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 F0rty-Tw0/agentic-mcp --skill using-agentic-mcpgit clone --depth 1 https://github.com/F0rty-Tw0/agentic-mcpWrote 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/f0rty-tw0/agentic-mcp/using-agentic-mcp)<a href="https://agentmods.dev/skills/f0rty-tw0/agentic-mcp/using-agentic-mcp"><img src="https://agentmods.dev/badge/skills/f0rty-tw0/agentic-mcp/using-agentic-mcp.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 | $0.00040 | $0.01223 |
| Opus 5 | $0.00020 | $0.00611 |
| Sonnet 5 | $0.00008 | $0.00245 |
| Haiku 4.5 | $0.00004 | $0.00122 |
Grade A, and why
using-agentic-mcp 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 7d 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Using agentic-mcp
Overview
Use this skill when the goal is a working outcome: get a real answer from the provider already installed on the machine, compare multiple providers on one prompt, or configure one MCP client entry instead of wiring providers separately. Start by discovering providers, prove one provider works with ask_<provider>, then use ask_all only for deliberate comparison.
When to Use
- You need to get to a first successful provider answer through
agentic-mcp. - You need to compare multiple providers on the same prompt without bespoke glue.
- You need one repeatable workflow for MCP tools and CLI fallback.
Do not use this for general skill authoring. Use skills-writing for that.
Core Workflow
- If the environment supports skills, load its "using skills" guidance first.
- Run minimal onboarding first:
npx agentic-mcp init
- Discover what is detected:
list_providersping_<provider>only when you need a limited proof checkhelp_<provider>only when you need capabilities or CLI details
- Prove real usage before claiming readiness:
- use
provefor the fastest first real answer - use
ask_<provider>for focused single-provider work after the first proof
- use
- Configure MCP client integration only after the first proof when you need it:
npx agentic-mcp setup --client claude-code --yes
- Compare providers deliberately:
- use
ask_allonly when comparison itself is the goal
- use
- If MCP calls are unavailable, use CLI with the same sequence.
- Report configured files, detected providers, what remains unproven, and whether a real ask succeeded.
Prompt Templates
Setup Prompt
Set up agentic-mcp for me end-to-end and do not stop early.
Execution requirements:
1) If your environment supports skills, load the equivalent of a "using skills" workflow first.
2) Run minimal onboarding first with: npx agentic-mcp init
3) Discover providers with: list_providers
4) Run ping_claude only if you need a limited proof check.
5) Prove real usage first with: npx agentic-mcp prove claude
6) If Claude Code setup is part of the goal, then configure MCP client integration with: npx agentic-mcp setup --client claude-code --yes
7) After setup, get a focused real answer with: ask_claude "Reply with OK and your provider name."
8) Use help_claude only if you need capabilities or CLI details.
9) If any check fails, fix root cause and rerun checks.
10) Return a concise report with configured files, detected providers, what remains unproven, and whether the real ask succeeded.
11) Ask if any other providers should be set up too; if yes, configure and verify them the same way.
What ships with it
1 file 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.
- 7d ago First seen · 112 lines · 40 tokens per session scan A 6662f76d2939
using-agentic-mcp is a skill published in the GitHub repository F0rty-Tw0/agentic-mcp (2 stars, last pushed 3mo ago), licensed MIT. It adds 40 tokens to every session and 1,223 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 2026-08-31.
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