blip-2-vision-language SKILL.md skillA

This file is byte-identical to the first copy the registry indexed, one of 3 indexed copies. Same content hash, so the same checks give both the same grade.

blip-2-vision-language from yichen-zju/claude-for-research is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add yichen-zju/claude-for-research/blip-2-vision-language@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
yichen-zju/claude-for-research
Path
claude/skills/blip-2/SKILL.md
Versions recorded
1
Latest version
v1.0.0, committed Oct 14, 2026
Size
18,616 bytes
Repository stars
10
License
none declared

Vision-language pre-training framework bridging frozen image encoders and LLMs. Use when you need image captioning, visual question answering, image-text retrieval, or multimodal chat with state-of-the-art zero-shot performance.

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

# BLIP-2: Vision-Language Pre-training

Comprehensive guide to using Salesforce's BLIP-2 for vision-language tasks with frozen image encoders and large language models.

## When to use BLIP-2

**Use BLIP-2 when:**
- Need high-quality image captioning with natural descriptions
- Building visual question answering (VQA) systems
- Require zero-shot image-text understanding without task-specific training
- Want to leverage LLM reasoning for visual tasks
- Building multimodal conversational AI
- Need image-text retrieval or matching

**Key features:**
- **Q-Former architecture**: Lightweight query transformer bridges vision and language
- **Frozen backbone efficiency**: No need to fine-tune large vision/language models
- **Multiple LLM backends**: OPT (2.7B, 6.7B) and FlanT5 (XL, XXL)
- **Zero-shot capabilities**: Strong performance without task-specific training
- **Efficient training**: Only trains Q-Former (~188M parameters)
- **State-of-the-art results**: Beats larger models on VQA benchmarks

**Use alternatives instead:**
- **LLaVA**: For instruction-following multimodal chat
- **InstructBLIP**: For improved instruction-following (BLIP-2 successor)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add yichen-zju/claude-for-research/blip-2-vision-language@sha256:38227abdcb742add

The line at the top of this page pins the label v1.0.0, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_zcyiiq3hvrfgg6g2.svg)](https://markdownregistry.com/a/art_zcyiiq3hvrfgg6g2)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Oct 14, 2026.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-10-14 9f2a5e0 18,616 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (18616 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

GitHub

yichen-zju/claude-for-research · 10 stars · license none declared · pushed 2026-10-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_zcyiiq3hvrfgg6g2
GET https://markdownregistry.com/api/v1/resolve?ref=yichen-zju/claude-for-research/blip-2-vision-language
GET https://markdownregistry.com/api/v1/blob/38227abdcb742add1284ba117881e899c020b7ebb5c39b5202a97d60c3ad8d3e

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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