mhl-serving

mhl-serving is a skill for Claude Code, Codex from mh-language/mhl-core-runtime. It costs 61 tokens per session (1,723 once invoked), scanned A, original, MIT.

Expose mhl workflows to other agents with mhl serve. Use for MCP tools, A2A skills, the mhlrun async tools, input and output contracts for callers, human-in-the-loop resume, --token and --state-dir hardening, and mhl pack.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Install with agentmods
npx agentmods add skills/mh-language/mhl-core-runtime/mhl-serving
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 mh-language/mhl-core-runtime --skill mhl-serving
Clone the repo
git clone --depth 1 https://github.com/mh-language/mhl-core-runtime

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 mhl-serving

README.md
[![agentmods](https://agentmods.dev/badge/skills/mh-language/mhl-core-runtime/mhl-serving/github.svg)](https://agentmods.dev/skills/mh-language/mhl-core-runtime/mhl-serving)
Your own site
<a href="https://agentmods.dev/skills/mh-language/mhl-core-runtime/mhl-serving"><img src="https://agentmods.dev/badge/skills/mh-language/mhl-core-runtime/mhl-serving/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 mhl-serving

Your own site · 80×15
<a href="https://agentmods.dev/skills/mh-language/mhl-core-runtime/mhl-serving"><img src="https://agentmods.dev/badge/skills/mh-language/mhl-core-runtime/mhl-serving.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,723 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00061 $0.01723
Opus 5.5 $0.00024 $0.00689
Sonnet 5.5 $0.00012 $0.00345
Haiku 4.5 $0.00006 $0.00172

Measured today against content hash f366592da142, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mhl-serving 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 today.

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.

skills/mhl-serving/SKILL.md · 156 lines

How it starts

The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.

mhl serving

Assumes the mhl-language and mhl-workflows skills. mhl serve turns a directory of .mh files into a server with no server code: each pipeline, workflow or alias becomes one MCP tool or A2A skill, published by the file that declares it. This skill is the server side. Calling someone else's server is extension mcp, covered in mhl-tools.

Design the workflow as an API

The declaration is the tool contract, so write it for the calling model:

enum Severity { low, high }

type TriageInput = { title: string, body: string, severity?: Severity }
type TriageOutput = { priority: string, reason: string }

tool Rules {
    priority(title: string): string -> if (title.contains("outage")) "urgent" else "normal"
}

// The description is all a calling model sees, so state what the tool does.
workflow TriageIssue(req: TriageInput): TriageOutput {
    description: "Classifies an incoming issue and explains the priority."

    var priority = "normal"

    step Classify {
        self.priority = Rules.priority(req.title)
    }

    output: {
        priority: priority
        reason: "matched on title: ${req.title}"
    }
}

test triage_issue {
    describe outage_is_urgent {
        var result = TriageIssue.run(inputs: {title: "api outage", body: "down"})
        are_equal(result.output.priority, "urgent")
    }
}
Declared Becomes
description: "..." tool description; otherwise a generic Runs the mhl workflow "X".
typed signature or input x: T inputSchema, unknown inputs rejected
x?: field, or input x: T = default optional in inputSchema
enum type "enum": [...] list, so callers see legal values
: Out result type outputSchema; a successful result is structuredContent checked against it
output: exactly the keys returned; without it, every var is returned

Then shape the surface:

  • Mark helpers internal workflow. Publish only what callers should invoke.
  • Use aliases to publish one flow as several narrow tools: workflow Delivery = ArtifactFlow with { level: Level.delivery } { description: "..." }.
  • Always declare output: on a served workflow. It keeps intermediate state, prompts and tokens out of responses.
  • A workflow imported by several files is published once, by its declaring file.

Read the full file on GitHub · 156 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.

  1. today First seen · 156 lines · 61 tokens per session scan A f366592da142

Subscribe to this mod's changes

mhl-serving is a skill published in the GitHub repository mh-language/mhl-core-runtime (9 stars, last pushed today), licensed MIT. It adds 61 tokens to every session and 1,723 once invoked, about $0.0002 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 2026-11-07.

Related

mhl-serving compared with skills from other repositories

mhl-serving next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
mhl-servingmh-language/mhl-core-runtimeSkill9todayMITA61Claude 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