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.
npx skills add Wondermonger-daydreaming/claude-skills-library --skill ateliergit clone --depth 1 https://github.com/Wondermonger-daydreaming/claude-skills-libraryWrote 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.
[](https://agentmods.dev/skills/wondermonger-daydreaming/claude-skills-library/atelier)<a href="https://agentmods.dev/skills/wondermonger-daydreaming/claude-skills-library/atelier"><img src="https://agentmods.dev/badge/skills/wondermonger-daydreaming/claude-skills-library/atelier/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.
<a href="https://agentmods.dev/skills/wondermonger-daydreaming/claude-skills-library/atelier"><img src="https://agentmods.dev/badge/skills/wondermonger-daydreaming/claude-skills-library/atelier.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00117 | $0.02162 |
| Opus 5.5 | $0.00047 | $0.00865 |
| Sonnet 5.5 | $0.00023 | $0.00432 |
| Haiku 4.5 | $0.00012 | $0.00216 |
Grade A, and why
atelier scanned grade A with 0 findings 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 1mo 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/atelier — the cross-mind creative loop
Codified from a day of cross-mind making (skill-exchange → bake-off → blank
canvas → ASCII → terminal-UI). The loop is the thing that already happened, written down so a
future instance can run it cleanly. Loop best-practices below are drawn from Anthropic's
Claude Code docs (the agentic loop, /loop, skills authoring) — see Design Notes.
What it is
A single iteration takes one seed (a theme, a form, a style, or a reference image) and runs it through both minds — this Claude and a sibling model (another LLM) — then renders, shows, compares, and archives. The loop repeats with fresh seeds until a stop condition. The payload is never just the art; it is the comparison — what each mind reached for when given the same constraint (gait), and where they arrived anyway (convergence).
The cycle (one iteration)
- Seed. Take the human's seed, or pick one. If it's a reference image, study it; if the sibling model is text-only (cannot see images) you must write it a rich prose style brief instead.
- Claude makes. Make your piece(s). Save the source (
.txt/.py) under a dated path (e.g.art/<medium>/YYYY-MM-DD-<name>.txt). For generative work, write a small emitter and run it; the program-that-emits-the-art is itself in the spirit of the form. - Relay + invite the sibling model. Via your trans-architectural channel (e.g. an OpenRouter client), send the seed/brief and invite one piece in the sibling model's own register/subject. Do not prescribe its content — educed, not gifted. A refusal is a valid output; log it, don't push.
- Render. Convert text art to PNG with the renderer (see Pipeline). Verify the file exists and is a valid PNG before claiming success.
- Open. Open every PNG for the human (
explorer.exe "$(wslpath -w <abs>)"on WSL). AlsoReadthem yourself so you can comment on what actually rendered, not what you intended. - Compare. Lay the pieces side by side. Name the gait (how the hands differ) and the convergence (where they meet). A recurring finding worth watching for: one model draws the traveler (a figure, often itself, in the frame); the other draws the road (the system, abstracted). Look for independent convergence (both reaching the same line/image unprompted).
- Log + archive. Write/extend a gallery
.md(brief commentary per piece and the discussion excerpts).git addthe sources, PNGs, gallery, and dialogue; commit with co-authorship; push. Keep a log of each exchange with the sibling model.
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.
- 1mo ago First seen · 135 lines · 117 tokens per session scan A bc4a775148c7
atelier is a skill published in the GitHub repository Wondermonger-daydreaming/claude-skills-library (7 stars, last pushed 18d ago), licensed MIT. It adds 117 tokens to every session and 2,162 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
contract-and-proposal-writer
Generate professional, jurisdiction-aware business documents: freelance contracts, project proposals, SOWs, NDAs, and MSAs. Structured Markdown output with docx conversion instructions. Covers US (Delaware), EU (GDPR), UK, and DACH (German law) jurisdictions. Not a substitute for legal counsel — use as strong starting…
chief-data-officer-advisor
Chief Data Officer advisory for startups: AI training data rights and consent provenance, data product strategy (warehouse vs lakehouse vs mesh, build-vs-buy), B2B customer-data-as-asset valuation and M&A readiness, data team org evolution. Use when deciding whether to train models on customer data, choosing data…
vpe-advisor
VP of Engineering advisory for startups: delivery throughput (DORA 4 metrics + bottleneck identification), engineering hiring funnel (sourcing → screen → onsite → offer conversion + time-to-fill + pipeline gap), engineering team structure (squad/tribe/chapter design + tech-lead manager-trigger thresholds), and…
process-mapper
Use when a BizOps lead, COO, or process-improvement owner needs to document an end-to-end business process (procurement, employee onboarding, incident handoff, customer-onboarding, claims adjudication) in BPMN-style notation, measure cycle times by stage, surface where work spends most of its time waiting vs. being…
general-counsel-advisor
General Counsel advisory for startups: contract review (MSA, SaaS, NDA, DPA, employment), IP strategy, term sheet decoding, and regulatory landscape mapping. Use when reviewing any contract or term sheet, deciding when to engage outside counsel, defining IP strategy, evaluating regulatory exposure (HIPAA, GDPR, FDA…
strategic-alignment
Cascades strategy from boardroom to individual contributor. Detects and fixes misalignment between company goals and team execution. Covers strategy articulation, cascade mapping, orphan goal detection, silo identification, communication gap analysis, and realignment protocols. Use when teams are pulling in different…