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Agent skill

Image Analysis

by bionic-gpt in bionic-gpt/bionic-gpt

Use image evidence to produce domain-aware answers that distinguish observations and uncertainty.

Apache-2.0Auto-check passed

Install Image Analysis

skills CLI
$ npx skills add bionic-gpt/bionic-gpt --skill image-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install bionic-gpt/bionic-gpt image-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/bionic-gpt/bionic-gpt.git skills-src && mkdir -p .claude/skills && cp -r skills-src/crates/builtin-skills/skills/image-analysis .claude/skills/image-analysis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
image-analysis
GitHub stars
2.4k
Token cost
~256 tokens
SKILL.md length
124 words
Files
1
Skills in repo
21
Repo updated
First seen
Licence
Apache-2.0

At a glance

Use image evidence to produce domain-aware answers that distinguish observations and uncertainty.

  • Works in 5 steps: Identify the relevant image in… → List /home/user/skills, read the… → Send the image reference and a short… → …
  • SKILL.md covers Workflow and Evidence discipline
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Image Analysis is an agent skill from bionic-gpt/bionic-gpt. Use image evidence to produce domain-aware answers that distinguish observations and uncertainty.

Its SKILL.md is about 260 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Bionic is sovereign Agentic AI for the enterprise — Runs on-premise and can securely work with your sensitive data and systems. The licence is Apache-2.0.

Example prompts

  • “/image-analysis”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Identify the relevant image in /home/user/attachments.
  2. List /home/user/skills, read the relevant connector's SKILL.md, and inspect the referenced operation file when exact arguments are needed.
  3. Send the image reference and a short task describing what needs to be extracted or assessed.
  4. Treat the returned analysis as evidence, not as the final answer.
  5. Write a useful answer for the user's domain and task.

What it can do on your machine

Read from SKILL.md and the folder at commit c155c00. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Image Analysis loads about 256 tokens when it runs. Until then it costs about 28 tokens; SKILL.md has 124 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~28
When it runs · the whole SKILL.md, loaded when a task matches
~256

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from bionic-gpt/bionic-gpt at commit c155c00, republished under its Apache-2.0 licence (© bionic-gpt). 124 words, ~256 tokens.

Download SKILL.mdSave it as .claude/skills/image-analysis/SKILL.md (or your agent's skills folder).
name
image-analysis
description
Use image evidence to produce domain-aware answers that distinguish observations and uncertainty.

Image Analysis

Use this skill when the user's task depends on information contained in an uploaded image, photograph, diagram, screenshot, equipment image, or rendered document.

Workflow

  1. Identify the relevant image in /home/user/attachments.
  2. List /home/user/skills, read the relevant connector's SKILL.md, and inspect the referenced operation file when exact arguments are needed.
  3. Send the image reference and a short task describing what needs to be extracted or assessed.
  4. Treat the returned analysis as evidence, not as the final answer.
  5. Write a useful answer for the user's domain and task.

Evidence discipline

Separate the answer into directly observed details, uncertain interpretations, and recommended follow-up checks. Never invent text, measurements, labels, equipment states, defects, or diagnoses that are not supported by the analysis.

© bionic-gpt, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in crates/builtin-skills/skills/image-analysis of bionic-gpt/bionic-gpt.

Open the folder on GitHubat commit c155c00

Compare with similar skills

Image Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Image Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Image Analysis this skillbionic-gpt/bionic-gpt2.4k—~256Automated safety check: PassApache-2.0
Codebase Domain Flow ExtractorEgonex-AI/Understand-Anything86k1 repos~2.4kAutomated safety check: PassMIT
Sitemap Domainthedaviddias/Front-End-Checklist74k—~531Automated safety check: PassMIT
Domain Driven Designdavila7/claude-code-templates32k5 repos~623Automated safety check: PassMIT
Domain Modeling and Glossarywindmill-labs/windmill18k—~622Automated safety check: PassCustom licence
Instance Awarenessn8n-io/n8n207k—~1.4kAutomated safety check: PassCustom licence

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Questions about Image Analysis

What does Image Analysis do?

Use image evidence to produce domain-aware answers that distinguish observations and uncertainty. Image Analysis is an agent skill from bionic-gpt/bionic-gpt. Use image evidence to produce domain-aware answers that distinguish observations and uncertainty.

How do I install Image Analysis in Claude Code?

Run `npx skills add bionic-gpt/bionic-gpt --skill image-analysis -a claude-code`. Or copy the skill folder (crates/builtin-skills/skills/image-analysis in bionic-gpt/bionic-gpt) into .claude/skills/image-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Image Analysis in Codex?

Run `npx skills add bionic-gpt/bionic-gpt --skill image-analysis -a codex`. Or copy the skill folder (crates/builtin-skills/skills/image-analysis in bionic-gpt/bionic-gpt) into .agents/skills/image-analysis in your project. Codex loads it when a task matches its description.

Can I use Image Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add bionic-gpt/bionic-gpt --skill image-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/image-analysis, .gemini/skills/image-analysis, .github/skills/image-analysis and .opencode/skills/image-analysis in your project.

What does Image Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Image Analysis is instructions for the agent only.

Does Image Analysis access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Image Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Image Analysis use?

Image Analysis is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Image Analysis use?

About 256 tokens (SKILL.md is roughly 1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Image Analysis?

Skills that share tags, products or a category with Image Analysis: Codebase Domain Flow Extractor (Egonex-AI/Understand-Anything, 86k stars), Sitemap Domain (thedaviddias/Front-End-Checklist, 74k stars), Domain Driven Design (davila7/claude-code-templates, 32k stars) and Domain Modeling and Glossary (windmill-labs/windmill, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Image Analysis?

bionic-gpt (a GitHub organization) maintains it in bionic-gpt/bionic-gpt, which has 2,383 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on October 7, 2026.

Source: bionic-gpt/bionic-gpt on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.