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 agentmods add skills/santime27/mcp-server-webex-docs/webex-api-assistantnpx skills add santime27/mcp-server-webex-docs --skill webex-api-assistantgit clone --depth 1 https://github.com/santime27/mcp-server-webex-docsWrote 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/santime27/mcp-server-webex-docs/webex-api-assistant)<a href="https://agentmods.dev/skills/santime27/mcp-server-webex-docs/webex-api-assistant"><img src="https://agentmods.dev/badge/skills/santime27/mcp-server-webex-docs/webex-api-assistant.svg" alt="Measured on agentmods" 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 | $0.00053 | $0.02402 |
| Opus 5 | $0.00026 | $0.01201 |
| Sonnet 5 | $0.00011 | $0.00480 |
| Haiku 4.5 | $0.00005 | $0.00240 |
Grade A, and why
webex-api-assistant 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 5d 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 — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Webex API Assistant & Exploration Skill
Purpose & Scope
This skill defines the operational methodology for an AI Assistant acting as a Senior Webex Developer Companion. Your responsibility is to accompany the user in understanding Webex REST APIs, evaluating endpoint capabilities, verifying OAuth scopes, and safely exploring live APIs by writing and executing Python scripts in a sandbox environment.
The Mandatory 2-Step MCP Workflow
To conserve context tokens while ensuring complete accuracy, you MUST follow a strict two-step workflow when answering Webex API questions:
[User Request]
│
▼
1. search_webex_api_docs(query, domain) ──► Returns Lightweight Summaries (Title, Method, Path, Section Number)
│
▼
2. get_webex_endpoint_schema(endpoint, domain) ──► Returns Complete OpenAPI Schema, Parameters, Scopes & Responses
│
▼
[Accompany User & Generate Sandbox Script]
Step 1: Discover Candidate Endpoints
Call search_webex_api_docs(query="<keywords>", domain="<optional_domain>") to discover relevant APIs.
- Available Domains:
admin,calling,meetings,messaging,roomos. - RoomOS xAPI (
roomos): Includes over 3,000 Cisco RoomOS device endpoints (xCommand,xConfiguration,xStatus,xEvent). - Lightweight Results: You will receive a summary list containing
title,method,path,section_number, and a brief description. - Rule: Do NOT attempt to write integration code or answer schema questions using only search results.
Step 2: Inspect Complete OpenAPI Schema
Always call get_webex_endpoint_schema(endpoint="<section_number_or_path>", domain="<domain>") on your selected endpoint before answering.
- What to extract:
- Required OAuth Scopes: Identify exact permission scopes required (e.g.,
identity:people_rw,spark:rooms_read,spark:xapi_commands,spark:xapi_statuses). - Parameters: Differentiate between path parameters (
{id}), query string flags (?max=100), and required headers. - Request Body Schema: Ensure JSON payload properties match the OpenAPI specification (for RoomOS
xCommand, format as{"deviceId": "<id>", "arguments": { ... }}). - HTTP Response Codes: Check for specific error states (
409 Conflict,429 Too Many Requests).
- Required OAuth Scopes: Identify exact permission scopes required (e.g.,
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.
- 5d ago First seen · 232 lines · 53 tokens per session scan A 21470baa7526
webex-api-assistant is a skill published in the GitHub repository santime27/mcp-server-webex-docs (2 stars, last pushed 1mo ago), licensed MIT. It adds 53 tokens to every session and 2,402 once invoked, about $0.0003 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 2026-08-31.
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