using-model-endpoint SKILL.md skillA
using-model-endpoint 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/using-model-endpoint@git:20260715.38d79bePins git:20260715.38d79be in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- pengqianhan/ai-human-research-os
- Path
research-skills-hub/claude-science-skills/skills/using-model-endpoint/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260715.38d79be, committed Jul 15, 2026
- Size
- 1,754 bytes
- Repository stars
- 3
- License
- MIT
Call a registered model endpoint over its native HTTP API from the endpoint's scoped inference kernel (BASE_URL preloaded). Load once a task needs predictions from a registered model endpoint.
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
You are a **pure HTTP client of `BASE_URL`**. Each registered model endpoint
gets its own inference kernel — a Python REPL whose network egress is scoped
to exactly that endpoint — reached via
`compute_provider({'provider': '<slug>', 'code': '…'})` (`<slug>` from
`list_compute`, without the `infer:` prefix).
- `BASE_URL` is preloaded (as a Python variable AND as
`os.environ["BASE_URL"]`) — build request URLs from it, never hardcode
hosts/ports. Call the model's **native API** with `httpx` (preinstalled)
or `requests`; request shapes live in the provider's own runbook skill
(the registration's `skillName`).
- Hosted endpoints: send `Authorization: Bearer $INFER_API_KEY` (always the
canonical env name when a credential is delivered; the credential's own
name is usually aliased too). Local endpoints need no auth header.
- Requests ride the sandbox HTTP proxy (`HTTP_PROXY`/`HTTPS_PROXY` are set) —
don't disable it (e.g. `trust_env=False`) or the endpoint is unreachable.
- No job lifecycle here (no submit/harvest) — direct request/response only.
**Managed endpoints** (entries with `managed: true` / a `location` field in
…Read the whole file at its exact version.
How to install
mdr add pengqianhan/ai-human-research-os/using-model-endpoint@sha256:2ee613c4530f85e2The 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_xpqwe2wl7coeuakb)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 15, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (1754 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 link to a raw IP address
- pass: No script tag
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_xpqwe2wl7coeuakb GET https://markdownregistry.com/api/v1/resolve?ref=pengqianhan/ai-human-research-os/using-model-endpoint GET https://markdownregistry.com/api/v1/blob/2ee613c4530f85e21db322b4e15d510a1800c228dee4c010a2849e55f852af00
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.