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 big-emotion/agent-atelier --skill blueprintgit clone --depth 1 https://github.com/big-emotion/agent-atelierWrote 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/big-emotion/agent-atelier/blueprint)<a href="https://agentmods.dev/skills/big-emotion/agent-atelier/blueprint"><img src="https://agentmods.dev/badge/skills/big-emotion/agent-atelier/blueprint/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/big-emotion/agent-atelier/blueprint"><img src="https://agentmods.dev/badge/skills/big-emotion/agent-atelier/blueprint.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 | $0.00000 | $0.05741 |
| Opus 5 | $0.00000 | $0.02870 |
| Sonnet 5 | $0.00000 | $0.01148 |
| Haiku 4.5 | $0.00000 | $0.00574 |
Grade A, and why
blueprint 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 10d 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 — 702 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blueprint — Frontend Spec Pipeline
Extract a complete specs/ directory from any frontend codebase. Covers all 12 axes needed to rebuild or migrate a frontend app. Produces ~80% quality on first pass, refined to ~95% through guided iteration.
Input: $ARGUMENTS = <command> [options]
Commands:
discover— Scan codebase, createspecs/_pipeline.mdscope— Interactive: select views and axes to specextract [--view <name>] [--axis <name>]— Extract specs (all, or resume one)incorporate [--dir <path>]— Analyze screenshots against visual specsrefine [--fix <RF-NN>]— Quality audit, generate checklistfinalize— Cross-references, known-gaps, rebuild-readinessrun— Auto-advance state machine through all phases
Examples:
/blueprint run— full pipeline from scratch (pauses at scope)/blueprint discover— scan only, create_pipeline.md/blueprint scope— select views interactively/blueprint extract— extract all pending axes/blueprint extract --view home— re-extract one view's functional spec/blueprint extract --axis types— re-extract just the types axis/blueprint incorporate— analyze screenshots inspecs/baseline//blueprint refine— run quality audit/blueprint refine --fix RF-03— address one checklist item/blueprint finalize— generate cross-refs + meta docs
Phase 0: Parse $ARGUMENTS
Read $ARGUMENTS. The first token is the command. Parse as follows:
If $ARGUMENTS is empty or missing:
→ Print usage help (command list + examples above) and stop.
Commands:
discover → Jump to Phase 1
scope → Jump to Phase 2
extract → Jump to Phase 3
Flags: --view <name> (extract only the named view's functional + visual specs)
--axis <name> (extract only the named axis)
incorporate → Jump to Phase 4
Flags: --dir <path> (custom screenshot directory; default: specs/baseline/)
refine → Jump to Phase 5
Flags: --fix <RF-NN> (address a specific checklist item only)
finalize → Jump to Phase 6
run → Jump to Orchestrator
Unknown command:
→ Print "Unknown command: {token}. Valid commands: run, discover, scope, extract, incorporate, refine, finalize." and stop.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 702 lines · 0 tokens per session scan A 31a75893b4f1
blueprint is a skill published in the GitHub repository big-emotion/agent-atelier (2 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 5,741 tokens. 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.
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