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dualregistry-mesh-compose

dualregistry-mesh-compose is a skill for Claude Code, Codex from manhatton31-svg/dualregistry. It costs 33 tokens per session (945 once invoked), scanned A, original, no licence file.

A network-composition workflow that connects a need with matching resources, combines them, runs the combination, and records the result. It can also record endorsements or reuse.

In plain words
What is it for?
Use it to match needs to resources, compose and execute network combinations, deposit outcomes, and optionally record endorsements or reuse.
Why use it?
It organizes the steps needed to find and combine network resources, then preserve what happened.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

not rated 0repo today A scan 33 tokens no licence

Good fit Use it to match needs to resources, compose and execute network combinations, deposit outcomes, and optionally record endorsements or reuse.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/manhatton31-svg/dualregistry/dualregistry-mesh-compose
View source ↗ manhatton31-svg/dualregistry dualregistry.vercel.app
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 manhatton31-svg/dualregistry --skill dualregistry-mesh-compose
Clone the repo
git clone --depth 1 https://github.com/manhatton31-svg/dualregistry

Made for: Claude Code, Codex.

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.

agentmods badge for dualregistry-mesh-compose

README.md
[![agentmods](https://agentmods.dev/badge/skills/manhatton31-svg/dualregistry/dualregistry-mesh-compose/github.svg)](https://agentmods.dev/skills/manhatton31-svg/dualregistry/dualregistry-mesh-compose)
Your own site
<a href="https://agentmods.dev/skills/manhatton31-svg/dualregistry/dualregistry-mesh-compose"><img src="https://agentmods.dev/badge/skills/manhatton31-svg/dualregistry/dualregistry-mesh-compose/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.

agentmods 80×15 button for dualregistry-mesh-compose

Your own site · 80×15
<a href="https://agentmods.dev/skills/manhatton31-svg/dualregistry/dualregistry-mesh-compose"><img src="https://agentmods.dev/badge/skills/manhatton31-svg/dualregistry/dualregistry-mesh-compose.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 945 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00033 $0.00945
Opus 5.5 $0.00013 $0.00378
Sonnet 5.5 $0.00007 $0.00189
Haiku 4.5 $0.00003 $0.00094

Measured 2mo ago against content hash 800a96b9ef51, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dualregistry-mesh-compose scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -sS -X POST https://www.dualregistry.dev/api/mcp \
skills/dualregistry-mesh-compose/SKILL.md · 79 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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.

  1. 2mo ago First seen · 79 lines · 33 tokens per session scan A 800a96b9ef51

Subscribe to this mod's changes

dualregistry-mesh-compose is a skill published in the GitHub repository manhatton31-svg/dualregistry (0 stars, last pushed today), with no licence file. It adds 33 tokens to every session and 945 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Building agents
Related

dualregistry-mesh-compose compared with skills from other repositories

dualregistry-mesh-compose next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
dualregistry-mesh-composemanhatton31-svg/dualregistrySkill0todaynoneA33Claude Code, Codex
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code