BNB Chain MCP Server
internet-court/internet-court-skill
Connects an agent to the BNB Chain MCP server to read blocks and contracts, move tokens and NFTs, register ERC-8004 agents and use Greenfield storage.
A skill your agent uses when one image must be composed from several reference pictures through the Scenario MCP server, each lending one thing: the character from one, the place, pose, style…
$ npx skills add scenario-labs/skills --skill scenario-multi-reference -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install scenario-labs/skills scenario-multi-reference --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/scenario-multi-reference .claude/skills/scenario-multi-reference && rm -rf skills-srcUse ~/.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/
Install the "scenario-multi-reference" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-multi-reference into .claude/skills/scenario-multi-reference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-multi-reference", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/scenario-labs/skills/tree/main/skills/scenario-multi-referenceType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add scenario-labs/skills --skill scenario-multi-reference -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install scenario-labs/skills scenario-multi-reference --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/scenario-multi-reference .agents/skills/scenario-multi-reference && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scenario-multi-reference" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-multi-reference into .agents/skills/scenario-multi-reference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-multi-reference", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add scenario-labs/skills --skill scenario-multi-reference -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install scenario-labs/skills scenario-multi-reference --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/scenario-multi-reference .cursor/skills/scenario-multi-reference && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "scenario-multi-reference" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-multi-reference into .cursor/skills/scenario-multi-reference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-multi-reference", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/scenario-labs/skills.git --path skills/scenario-multi-reference--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add scenario-labs/skills --skill scenario-multi-reference -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install scenario-labs/skills scenario-multi-reference --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/scenario-multi-reference .gemini/skills/scenario-multi-reference && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "scenario-multi-reference" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-multi-reference into .gemini/skills/scenario-multi-reference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-multi-reference", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install scenario-labs/skills scenario-multi-referenceInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add scenario-labs/skills --skill scenario-multi-reference -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/scenario-multi-reference .github/skills/scenario-multi-reference && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "scenario-multi-reference" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-multi-reference into .github/skills/scenario-multi-reference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-multi-reference", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add scenario-labs/skills --skill scenario-multi-reference -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install scenario-labs/skills scenario-multi-reference --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/scenario-multi-reference .opencode/skills/scenario-multi-reference && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "scenario-multi-reference" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-multi-reference into .opencode/skills/scenario-multi-reference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-multi-reference", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
scenario-multi-referenceA skill your agent uses when one image must be composed from several reference pictures through the Scenario MCP server, each lending one thing: the character from one, the place, pose, style…
Scenario Multi Reference is an agent skill from scenario-labs/skills. Use when one image must be composed from several reference pictures through the Scenario MCP server, each lending one thing: the character from one, the place, pose, style, light, palette, material, outfit, or layout from others. Also when a reference leaks into the result (its object, colors, or face showing where it should not) or a reference's role is ignored. Keywords: multi-reference, reference roles, combine references, style reference, pose reference, give each picture a job.
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `README.md` and `references/prompt-patterns.md`).
It sits in Agent Workflows, covering Banking and insurance. It works with Model Context Protocol. The repository describes itself as: Get production-ready images, video, audio, and 3D from any AI agent: skills that pick the right model, price before spending, and keep characters and brands consistent through… The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit f6f8ab7. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
npxFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Scenario Multi Reference loads about 2.6k tokens when it runs, and up to ~5.5k if it reads all its reference files. Until then it costs about 128 tokens; SKILL.md has 1,261 words of instructions outside code blocks.
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.
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.
The full file from scenario-labs/skills at commit f6f8ab7, republished under its MIT licence (© scenario-labs). 1,261 words, ~2,625 tokens.
.claude/skills/scenario-multi-reference/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.A reference image lends everything it shows unless the prompt says otherwise: hand a model a raccoon chef as a style reference and the raccoon walks into the scene. The fix is to give each picture exactly one job, then say, for every picture, what not to take from it. Four or five pictures, one idea each (a drawing, a photo, a mannequin, a film still, a color swatch), compose into one image that keeps each contribution and nothing else. Connection and the generation loop: see the scenario skill. Per-family reference caps and syntax: scenario-image lists the image model-family skills. One subject held across many images: scenario-consistency. Animating the result: scenario-video. Refusals: scenario-moderation. If a sibling skill named here is missing from your available skills, ask the user to install it (npx skills add scenario-labs/skills --skill <name>); unattended, proceed from tool schemas and flag the gap.
| Job | The picture lends | Typical "not" line |
|---|---|---|
| Main subject (WHO) | the character, product | "Use only the idea of a gecko. Do not copy the photo's colors." |
| Stage (WHERE) | the place | "redrawn as woodblock architecture" when the medium differs |
| Pose | the body pose | "Do not show the mannequin or any wood." |
| Angle | the camera | "Do not include the lighthouse." |
| Style | medium, render, texture | "Do not include the raccoon, the kitchen, the apron or the pot." |
| Light | the light only | "Do not include the flowers or vase." |
| Palette | the only allowed colors | "No green anywhere." |
| Material | a surface | "Do not show any fish, fins or water." |
| Expression | the mood of a face | "No human skin, no nose, no ears, no hair." |
| Wear | clothing or armor | "The cat's own face stays visible; no human face mask." |
| Inspiration | a design idea, not the thing | "a gown designed from this jellyfish. Do not show a jellyfish." |
| Layout | grid and composition | "Do not copy the word MONDAY." |
The prompt, one line per picture (the kept prompts wrote Main subject and Stage as WHO and WHERE):
<One sentence naming the medium.> Each reference picture has exactly one job:
Image N (<what it shows>) = <JOB> only. <What it lends, concretely.> Do not <what to leave out>.
...
<Framing: shot size, placement, mood, text rules.>scenario-consistency.scenario-text-overlay.Cards: a child's crayon monster (Main subject), a backyard photo (Stage), a wooden mannequin leaping (Pose), a 3D animated film still of a raccoon chef (Style).
upload_asset each card, then upload_asset_complete (see scenario). Keep the asset ids in the order you will number them.recommend with capability="img2img", features=["referenceImages"] (keeps only members exposing that exact field; drop it to see members that name the slot differently), and the user's own words as prompt. Handle next_step as scenario directs.model_schema_get on the pick. Read: the reference field's cap (four or five cards fit the leading members at authoring time, up to ten on some), array: true, how the description says the prompt addresses references (by order as "Image 1", or by tags such as @Image1 on some families), the sizing family, and the quality tier. When the schema offers a dedicated slot for a job (a style-reference field, a pose control), put that card there instead of in the reference array (scenario-consistency), and read the field description for how the prompt refers to it, since prompt numbering follows the array.model_run with dry_run=true (top-level, beside model_id, never inside parameters) and the schema's own names, for example parameters={"prompt": "<below>", "referenceImages": ["asset_monster", "asset_yard", "asset_mannequin", "asset_raccoon"], "quality": "high"} plus its sizing fields. Quote the user the total, any cards still to generate and the film included when one is wanted (a dry run rejects a payload missing its required image, so price against any uploaded picture, a small stand-in when no card exists yet), and run nothing paid until they agree (unattended, launch only inside a budget the task states; otherwise stop and report the quote). Then the same call with wait=false, jobs_wait, and asset_display.A still frame from a 3D animated family feature film. Each reference picture has exactly one job:
Image 1 (child's crayon drawing) = WHO. Turn this crayon monster into a soft, plush 3D animated character: round purple body, three uneven eyes, spiky green hair, tiny orange legs, big toothy smile. Keep its lopsided, hand-drawn charm.
Image 2 (backyard photo) = WHERE. Use this exact backyard: lawn, wooden fence, red hose, blue kiddie pool, swing set, lemon tree.
Image 3 (wooden mannequin) = POSE only. The monster leaps mid-air with both arms thrown up and one knee raised, exactly like the mannequin. Do not show the mannequin or any wood.
Image 4 (raccoon chef frame) = STYLE only. Copy its 3D render look, soft materials, warm bounce light and rich color. Do not include the raccoon, the kitchen, the apron or the pot.
Wide shot, the monster in the center above the lawn, afternoon sun, joyful.scenario-video as the first frame. The film prompt carries no jobs, only motion, camera, and sound: the frame already holds every job.Seven more kept prompts across claymation, product ad, woodblock print, fashion editorial, pixel art, tilt-shift miniature, and risograph poster, each with its film prompt: references/prompt-patterns.md.
For each picture, ask two questions: is its job visible, and is anything else from it visible?
Before rewriting a line for an ignored job, asset_get the output: metadata.referenceImages lists what the run consumed, and a reference sent as a bare string where the schema says array: true was dropped silently, so no wording brings its job back.
recommend, read caps off model_schema_get, price with dry_run=true.© scenario-labs, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in skills/scenario-multi-reference of scenario-labs/skills.
Open the folder on GitHubat commit f6f8ab7
Scenario Multi Reference 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Scenario Multi Reference this skillscenario-labs/skills | 946 | — | ~2.6k | Automated safety check: Pass | MIT | |
| BNB Chain MCP Serverinternet-court/internet-court-skill | 6.6k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Dd Report FormatAbilityai/trinity | 636 | — | ~707 | Automated safety check: Pass | Apache-2.0 | |
| Banknoskillish/bankmcp | 277 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Dd Risk ScoringAbilityai/trinity | 636 | — | ~736 | Automated safety check: Pass | Apache-2.0 | |
| Skill Design Referencelow-hands/MyCareer | 108 | — | ~2.3k | Automated safety check: Pass | MIT |
internet-court/internet-court-skill
Connects an agent to the BNB Chain MCP server to read blocks and contracts, move tokens and NFTs, register ERC-8004 agents and use Greenfield storage.
Abilityai/trinity
Standard output format for due diligence analysis reports. An agent skill from Abilityai/trinity.
noskillish/bankmcp
Answer questions about the user's own bank accounts and money using the bank MCP tools (listaccounts, getbalances, gettransactions, watches).
Abilityai/trinity
Calculate weighted risk scores from specialist agent reports.
low-hands/MyCareer
A skill your agent uses when creating or reviewing a Skill package for this Career Agent, including its SKILL.md, progressive disclosure, tool workflow, MCP coordination, subagent boundaries…
noskillish/bankmcp
Set up BankMCP™ on this machine step by step: check Node, register the local MCP server, walk through the Enable Banking application, finish the setup page and connect the first bank.
scenario-labs/skills
A skill your agent uses when drawing or animating with Grease Pencil in Blender 5.x from Python: 2D or 2.5D illustration, frame-by-frame animation, a cutout or part-based 2D character, strokes with…
scenario-labs/skills
A skill your agent uses when grooming hair or fur in Blender with hair curves, such as a character hairstyle, animal fur, procedural fur in geometry nodes, or hair cards and mesh hair for games.
scenario-labs/skills
A skill your agent uses when lighting, rendering or compositing in Blender: light a character, product or hero shot, interior at dusk or night, three-point or motivated lighting, sun and sky, HDRI…
scenario-labs/skills
A skill your agent uses when creating a ChatGPT pet or Codex pet with Scenario: hatching an animated companion from a text idea, a character, mascot or brand cue, or reference photos and art; making…
scenario-labs/skills
A skill your agent uses when animating characters or scenes in Godot 4.7: AnimationPlayer clips and RESET, AnimationTree state machines and blend spaces built in code, Mixamo or glTF import, loop…
scenario-labs/skills
A skill your agent uses when adding or fixing sound in Godot 4.7: audio buses and effects, volume sliders, 'too many sounds', combat audio with hundreds of enemies, sounds clipping or distorting, 3D…
Works with
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A skill your agent uses when one image must be composed from several reference pictures through the Scenario MCP server, each lending one thing: the character from one, the place, pose, style…. Scenario Multi Reference is an agent skill from scenario-labs/skills. Use when one image must be composed from several reference pictures through the Scenario MCP server, each lending one thing: the character from one, the place, pose, style, light, palette, material, outfit, or layout from others.
Scenario Multi Reference fits situations like: one image must be composed from several reference pictures through the Scenario MCP server; each lending one thing: the character from one; layout from others.
Run `npx skills add scenario-labs/skills --skill scenario-multi-reference -a claude-code`. Or copy the skill folder (skills/scenario-multi-reference in scenario-labs/skills) into .claude/skills/scenario-multi-reference in your project. Claude Code loads it when a task matches its description.
Run `npx skills add scenario-labs/skills --skill scenario-multi-reference -a codex`. Or copy the skill folder (skills/scenario-multi-reference in scenario-labs/skills) into .agents/skills/scenario-multi-reference in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add scenario-labs/skills --skill scenario-multi-reference -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scenario-multi-reference, .gemini/skills/scenario-multi-reference, .github/skills/scenario-multi-reference and .opencode/skills/scenario-multi-reference in your project.
Going by SKILL.md and its folder, Scenario Multi Reference needs the command-line tools its instructions call (npx). Our summary lists: Node.js.
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
Scenario Multi Reference is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.6k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.9k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Scenario Multi Reference: BNB Chain MCP Server (internet-court/internet-court-skill, 6.6k stars), Dd Report Format (Abilityai/trinity, 636 stars), Bank (noskillish/bankmcp, 277 stars) and Dd Risk Scoring (Abilityai/trinity, 636 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
scenario-labs (a GitHub organization) maintains it in scenario-labs/skills, which has 946 GitHub stars. The repository holds 146 skills in this directory. The repository was last updated on October 10, 2026.
Source: scenario-labs/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.