managed-model-endpoints SKILL.md skillB
managed-model-endpoints from pengqianhan/ai-human-research-os is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add pengqianhan/ai-human-research-os/managed-model-endpoints@git:20260715.38d79bePins git:20260715.38d79be in mdr.lock. Pin the fingerprint instead.
- Audit grade
- B, 16 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- pengqianhan/ai-human-research-os
- Path
research-skills-hub/claude-science-skills/skills/managed-model-endpoints/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260715.38d79be, committed Jul 15, 2026
- Size
- 10,718 bytes
- Repository stars
- 3
- License
- MIT
Register a model service in the managed family — a local model server container the daemon starts/stops on demand, or a remote upstream model API (https). Read the runbook, allocate a port (local only), compose idempotent start/stop scripts (local only), register once. Load when the user wants a model service available for inference, or when list_compute shows managed endpoints.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Managed model endpoints A **managed model endpoint** is a model service the **daemon** owns: you register it **once**, then every `compute_provider` cell against it just works — the daemon swaps the resident model off the device (one model at a time, via the resident's own approved stop), runs your approved start script, waits for the readiness route, then runs your cell, streaming its lifecycle progress into the cell as it goes. You never run the container runtime yourself, never poll readiness in cells, and never see the credential value. Two verbs: `register()` (asks the user once) and ordinary inference cells. Container specifics — image, registry login, internal port, cache mount target, readiness route — come from the **model's own runbook skill**; this skill is the translation contract. ## Calling a registered endpoint — inference cells Calling a registered endpoint — use the `using-model-endpoint` skill (this skill is the REGISTRATION contract; that one documents the call side in full). The ONLY dispatch form is the `compute_provider` tool with the endpoint's registered name (`list_compute` shows them): ``` compute_provider(provider="boltz2-service", code=""" …
Read the whole file at its exact version.
How to install
mdr add pengqianhan/ai-human-research-os/managed-model-endpoints@sha256:48cb2bf810b3c54dThe line at the top of this page pins the label git:20260715.38d79be, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_5dj72ykrx4nqg7f2)
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Versions
The registry has recorded 1 version of this file, committed on Jul 15, 2026.
Audit of the latest version
- fail: No link to a raw IP address (matched: http://127.0.0.1)
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (10718 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No script tag
Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.
Source
pengqianhan/ai-human-research-os · 3 stars · license MIT · pushed 2026-10-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_5dj72ykrx4nqg7f2 GET https://markdownregistry.com/api/v1/resolve?ref=pengqianhan/ai-human-research-os/managed-model-endpoints GET https://markdownregistry.com/api/v1/blob/48cb2bf810b3c54d43ab8384effe019c725e1faf14161464eb8fabf7e8d8d47a
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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