Date:

Retrieve a daily overview of industry performance for 2025-01-09, filtered by exchange NASDAQ and industry Biotechnology.

Technology Industry:

Get today's performance for the Semiconductor industry on NASDAQ.

Multiple Industries:

Compare daily performance of Software, Hardware, and Semiconductors on NASDAQ.

Historical Date:

What was the Biotechnology industry performance on the last FDA approval day?

Trend Analysis:

Show industry performance for Healthcare on NYSE over the past week.

Understanding Daily Performance

What Average Change Represents

Aspect	Description
Definition	Average price change of stocks in industry
Calculation	Mean of individual stock returns
Weighting	Equal or market-cap weighted
Timeframe	Single trading day

Performance Levels

Change	Interpretation
>5%	Exceptional (major catalyst)
2-5%	Strong move
0.5-2%	Moderate move
-0.5% to +0.5%	Flat
-2 to -0.5%	Moderate decline
<-5%	Significant decline

Industry Categories

Technology Industries

Industry	Typical Volatility
Biotechnology	High (clinical trials, FDA)
Semiconductors	Moderate-High (cyclical)
Software	Moderate
IT Services	Low-Moderate
Hardware	Moderate

Healthcare Industries

Industry	Typical Volatility
Biotechnology	High
Pharmaceuticals	Moderate
Medical Devices	Low-Moderate
Healthcare Services	Low

Financial Industries

Industry	Typical Volatility
Banks	Moderate (rate-sensitive)
Insurance	Low-Moderate
Asset Management	Moderate
Fintech	Moderate-High

Analyzing Performance

Context Matters

Factor	Consideration
Market direction	Industry vs. S&P 500
Sector performance	Industry vs. sector
Historical range	Normal vs. unusual
Catalyst presence	News-driven vs. rotation

Relative Performance

Comparison	Insight
Industry > Market	Outperforming
Industry = Market	In-line
Industry < Market	Underperforming

Alpha Calculation

Alpha = Industry Return - Market Return

Example:

Industry: +7.89%
Market: +0.5%
Alpha: +7.39% (significant outperformance)

Catalyst Analysis

Common Industry Catalysts

Catalyst	Expected Impact
FDA approval	Biotech +3-10%
Earnings season	Varies
Rate decision	Financials ±2-5%
Product launch	Tech +1-3%
Regulatory news	Varies

Show full SKILL.md (232 more words)Show less

Biotechnology Specifics

Event	Typical Response
Phase 3 success	+5-20%
FDA approval	+5-15%
Clinical setback	-5-30%
M&A announcement	+10-50%

Momentum Analysis

Trend Signals

Pattern	Interpretation
Multiple up days	Positive momentum
Multiple down days	Negative momentum
Reversal	Potential trend change
Range-bound	Consolidation

Follow-Through

Signal	Reliability
High volume + strong move	Strong signal
Low volume + strong move	Weak signal
Continuation next day	Trend confirmation
Reversal next day	False move

Sector Rotation Signals

Industry Leadership

Pattern	Meaning
Cyclicals leading	Risk-on sentiment
Defensives leading	Risk-off sentiment
Growth leading	Optimistic outlook
Value leading	Cautious approach

Rotation Indicators

Observation	Interpretation
Biotech surging	Speculative appetite
Utilities leading	Flight to safety
Banks rallying	Rate expectations
Tech selling off	Growth concerns

Exchange Considerations

NASDAQ Characteristics

Factor	Impact
Tech-heavy	More volatile
Growth-oriented	Bigger moves
Biotech concentration	FDA-sensitive

NYSE Characteristics

Factor	Impact
More diversified	Moderate volatility
Large-cap focus	Steadier moves
Traditional industries	Less speculative

Common Use Cases

Daily Monitoring

How did Biotechnology perform today?

Catalyst Research

What was the industry reaction to the FDA announcement?

Sector Rotation

Which industries are leading the market today?

Historical Analysis

What was industry performance during last quarter's earnings season?

Momentum Tracking

Is the Semiconductor industry showing positive momentum this week?

Analysis Tips

Compare to market: Industry move vs. S&P 500/NASDAQ.
Check for catalysts: News explains unusual moves.
Consider volatility: Biotech ±5% is normal, utilities ±5% is not.
Track trends: One day is noise, multiple days is signal.
Volume matters: High volume confirms moves.
Look at breadth: How many stocks participated?

Integration with Other Skills

Skill	Combined Use
sector-performance-snapshot	Broader sector context
industry-pe-ratios	Valuation with performance
stock-performance	Individual stock details
stock-quote	Current prices

Files

SKILL.md and 4 other files (references) in skills/industry-performance-snapshot of OctagonAI/skills.

SKILL.md
README.md
marketplace.json
references/interpreting-results.md
references/mcp-setup.md

Open the folder on GitHubat commit 51e938c

Compare with similar skills

Industry Performance Snapshot 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.

Industry Performance Snapshot compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Industry Performance Snapshot this skillOctagonAI/skills	127	—	~1.9k	Automated safety check: Pass	MIT	4 mo ago
MCP Server Builderanthropics/skills	180k	63 repos	~2.3k	Automated safety check: Pass	Apache-2.0	yesterday
MCP Server BuildershareAI-lab/learn-claude-code	78k	4 repos	~1.2k	Automated safety check: Pass	MIT	13 days ago
MCP Integration for Pluginsanthropics/claude-plugins-official	38k	11 repos	~3.1k	Automated safety check: Pass	Apache-2.0	today
MCP Developmentcoollabsio/coolify	63k	1 repos	~949	Automated safety check: Pass	MIT	yesterday
Analyze Logsactivepieces/activepieces	25k	1 repos	~1.6k	Automated safety check: Pass	MIT	today

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Questions about Industry Performance Snapshot

What does Industry Performance Snapshot do?

Retrieve a daily overview of industry performance using Octagon MCP. Industry Performance Snapshot is an agent skill from OctagonAI/skills. Retrieve a daily overview of industry performance using Octagon MCP.

When should I use Industry Performance Snapshot?

Industry Performance Snapshot fits situations like: analyzing daily price movements; average changes; performance trends for specific industries within an exchange.

How do I install Industry Performance Snapshot in Claude Code?

Run `npx skills add OctagonAI/skills --skill industry-performance-snapshot -a claude-code`. Or copy the skill folder (skills/industry-performance-snapshot in OctagonAI/skills) into .claude/skills/industry-performance-snapshot in your project. Claude Code loads it when a task matches its description.

How do I install Industry Performance Snapshot in Codex?

Run `npx skills add OctagonAI/skills --skill industry-performance-snapshot -a codex`. Or copy the skill folder (skills/industry-performance-snapshot in OctagonAI/skills) into .agents/skills/industry-performance-snapshot in your project. Codex loads it when a task matches its description.

Can I use Industry Performance Snapshot 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 OctagonAI/skills --skill industry-performance-snapshot -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/industry-performance-snapshot, .gemini/skills/industry-performance-snapshot, .github/skills/industry-performance-snapshot and .opencode/skills/industry-performance-snapshot in your project.

What does Industry Performance Snapshot need to run?

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

Does Industry Performance Snapshot 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 Industry Performance Snapshot 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 Industry Performance Snapshot use?

Industry Performance Snapshot 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 Industry Performance Snapshot use?

About 1.9k tokens (SKILL.md is roughly 7.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.4k tokens, read only when the agent opens those files.

What are the alternatives to Industry Performance Snapshot?

Skills that share tags, products or a category with Industry Performance Snapshot: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and MCP Development (coollabsio/coolify, 63k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Industry Performance Snapshot?

OctagonAI (a GitHub organization) maintains it in OctagonAI/skills, which has 127 GitHub stars. The repository holds 53 skills in this directory. The repository was last updated on June 5, 2026.

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

Install Industry Performance Snapshot

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Industry Performance Snapshot

Prerequisites

Workflow

1. Identify Parameters

2. Execute Query via Octagon MCP

3. Expected Output

4. Interpret Results

Example Queries

Understanding Daily Performance

What Average Change Represents

Performance Levels

Industry Categories

Technology Industries

Healthcare Industries

Financial Industries

Analyzing Performance

Context Matters

Relative Performance

Alpha Calculation

Catalyst Analysis

Common Industry Catalysts

Biotechnology Specifics

Momentum Analysis

Trend Signals

Follow-Through

Sector Rotation Signals

Industry Leadership

Rotation Indicators

Exchange Considerations

NASDAQ Characteristics

NYSE Characteristics

Common Use Cases

Daily Monitoring

Catalyst Research

Sector Rotation

Historical Analysis

Momentum Tracking

Analysis Tips

Integration with Other Skills

Files

Compare with similar skills

Similar skills

More from OctagonAI/skills

Related

Questions about Industry Performance Snapshot