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 agentmods add instructions/mrjptech/macro-pickle/claude-mdgit clone --depth 1 https://github.com/MrJPTech/macro-pickleWrote 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/instructions/mrjptech/macro-pickle/claude-md)<a href="https://agentmods.dev/instructions/mrjptech/macro-pickle/claude-md"><img src="https://agentmods.dev/badge/instructions/mrjptech/macro-pickle/claude-md.svg" alt="Measured on agentmods" 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 | $0.02817 | $0.02817 |
| Opus 5 | $0.01409 | $0.01409 |
| Sonnet 5 | $0.00563 | $0.00563 |
| Haiku 4.5 | $0.00282 | $0.00282 |
Grade A, and why
macro-pickle CLAUDE.md 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 5d 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 — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
macro-pickle — AI Creative Tooling
Project Overview
Local, database-free AI creative toolkit — image & video generation plus a typed, brand-aware Prompt Engine, driven through Claude (CLI scripts, a desktop MCP server, and Claude Code skills/commands). There is no database and no web app: every rail writes files to disk, and finalized prompts are exported as copy-paste markdown into a notes vault of your choosing.
Brand profiles and campaign prompt packs are intentionally NOT in this repo — it ships one worked example (
quiet-desk) and stays brand-agnostic. Keep your own brands in a private directory and pointMACRO_PICKLE_BRANDS_DIRat it.
Technology Stack
| Layer | Technology |
|---|---|
| Language / runtime | TypeScript (strict, ESM) on Node via tsx |
| Image / video | @google/genai ≥2.x (Gemini vision · Imagen · Veo · Nano Banana · Omni Flash video editing) · @fal-ai/client (FLUX et al. · Kling) |
| MCP | @modelcontextprotocol/sdk (desktop macro-pickle-images server) |
| Validation | zod |
| Optional OCR sidecar | Python + PaddleOCR (scripts/py/, opt-in) |
| Package Manager | pnpm |
Common Commands
pnpm install
cp .env.example .env.local # add GOOGLE_API_KEY + FAL_KEY
pnpm lint # tsc --noEmit (type-check the whole toolkit)
# Prompts
pnpm prompt --brands # list brand profiles
pnpm prompt --image --brand quiet-desk --json '{"subject":"lamp hero shot"}' --save
# Image generation
pnpm img "neon pickle mascot" # Imagen 4.0 → MACRO_PICKLE_EXPORT_DIR
pnpm fal --model flux-pro "…" # fal.ai (FLUX / Recraft / Ideogram / SD3.5)
pnpm nano # Nano Banana face-lock from reference photos
# Video generation
pnpm veo # Google Veo (t2v / i2v / --refs ASSET lock)
pnpm kling # Kling via fal.ai (i2v / t2v / start+end)
# Video EDITING — Gemini Omni Flash (PAID, ~$0.10/s output; no free tier)
pnpm omni --video ref.mp4 --prompt "…" # manipulate a reference video in plain language
pnpm omni --continue <id> --prompt "…" # chain conversational refinements (multi-turn)
pnpm omni --prompt "…" --dry-run # prompt + cost estimate, no API call
# Media pipeline (two-stage: idea → reference frames → curate → video)
pnpm scene:new <slug> # scaffold a scene.json
pnpm scene:refs <slug> # Stage 1: generate reference frames
pnpm scene:select <slug> <ids> # curate the keepers
pnpm scene:video <slug> # Stage 2: selected frames → video (scene.json "model": "omni-flash" routes via Omni, paid)
# Store batch clips (gen5 product refs → clips), spend-gated + resume-safe
pnpm rank-skus --store <dir> --top 8 --ids # rank a store's SKUs by sales → top-N ids
pnpm gen-clips --store <dir> --dry-run # generic batch (Veo free + Kling paid); dry-run first
pnpm gen-clips --store <dir> --yes # live paid run (ENFORCED: --yes + --max-spend cap; existing clips skipped)
# per-store tuning lives in content/clip-scenes/<store>.json (see example-store.json)
# Vision / UGC
pnpm describe # Gemini: product OCR + in-use scene rec (--paddle for sidecar)
pnpm analyze-video # describe a reference clip
pnpm mcp:image # run the desktop MCP server
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.
- 5d ago First seen · 169 lines · 2,817 tokens per session scan A ec6cb1b45ab3
macro-pickle CLAUDE.md is an instructions file published in the GitHub repository MrJPTech/macro-pickle (2 stars, last pushed 1mo ago), licensed MIT. It adds 2,817 tokens to every session, about $0.0141 per session on Opus 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 instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.