mosaic

mosaic is a skill for Claude Code from YG3-ai/quill. It costs 60 tokens per session (1,173 once invoked), scanned A, original, MIT.

A mosaic response skill that divides a multi-part task among two to four agents, has them review one another, and combines their work while keeping their different viewpoints visible.

In plain words
What is it for?
Use it for complex multi-aspect tasks where separate technical and human-focused perspectives should contribute to the result.
Why use it?
It helps compare independent approaches when a task spans several areas, such as code, design, documentation, and tests.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: mentions Codex.

Part of the quill plugin — 4 skills shipped together

Good fit Use it for complex multi-aspect tasks where separate technical and human-focused perspectives should contribute to the result.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yg3-ai/quill/mosaic
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add YG3-ai/quill --skill mosaic
Clone the repo
git clone --depth 1 https://github.com/YG3-ai/quill

Made for: Claude Code.

Or install quill, the plugin that ships this one along with the rest of its 4 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for mosaic

README.md
[![agentmods](https://agentmods.dev/badge/skills/yg3-ai/quill/mosaic/github.svg)](https://agentmods.dev/skills/yg3-ai/quill/mosaic)
Your own site
<a href="https://agentmods.dev/skills/yg3-ai/quill/mosaic"><img src="https://agentmods.dev/badge/skills/yg3-ai/quill/mosaic/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for mosaic

Your own site · 80×15
<a href="https://agentmods.dev/skills/yg3-ai/quill/mosaic"><img src="https://agentmods.dev/badge/skills/yg3-ai/quill/mosaic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,173 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00060 $0.01173
Opus 5 $0.00030 $0.00587
Sonnet 5 $0.00012 $0.00235
Haiku 4.5 $0.00006 $0.00117

Measured 12d ago against content hash 30d264abaa5b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

mosaic scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

import json, urllib.request, sys
plugins/quill/skills/mosaic/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

The developer just typed /quill:mosaic — they want a mosaic response to a multi-aspect task. Their task description: "$ARGUMENTS"

Mosaic mode is different from consult/perspective/assumptions. Those relay one-shot perspectives. Mosaic produces structured work: 2-4 slices written by different agents in their native voices, cross- reviewed for consistency, assembled with the seams visible on purpose.

The thesis: two heads are better than one. The mosaic IS the value — preserved texture diversity is the feature, not a bug.

When mosaic mode fits

  • Multi-aspect tasks: code + docs + UX + tests, or backend + frontend + migration plan, or methodology + findings + caveats
  • Work where you want both a precise voice AND a humanistic voice contributing, not one blending them
  • Tasks where the seams between aspects matter (e.g. does the doc match the implementation? does the test cover the UX claim?)

When to NOT reach for mosaic mode

  • Single-aspect tasks (just code, just docs, just a yes/no question) — use the doer agent directly or /quill:consult
  • Quick questions — mosaic mode takes 60-180 seconds
  • Anything where uniform voice is actually what the developer wants

If you suspect the developer's task is single-aspect, tell them so and suggest they re-issue without /quill:mosaic (or use /quill:consult for a thinking-partner reframe).

Step 1 — Pass the task to mosaic mode

Use this command, substituting the developer's task description for <DEVELOPER TASK>:

python3 -c "
import json, urllib.request, sys
msg = sys.argv[1]
payload = json.dumps({'task': msg}).encode()
req = urllib.request.Request('http://127.0.0.1:9000/mosaic', data=payload, headers={'Content-Type': 'application/json'})
try:
    with urllib.request.urlopen(req, timeout=240) as r:
        data = json.loads(r.read())
    if data.get('error'):
        print(f'MOSAIC ERROR: {data[\"error\"]}')
    else:
        print(data.get('assembled_response', '(no response)'))
        print()
        print('---VOICE MAP---')
        for slc, voice in (data.get('voice_map') or {}).items():
            print(f'  {slc}: {voice}')
        flags = data.get('cross_review_flags') or []
        if flags:
            print()
            print(f'---{len(flags)} CROSS-REVIEW FLAG(S)---')
except Exception as e:
    print(f'BRIDGE UNAVAILABLE: {e}')
" "<DEVELOPER TASK>"

Read the full file on GitHub · 115 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 115 lines · 60 tokens per session scan A 30d264abaa5b

Subscribe to this mod's changes

mosaic is a skill published in the GitHub repository YG3-ai/quill (1 stars, last pushed 3mo ago), licensed MIT. It adds 60 tokens to every session and 1,173 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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