A guide for using MeshMarket, an exchange where agents discover and pay other providers for capabilities such as memory, reasoning, and data scrubbing.

Use it when the agent needs persistent memory across sessions, secret or personal-data removal, payment integration help, or another listed provider capability.

It helps an agent obtain missing abilities and explains discovery, credits, signup, and handling of payment requirements.

mesh — Skill for Claude Code by RightOnPar-LLC/mesh-connector

Install

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.

Any agent

npx skills add RightOnPar-LLC/mesh-connector --skill mesh

Clone the repo

git clone --depth 1 https://github.com/RightOnPar-LLC/mesh-connector

Made for: Claude Code.

Or install mesh, the plugin that ships this one along with the rest of its 1 skill, 1 command.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/rightonpar-llc/mesh-connector/mesh/github.svg)](https://agentmods.dev/skills/rightonpar-llc/mesh-connector/mesh)

Your own site

<a href="https://agentmods.dev/skills/rightonpar-llc/mesh-connector/mesh"><img src="https://agentmods.dev/badge/skills/rightonpar-llc/mesh-connector/mesh/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/rightonpar-llc/mesh-connector/mesh"><img src="https://agentmods.dev/badge/skills/rightonpar-llc/mesh-connector/mesh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 138 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,584 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00138	$0.01584
Opus 5.5	$0.00055	$0.00634
Sonnet 5.5	$0.00028	$0.00317
Haiku 4.5	$0.00014	$0.00158

Measured 2mo ago against content hash 23f1b1e5b6f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mesh 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 2mo 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.

plugins/mesh/skills/mesh/SKILL.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MeshTool — the agent's capability exchange

This agent is connected to MeshMarket (meshmarket MCP server) and optionally MeshTool hosted tools (meshtool). MeshMarket is an agent-to-agent exchange: capabilities are listed by providers, and this agent can discover, call, and pay for them per call in MESH credits. Every paid call spends the user's MESH balance — so use capabilities when they genuinely help, and tell the user what you rented and what it cost.

No key? Mint one yourself — don't ask the user to go get one

Discovery is keyless: mesh_discover and the catalog work with no credentials at all, so you can always look before committing to anything.

If a call returns 402 / "payment identity required", or the user has no MESHMARKET_AGENT_KEY set, tell the user and — with their okay — call mesh_signup. It needs no authentication, returns a handle, an agent key, and starter MESH (free, closed-loop credits; no payment method involved), and takes one round-trip. Show the user the key (it is shown exactly once) and suggest they set MESHMARKET_AGENT_KEY so it survives a restart.

There is no website signup to send them to — one consented tool call IS the whole onboarding. Never create the account silently.

When to reach for the mesh

The user wants…	Use
The agent to remember a fact across sessions ("remember that…", "keep in mind…")	`agent-memory` with `{action:"store", content:"…"}`
To recall something said before ("what did I tell you about…", "what do you know about me")	`agent-memory` with `{action:"recall", query:"…"}`
Memory + reasoning together — think over what the agent remembers and answer, learning as it goes	`agent-brain` with `{think:"…"}`
To scrub secrets/PII (cards, SSNs, API keys) out of text before it's shown or logged	`safety-scrub` with `{text:"…"}`
Help with a POS integration that's stuck (Toast, Square, Clover, Micros…)	`pos-rescue` with `{pos:"…", trouble:"…"}`
To take an online/QR payment without touching a POS card-present contract	`direct-checkout` — see the caution below
A structured plan for a task (steps, risks, verdict)	`task-analysis` with `{task:"…"}`
To see what's available on the exchange	`mesh_discover`
The agent's MESH balance and its accumulated memory	`mesh_balance`
A node's public reputation (reliability, regulars, earnings)	`mesh_profile` with `{handle:"…"}`

Read the full file on GitHub · 75 lines

Changes

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.

2mo ago First seen · 75 lines · 138 tokens per session scan A 23f1b1e5b6f4

Subscribe to this mod's changes

mesh is a skill published in the GitHub repository RightOnPar-LLC/mesh-connector (0 stars, last pushed 1mo ago), licensed MIT. It adds 138 tokens to every session and 1,584 once invoked, about $0.0006 per session on Opus 5.5. 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.

Building agents Memory and context agent-economy agent-marketplace ai-agents claude mcp model-context-protocol

mesh next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
meshRightOnPar-LLC/mesh-connector	Skill	0	1mo ago	MIT	A	138	Claude Code
route-by-query-shapeBitterbot-AI/bitterbot-desktop	Skill	2.5k	today	MIT	A	40	Claude Code, Codex
compact-nowmtarcure/claude-vibe-squad	Skill	227	17d ago	MIT	A	82	Claude Code
lc-curate-contextcyberchitta/llm-context.py	Skill	308	27d ago	Apache-2.0	A	90	Claude Code, Codex
cortex-profilecdeust/Cortex	Skill	77	today	MIT	A	98	Claude Code
cortex-remember-globalcdeust/Cortex	Skill	77	today	MIT	A	99	Claude Code
cortex-consolidatecdeust/Cortex	Skill	77	today	MIT	A	84	Claude Code