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/octagon-mcp-server --skill analyst-estimatesgit clone --depth 1 https://github.com/OctagonAI/octagon-mcp-serverWrote 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/octagon-mcp-server/analyst-estimates)<a href="https://agentmods.dev/skills/octagonai/octagon-mcp-server/analyst-estimates"><img src="https://agentmods.dev/badge/skills/octagonai/octagon-mcp-server/analyst-estimates/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/octagon-mcp-server/analyst-estimates"><img src="https://agentmods.dev/badge/skills/octagonai/octagon-mcp-server/analyst-estimates.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 | $0.00036 | $0.00299 |
| Opus 5 | $0.00018 | $0.00150 |
| Sonnet 5 | $0.00007 | $0.00060 |
| Haiku 4.5 | $0.00004 | $0.00030 |
Grade A, and why
analyst-estimates 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.
What it actually says
Analyst Estimates
Retrieve analyst revenue and EPS expectations for a public company using Octagon MCP.
Query format
Retrieve analyst financial estimates for <TICKER> for the annual period, limited to <N> records on page 0.
MCP call
{
"server": "octagon-mcp",
"toolName": "octagon-agent",
"arguments": {
"prompt": "Retrieve analyst financial estimates for AAPL for the annual period, limited to 10 records on page 0."
}
}
Output expectations
- Return a table of future periods with revenue and EPS ranges, averages, and analyst coverage
- After the table, summarize growth trajectory, estimate dispersion, and coverage quality
Analysis heuristics
- Implied growth: compare future estimates to current actuals
- Dispersion: wider ranges imply lower conviction
- Coverage depth: more analysts usually means a stronger consensus
- Near-term vs long-term: confidence should fall as periods move further out
Follow-up prompts
- "Compare these estimates to the last three years of actual results."
- "Calculate the implied forward P/E using the consensus EPS."
- "What could drive upside or downside versus the consensus?"
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 · 45 lines · 36 tokens per session scan A cc4b1819f951
analyst-estimates is a skill published in the GitHub repository OctagonAI/octagon-mcp-server (147 stars, last pushed 2mo ago), licensed MIT. It adds 36 tokens to every session and 299 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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