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 JunMystery/Agent-Guidance-Python --skill blueprintgit clone --depth 1 https://github.com/JunMystery/Agent-Guidance-PythonWrote 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/junmystery/agent-guidance-python/blueprint)<a href="https://agentmods.dev/skills/junmystery/agent-guidance-python/blueprint"><img src="https://agentmods.dev/badge/skills/junmystery/agent-guidance-python/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/junmystery/agent-guidance-python/blueprint"><img src="https://agentmods.dev/badge/skills/junmystery/agent-guidance-python/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 | $0.00122 | $0.01168 |
| Opus 5.5 | $0.00049 | $0.00467 |
| Sonnet 5.5 | $0.00024 | $0.00234 |
| Haiku 4.5 | $0.00012 | $0.00117 |
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 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.
This is a copy
100% identical to blueprint — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blueprint — Construction Plan Generator
Turn a one-line objective into a step-by-step construction plan that any coding agent can execute cold.
When to Use
- Breaking a large feature into multiple PRs with clear dependency order
- Planning a refactor or migration that spans multiple sessions
- Coordinating parallel workstreams across sub-agents
- Any task where context loss between sessions would cause rework
Do not use for tasks completable in a single PR, fewer than 3 tool calls, or when the user says "just do it."
How It Works
Blueprint runs a 5-phase pipeline:
- Research — Pre-flight checks (git, gh auth, remote, default branch), then reads project structure, existing plans, and memory files to gather context.
- Design — Breaks the objective into one-PR-sized steps (3–12 typical). Assigns dependency edges, parallel/serial ordering, model tier (strongest vs default), and rollback strategy per step.
- Draft — Writes a self-contained Markdown plan file to
plans/. Every step includes a context brief, task list, verification commands, and exit criteria — so a fresh agent can execute any step without reading prior steps. - Review — Delegates adversarial review to a strongest-model sub-agent (e.g., Opus) against a checklist and anti-pattern catalog. Fixes all critical findings before finalizing.
- Register — Saves the plan, updates memory index, and presents the step count and parallelism summary to the user.
Blueprint detects git/gh availability automatically. With git + GitHub CLI, it generates full branch/PR/CI workflow plans. Without them, it switches to direct mode (edit-in-place, no branches).
Examples
Basic usage
/blueprint myapp "migrate database to PostgreSQL"
Produces plans/myapp-migrate-database-to-postgresql.md with steps like:
- Step 1: Add PostgreSQL driver and connection config
- Step 2: Create migration scripts for each table
- Step 3: Update repository layer to use new driver
- Step 4: Add integration tests against PostgreSQL
- Step 5: Remove old database code and config
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 · 106 lines · 122 tokens per session scan A f74f4f312e2c
blueprint is a skill published in the GitHub repository JunMystery/Agent-Guidance-Python (2 stars, last pushed 3mo ago), licensed MIT. It adds 122 tokens to every session and 1,168 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to blueprint, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
debug-optimize-lcp
Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…
implementation-readiness
Verify BRD-lite, PRD, SRS/FRS, UX, and test prerequisites before implementation starts.
skill-benchmark
Benchmark AI skill effectiveness by measuring implementation quality against legacy constraints.
frontmcp-setup
Use when starting, scaffolding, or organizing a FrontMCP project. Covers creating a new project (CLI scaffold or manual) for Node, Vercel, and other targets; standalone versus Nx-monorepo layout, naming conventions, generators, and dependency rules; composing multiple @App classes, ESM packages, and remote MCP servers…
opik
Reference for the Opik SDK — tracing, span types, framework integrations, threads, and the prompt library (Python, TypeScript, REST). Use for "what span types exist", "how do I flush", "trackopenai", "add OpikTracer", "version a prompt". To instrument a repo end to end, use the opik-instrument skill.
collaborating-with-antigravity
Delegate analytical, sandboxed, or long-running work to the Google Antigravity (agy) CLI through a JSON-bridge wrapper. Use when you need a second opinion, want to isolate side effects in a worktree, or need to run a long agent loop without blocking the main conversation.