Borrowing it
Nothing to install: this file belongs to sandeep-alluru/polaroid. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/sandeep-alluru/polaroid/main/CLAUDE.mdgit clone --depth 1 https://github.com/sandeep-alluru/polaroidWrote 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/sandeep-alluru/polaroid/claude-md)<a href="https://agentmods.dev/instructions/sandeep-alluru/polaroid/claude-md"><img src="https://agentmods.dev/badge/instructions/sandeep-alluru/polaroid/claude-md/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/instructions/sandeep-alluru/polaroid/claude-md"><img src="https://agentmods.dev/badge/instructions/sandeep-alluru/polaroid/claude-md.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 | $0.00240 | $0.00240 |
| Opus 5 | $0.00120 | $0.00120 |
| Sonnet 5 | $0.00048 | $0.00048 |
| Haiku 4.5 | $0.00024 | $0.00024 |
Grade A, and why
polaroid 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 8d 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.
What it actually says
polaroid — Session Anchor
Research spec: ../tech-research/12-Embodied-and-Physical-World/polaroid-a-persistent-shared-spatial-semantic-memory-la/README.md
One-liner: SQLite-moment for physical-world memory — embeddable CRDT scene graph + universal sensor broker
Phase: backlog
Stack: Python, automerge-py (or py-crdt), paho-mqtt
Key decisions
Next step
Read the research spec, then evaluate automerge-py vs py-crdt for the scene graph backend.
MVP definition
pip install polaroid-aiworks- Embeddable spatiotemporal scene graph (nodes = physical entities, edges = spatial relationships)
- CRDT-merged across multiple writers (no coordination overhead)
- MQTT sensor adapter (paho-mqtt)
- NL query interface:
polaroid.query("what's near the door?") - Demo: two concurrent Python processes write conflicting entity positions → merge without error
- README with warehouse/robotics example
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.
- 8d ago First seen · 22 lines · 240 tokens per session scan A c4899a18b4af
polaroid CLAUDE.md is an instructions file published in the GitHub repository sandeep-alluru/polaroid (0 stars, last pushed 22d ago), licensed MIT. It adds 240 tokens to every session, about $0.0012 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.
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