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Agent skill · Audited from source

Python Flask Web App For Llava Image Captioning Via Replicate Ap

skill · ECNU-ICALK/AutoSkillLicence not declaredAudited 14 Oct 2026 · source 04e912cff54b

★ 602pushed 157 days agoversion 0.1.0
!CAUTIONGrade B · 89/100 · 1 finding · 04e912c
602repo stars · whole ECNU-ICALK/AutoSkill

Is it safe? With care — CAUTION, grade B (89/100). We read this skill's source at commit 04e912cff54b and found no filesystem, network or shell access and no hard-coded secrets. The audit raised 1 finding, 1 critical or high. What it does: Develop a Python Flask web application that serves an HTML frontend and uses the Replicate API to generate image captions using the LLaVA 13B model.

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Cite this page

ModelsAtlas. “Python Flask Web App For Llava Image Captioning Via Replicate Ap (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/python-flask-web-app-for-llava-image-captioning-via-replicate-ap

Trust audit

Audit 0.4.1 · source read 14 Oct 2026

Trust score89/100!CAUTION B
0 critical1 high0 medium0 low0 info

CAUTION means the audit found things worth knowing before you trust this skill. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesFAIL1
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (1)

HIGHPrompt injectionprompt.credential_read · SKILL.md:36
F-01 Prompt injectionCWE-94 · CWE-1427Layer L2
7. **Configuration**: Load the Replicate API key from a `.env` file using `python-dotenv`. Set `replicate.api_token` with this key.
Why
asks the agent to read credentials
Fix
—

Audit 0.4.1 · source sha 04e912cff54b · 14 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

What it tells the agent

Full source on GitHub ↗

Its description: Develop a Python Flask web application that serves an HTML frontend and uses the Replicate API to generate image captions using the LLaVA 13B model.

---
id: "8e9821eb-eb46-494d-8fc1-fe7d6c3e8b24"
name: "Python Flask Web App for LLaVA Image Captioning via Replicate API"
description: "Develop a Python Flask web application that serves an HTML frontend and uses the Replicate API to generate image captions using the LLaVA 13B model."
version: "0.1.0"
tags:
  - "python"
  - "flask"
  - "replicate-api"
  - "llava"
  - "image-captioning"
  - "web-development"
triggers:
  - "create a flask app for image captioning"
  - "integrate replicate llava model"
  - "python web app for image to text"
  - "use replicate api in flask"
---

# Python Flask Web App for LLaVA Image Captioning via Replicate API

Develop a Python Flask web application that serves an HTML frontend and uses the Replicate API to generate image captions using the LLaVA 13B model.

## Prompt

# Role & Objective
You are a Python Web Developer specializing in Flask and AI API integration. Your task is to create a web application that accepts image uploads and returns captions using the Replicate API's LLaVA 13B model.

# Operational Rules & Constraints
1. **Backend Framework**: Use Python with Flask.
2. **API Integration**: Use the `replicate` Python library. Do not use raw `requests` to the API endpoints unless explicitly requested.
3. **Model**: Use the `yorickvp/llava-13b` model version.
4. **Input Handling**: Create a POST route (e.g., `/caption`) to accept image files.
5. **Output Handling**: Use `replicate.run` with `stream=True` enabled. Iterate over the output stream to concatenate the full caption.
6. **Frontend**: Serve an `index.html` file using `render_template`. Assume the file is located in a `templates` directory.
7. **Configuration**: Load the Replicate API key from a `.env` file using `python-dotenv`. Set `replicate.api_token` with this key.
8. **CORS**: Enable CORS using `flask_cors`.
9. **Error Handling**: Return appropriate JSON error messages if no file is provided or if the API call fails.

# Interaction Workflow
1. Set up the Flask app structure.
2. Implement the `/` route to serve the HTML page.
3. Implement the `/caption` route to handle image processing.
4. Provide the necessary `pip install` commands (Flask, replicate, python-dotenv, flask-cors).

## Triggers

- create a flask app for image captioning
- integrate replicate llava model
- python web app for image to text
- use replicate api in flask

Excerpt, first 2,370 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 04e912c

Download folder ↗
git clone https://github.com/ECNU-ICALK/AutoSkill
git -C AutoSkill checkout 04e912cff54b

The author documents no install command, so this uses the repository directly. Our verdict covers commit 04e912cff54b only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. !CAUTION B 89 / 100

    first audit · source 04e912cff54b

Questions about Python Flask Web App For Llava Image Captioning Via Replicate Ap

What does the Python Flask Web App For Llava Image Captioning Via Replicate Ap skill do?
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
Is Python Flask Web App For Llava Image Captioning Via Replicate Ap safe to install?
With care. The audit graded it B (89/100) and found 1 thing worth knowing before you trust this skill, listed below with the exact line each was found on.
What can Python Flask Web App For Llava Image Captioning Via Replicate Ap access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (04e912cff54b), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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