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 OctagonAI/skills --skill price-target-summarygit clone --depth 1 https://github.com/OctagonAI/skillsWrote 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/octagonai/skills/price-target-summary)<a href="https://agentmods.dev/skills/octagonai/skills/price-target-summary"><img src="https://agentmods.dev/badge/skills/octagonai/skills/price-target-summary/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/octagonai/skills/price-target-summary"><img src="https://agentmods.dev/badge/skills/octagonai/skills/price-target-summary.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00039 | $0.01507 |
| Opus 5 | $0.00019 | $0.00754 |
| Sonnet 5 | $0.00008 | $0.00301 |
| Haiku 4.5 | $0.00004 | $0.00151 |
Grade A, and why
price-target-summary 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 13d 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.
How it starts
The opening of the file, as written. The whole thing — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Price Target Summary
Retrieve aggregated analyst price target data across multiple timeframes 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 the Stock
Determine the ticker symbol for the company you want to analyze (e.g., AAPL, MSFT, GOOGL).
2. Execute Query via Octagon MCP
Use the octagon-agent tool with a natural language prompt:
Retrieve the analysts' price-target summary for the stock symbol <TICKER>.
MCP Call Format:
{
"server": "octagon-mcp",
"toolName": "octagon-agent",
"arguments": {
"prompt": "Retrieve the analysts' price-target summary for the stock symbol AAPL."
}
}
3. Expected Output
The agent returns price target data across timeframes:
| Timeframe | Number of Analysts | Average Price Target |
|---|---|---|
| Last Month | 9 | $305.72 |
| Last Quarter | 16 | $312.80 |
| Last Year | 48 | $282.91 |
| All Time | 229 | $219.71 |
Key Insights: Trend analysis comparing timeframes
Data Sources: octagon-stock-data-agent (aggregating StreetInsider, TheFly, Benzinga, etc.)
4. Interpret Results
See references/interpreting-results.md for guidance on:
- Analyzing target trends
- Calculating upside/downside potential
- Understanding analyst coverage
- Evaluating consensus strength
Example Queries
Basic Query:
Retrieve the analysts' price-target summary for the stock symbol AAPL.
With Current Price Context:
What are the analyst price targets for TSLA compared to its current price?
Trend Focus:
How have analyst price targets for NVDA changed over the past year?
Coverage Analysis:
How many analysts cover Microsoft and what are their price targets?
Range Request:
What are the highest and lowest analyst price targets for AMZN?
What ships with it
4 files 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.
- 13d ago First seen · 276 lines · 39 tokens per session scan A 563ea2448eab
price-target-summary is a skill published in the GitHub repository OctagonAI/skills (127 stars, last pushed 3mo ago), licensed MIT. It adds 39 tokens to every session and 1,507 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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