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.
git 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/commands/mrjptech/macro-pickle/pickle-ref)<a href="https://agentmods.dev/commands/mrjptech/macro-pickle/pickle-ref"><img src="https://agentmods.dev/badge/commands/mrjptech/macro-pickle/pickle-ref/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/commands/mrjptech/macro-pickle/pickle-ref"><img src="https://agentmods.dev/badge/commands/mrjptech/macro-pickle/pickle-ref.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 | $0.00023 | $0.00751 |
| Opus 5.5 | $0.00009 | $0.00300 |
| Sonnet 5.5 | $0.00005 | $0.00150 |
| Haiku 4.5 | $0.00002 | $0.00075 |
Grade A, and why
pickle-ref 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/pickle-ref
Regenerate a product's reference frames when the studio shot is messy, off-brand, or — the
most common case — causes Veo to OVERSIZE the product in clips. Isolated white-background
studio refs carry no scale cue, so a palm-sized tin renders bucket-sized in a scene. This is
the reference-level fix; it pairs with the per-SKU _scale anchor in the clip scenes config.
Workflow (proven on the mosquito balm jar, 2026-06-30)
- Look at the current refs —
studio_01..03+life_01..02in the gen5 dir (extract a frame / open the PNGs; downscale >2000px with ffmpeg before viewing). - Regenerate clean STUDIO refs via nano, feeding the OLD refs to keep identity:
Generate 2–3 consistent angles for a clean ASSET set. Review every one before installing.pnpm nano --prompt "<clean SINGLE product, explicit true scale + form factor, pure white seamless, soft studio light, no text/logos>" \ --refs "<gen5>/studio_01.png,<gen5>/studio_02.png,<gen5>/studio_03.png" \ --model 2 --aspect 1:1 --size 2K --count 2 --out "<review-dir>" - Regenerate LIFESTYLE refs the same way, but in-scene with explicit scale objects (pinecones, a coin, pine needles, normal-sized props) — lifestyle frames are where scale context belongs (you can't put scale objects in the clean ASSET studio refs).
- Back up originals, then install:
Never overwrite gen5 originals without a backup.mkdir -p "<gen5>/_orig-<desc>" cp "<gen5>"/studio_0*.png "<gen5>"/life_0*.png "<gen5>/_orig-<desc>/" # backup cp "<review>/<keeper>.png" "<gen5>/studio_01.png" # …install the keepers - Re-render the clip —
/pickle-clips --skus <sku>once Veo quota is open (Flow now, or API on reset), and add a_scaleentry for the SKU incontent/clip-scenes/<store>.json.
Why white-bg refs oversize
Veo's ASSET lock preserves appearance, not real-world scale. Fix at three layers:
(a) a clean ref with an unambiguous form factor, (b) the per-SKU _scale phrase in the clip
scenes config, (c) in-frame scale objects in the lifestyle frames.
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 · 49 lines · 23 tokens per session scan A a1f74642ba34
pickle-ref is a command published in the GitHub repository MrJPTech/macro-pickle (2 stars, last pushed 2mo ago), licensed MIT. It adds 23 tokens to every session and 751 once invoked, about $0.0001 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 commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
speckit.bug.fix
Apply the remediation from a bug assessment and record what was changed.