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Agent skill

Octagon API Smoke Test

by OctagonAI in OctagonAI/octagon-mcp-server

Validate Octagon plugin configuration and run a lightweight smoke test across the main Octagon MCP workflows.

MITAuto-check passedTesting & QA

Install Octagon API Smoke Test

skills CLI
$ npx skills add OctagonAI/octagon-mcp-server --skill octagon-api-smoke-test -a claude-code

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

GitHub CLI
$ gh skill install OctagonAI/octagon-mcp-server octagon-api-smoke-test --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/octagon-mcp-server.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/octagon-api-smoke-test .claude/skills/octagon-api-smoke-test && 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
octagon-api-smoke-test
GitHub stars
147
Token cost
~381 tokens
SKILL.md length
121 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

Validate Octagon plugin configuration and run a lightweight smoke test across the main Octagon MCP workflows.

  • Works in 4 steps: Run a simple octagon-agent request → Run a simple octagon-deep-research-agent… → If a Kalshi URL is available, run… → …
  • Checking whether the plugin is configured correctly
  • SKILL.md covers Smoke test sequence, MCP calls, Failure triage and Success criteria
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Octagon API Smoke Test is an agent skill from OctagonAI/octagon-mcp-server. Validate Octagon plugin configuration and run a lightweight smoke test across the main Octagon MCP workflows. Use when checking whether the plugin is configured correctly, debugging auth, or verifying tool availability.

Its SKILL.md is about 380 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Testing & QA, covering QA and bug reports. It works with Model Context Protocol and Kalshi. The repository describes itself as: An MCP server for public & prediction markets research. Ask natural-language questions and get structured, source-backed answers across SEC filings, earnings transcripts, company… The licence is MIT.

When your agent uses it

  • Checking whether the plugin is configured correctly
  • Verifying tool availability

Example prompts

  • “/octagon-api-smoke-test”

Workflow steps

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

  1. Run a simple octagon-agent request
  2. Run a simple octagon-deep-research-agent request
  3. If a Kalshi URL is available, run octagon-prediction-markets-agent
  4. If an event ticker is available, run prediction_markets_history

What it can do on your machine

Read from SKILL.md and the folder at commit a323463. 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

Octagon API Smoke Test loads about 381 tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 121 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
When it runs · the whole SKILL.md, loaded when a task matches
~381

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/octagon-mcp-server at commit a323463, republished under its MIT licence (© OctagonAI). 121 words, ~381 tokens.

Download SKILL.mdSave it as .claude/skills/octagon-api-smoke-test/SKILL.md (or your agent's skills folder).
name
octagon-api-smoke-test
description
Validate Octagon plugin configuration and run a lightweight smoke test across the main Octagon MCP workflows. Use when checking whether the plugin is configured correctly, debugging auth, or verifying tool availability.

Octagon API Smoke Test

Use this skill to confirm that the Claude plugin and Octagon MCP are configured correctly.

Smoke test sequence

  1. Run a simple octagon-agent request
  2. Run a simple octagon-deep-research-agent request
  3. If a Kalshi URL is available, run octagon-prediction-markets-agent
  4. If an event ticker is available, run prediction_markets_history

MCP calls

General agent:

json
{
  "server": "octagon-mcp",
  "toolName": "octagon-agent",
  "arguments": {
    "prompt": "Give me a one-sentence summary of Apple's latest quarter."
  }
}

Deep research:

json
{
  "server": "octagon-mcp",
  "toolName": "octagon-deep-research-agent",
  "arguments": {
    "prompt": "Research the current AI infrastructure spending cycle in one short paragraph."
  }
}

Failure triage

  • Missing auth or invalid key: check plugin api_key
  • Unexpected environment or staging issue: check api_base_url
  • Prediction market failures mentioning Kalshi URL: supply a valid Kalshi market URL
  • Credit or entitlement failures: report the exact error and stop

Success criteria

  • At least one Octagon tool returns usable text
  • Tool failures, if any, are classified clearly as config, entitlement, input, or service issues

© OctagonAI, MIT. 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 skills/octagon-api-smoke-test of OctagonAI/octagon-mcp-server.

Open the folder on GitHubat commit a323463

Compare with similar skills

Octagon API Smoke Test 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.

Octagon API Smoke Test compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Octagon API Smoke Test this skillOctagonAI/octagon-mcp-server147—~381Automated safety check: PassMIT
Agentacct Workflowmikehasa/agentacct766—~1.6kAutomated safety check: PassMIT
ROSClaw SimForge Validatorros-claw/rosclaw221—~2.5kAutomated safety check: PassMIT
Hands On Testktnyt/cclsp675—~1.7kAutomated safety check: PassMIT
Diff-Driven Smoke TestsSkyvern-AI/skyvern23k—~5.2kAutomated safety check: PassAGPL-3.0
Glance TestDebugBase/glance156—~827Automated safety check: PassMIT

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  • Prediction Markets Analysis

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  • Analyst Estimates

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  • Earnings Call Analysis

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  • Sec 10k Analysis

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  • Stock Quote

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Works with

Categories

Questions about Octagon API Smoke Test

What does Octagon API Smoke Test do?

Validate Octagon plugin configuration and run a lightweight smoke test across the main Octagon MCP workflows. Octagon API Smoke Test is an agent skill from OctagonAI/octagon-mcp-server. Validate Octagon plugin configuration and run a lightweight smoke test across the main Octagon MCP workflows.

When should I use Octagon API Smoke Test?

Octagon API Smoke Test fits situations like: checking whether the plugin is configured correctly; verifying tool availability.

How do I install Octagon API Smoke Test in Claude Code?

Run `npx skills add OctagonAI/octagon-mcp-server --skill octagon-api-smoke-test -a claude-code`. Or copy the skill folder (skills/octagon-api-smoke-test in OctagonAI/octagon-mcp-server) into .claude/skills/octagon-api-smoke-test in your project. Claude Code loads it when a task matches its description.

How do I install Octagon API Smoke Test in Codex?

Run `npx skills add OctagonAI/octagon-mcp-server --skill octagon-api-smoke-test -a codex`. Or copy the skill folder (skills/octagon-api-smoke-test in OctagonAI/octagon-mcp-server) into .agents/skills/octagon-api-smoke-test in your project. Codex loads it when a task matches its description.

Can I use Octagon API Smoke Test 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/octagon-mcp-server --skill octagon-api-smoke-test -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/octagon-api-smoke-test, .gemini/skills/octagon-api-smoke-test, .github/skills/octagon-api-smoke-test and .opencode/skills/octagon-api-smoke-test in your project.

What does Octagon API Smoke Test need to run?

SKILL.md names no scripts, command-line tools or credentials: Octagon API Smoke Test is instructions for the agent only.

Does Octagon API Smoke Test 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 Octagon API Smoke Test 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 Octagon API Smoke Test use?

Octagon API Smoke Test 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 Octagon API Smoke Test use?

About 381 tokens (SKILL.md is roughly 1.5k 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 Octagon API Smoke Test?

Skills that share tags, products or a category with Octagon API Smoke Test: Agentacct Workflow (mikehasa/agentacct, 766 stars), ROSClaw SimForge Validator (ros-claw/rosclaw, 221 stars), Hands On Test (ktnyt/cclsp, 675 stars) and Diff-Driven Smoke Tests (Skyvern-AI/skyvern, 23k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Octagon API Smoke Test?

OctagonAI (a GitHub organization) maintains it in OctagonAI/octagon-mcp-server, which has 147 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on July 9, 2026.

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