cv-smm-spatial-observation-encoding

cv-smm-spatial-observation-encoding is a skill for Claude Code, Codex from wenmin-wu/ds-skills. It costs 42 tokens per session (694 once invoked), scanned A, original, no licence file.

A compact encoding of game state as a grid with separate channels for players, the ball, and possession. The grid is bit-packed so it can be transferred efficiently during reinforcement learning, where an agent learns by interacting with an environment.

In plain words
What is it for?
It helps represent player positions, ball position, and ownership for game-playing reinforcement-learning models.
Why use it?
A structured map gives the learning system a consistent spatial view of the game. Compact storage reduces the amount of state data that must be transferred.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It helps represent player positions, ball position, and ownership for game-playing reinforcement-learning models.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wenmin-wu/ds-skills/smm-spatial-observation-encoding
Install

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.

Any agent
npx skills add wenmin-wu/ds-skills --skill smm-spatial-observation-encoding
Clone the repo
git clone --depth 1 https://github.com/wenmin-wu/ds-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for cv-smm-spatial-observation-encoding

README.md
[![agentmods](https://agentmods.dev/badge/skills/wenmin-wu/ds-skills/smm-spatial-observation-encoding/github.svg)](https://agentmods.dev/skills/wenmin-wu/ds-skills/smm-spatial-observation-encoding)
Your own site
<a href="https://agentmods.dev/skills/wenmin-wu/ds-skills/smm-spatial-observation-encoding"><img src="https://agentmods.dev/badge/skills/wenmin-wu/ds-skills/smm-spatial-observation-encoding/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.

agentmods 80×15 button for cv-smm-spatial-observation-encoding

Your own site · 80×15
<a href="https://agentmods.dev/skills/wenmin-wu/ds-skills/smm-spatial-observation-encoding"><img src="https://agentmods.dev/badge/skills/wenmin-wu/ds-skills/smm-spatial-observation-encoding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 694 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.00694
Opus 5 $0.00021 $0.00347
Sonnet 5 $0.00008 $0.00139
Haiku 4.5 $0.00004 $0.00069

Measured 9d ago against content hash 65c0a8080eaa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

cv-smm-spatial-observation-encoding 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 9d 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.

skills/cv/smm-spatial-observation-encoding/SKILL.md · 61 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

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.

  1. 9d ago First seen · 61 lines · 42 tokens per session scan A 65c0a8080eaa

Subscribe to this mod's changes

cv-smm-spatial-observation-encoding is a skill published in the GitHub repository wenmin-wu/ds-skills (61 stars, last pushed 4mo ago), with no licence file. It adds 42 tokens to every session and 694 once invoked, about $0.0002 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 2026-09-03.

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