abstractcore SKILL.md skillB
abstractcore from lpalbou/abstractcore is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add lpalbou/abstractcore/abstractcore@git:20261103.cac8527Pins git:20261103.cac8527 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- B, 16 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- lpalbou/abstractcore
- Path
skills/abstractcore/SKILL.md- Versions recorded
- 6
- Latest version
- git:20261103.cac8527, committed Nov 3, 2026
- First version recorded
- Oct 27, 2026
- Size
- 17,443 bytes
- Repository stars
- 11
- License
- MIT
Write Python integrations and operate AbstractCore through create_llm, generate/agenerate, sessions, host-controlled tool loops, structured output, media, embeddings, the abstractcore CLI, and OpenAI-compatible HTTP serving. Use when choosing providers and exact model artifacts, configuring endpoints, downloading local models, diagnosing generation failures, or piloting an AbstractCore installation.
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
# AbstractCore ## Purpose and limits Use AbstractCore as a provider layer for Python applications and OpenAI-compatible clients. Write integrations against `create_llm`, then choose an explicit provider, model and endpoint. It supplies generation, tools, typed output, sessions, media and model management; your host owns the execution loop, permissions and durable state. Use AbstractRuntime for durable agent orchestration; assemble retrieval yourself rather than expecting a complete RAG pipeline. ## Install and verify Choose exactly one setting: `python -m pip install abstractcore` for remote inference, tools, media inputs, HTTP serving and remote capability plugins; `"abstractcore[apple]"` adds Apple silicon local engines; `"abstractcore[gpu]"` adds NVIDIA/AMD local engines. These commands install the published version. For a checkout containing this skill's version, install its source: ```bash python -m pip install -e . # run at the AbstractCore repository root # For local engines instead: python -m pip install -e ".[apple]" or -e ".[gpu]" ``` Check imports and print both code and distribution versions without contacting a provider: ```python …
Read the whole file at its exact version.
How to install
mdr add lpalbou/abstractcore/abstractcore@sha256:5386de6ee355fb26The line at the top of this page pins the label git:20261103.cac8527, 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_u4sbme3imohn7qkd)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Oct 27, 2026 and Nov 3, 2026, about one every day.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261103.cac8527 latest | 2026-11-03 | cac8527 | 17,443 B | B | view · diff |
| git:20261102.d6828f5 | 2026-11-02 | d6828f5 | 17,443 B | B | view · diff |
| git:20261101.026ed60 | 2026-11-01 | 026ed60 | 17,059 B | B | view · diff |
| git:20261029.df1f3bc | 2026-10-29 | df1f3bc | 15,994 B | B | view · diff |
| git:20261028.5ba1357 | 2026-10-28 | 5ba1357 | 15,146 B | B | view · diff |
| git:20261027.84f5ce5 | 2026-10-27 | 84f5ce5 | 15,146 B | B | view |
Audit of the latest version
- fail: No link to a raw IP address (matched: http://127.0.0.1:11434)
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (17443 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
lpalbou/abstractcore · 11 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_u4sbme3imohn7qkd GET https://markdownregistry.com/api/v1/resolve?ref=lpalbou/abstractcore/abstractcore GET https://markdownregistry.com/api/v1/blob/5386de6ee355fb269946579e6677223bf880523a521a78598dfe3b7b52d0d548
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.