boost-modules SKILL.md skillB
boost-modules from av/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add av/skills/boost-modules@git:20260123.eeaa581Pins git:20260123.eeaa581 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- B, 16 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- av/skills
- Path
boost-modules/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260123.eeaa581, committed Jan 23, 2026
- Size
- 6,100 bytes
- Repository stars
- 28
- License
- MIT
Create custom modules for [Harbor Boost](https://github.com/av/harbor/tree/main/boost), an optimizing LLM proxy. Use when building Python modules that intercept/transform LLM chat completions—reasoning chains, prompt injection, structured outputs, artifacts, or custom workflows. Triggers on requests to create Boost modules, extend LLM behavior via proxy, or implement chat completion middleware.
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
# Harbor Boost Custom Modules
Boost modules are Python files that intercept chat completions and can transform, augment, or replace LLM responses.
## Module Structure
```python
ID_PREFIX = 'mymodule' # Models prefixed with this trigger the module
async def apply(chat, llm):
# chat: conversation history (linked list of ChatNodes)
# llm: interface to downstream LLM and output streaming
await llm.stream_final_completion()
```
## Quick Reference
### Output Methods
```python
# Stream text to client
await llm.emit_message("Hello")
# Status indicator (formatted per HARBOR_BOOST_STATUS_STYLE)
await llm.emit_status("Processing...")
# Internal completion (not streamed to client)
result = await llm.chat_completion(prompt="Summarize: {text}", text=content, resolve=True)
# Streamed completion (visible to client)
await llm.stream_chat_completion(prompt="Explain {topic}", topic="quantum")
# Final completion (always streamed, even when intermediate output disabled)
await llm.stream_final_completion()
await llm.stream_final_completion(prompt="Reply to: {msg}", msg=chat.tail.content)
# Structured output
from pydantic import BaseModel, Field
class Response(BaseModel):
…Read the whole file at its exact version.
How to install
mdr add av/skills/boost-modules@sha256:6e250c499c639702The line at the top of this page pins the label git:20260123.eeaa581, 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_wg47wujlh4pd7pig)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jan 23, 2026.
Audit of the latest version
- fail: No link to a raw IP address (matched: http://172.17.0.1:11434)
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (6100 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
av/skills · 28 stars · license MIT · pushed 2026-10-21 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_wg47wujlh4pd7pig GET https://markdownregistry.com/api/v1/resolve?ref=av/skills/boost-modules GET https://markdownregistry.com/api/v1/blob/6e250c499c63970288de34cfa7d7e7694b9a85b807e31071cb029e84bfcee878
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.