sanmou-yanwu: Skill for Claude Code

.agents/manual-skills/battle-screenshots-to-log/SKILL.md

battle-screenshots-to-log is a skill for Claude Code from liamqma/sanmou-yanwu. It costs 57 tokens per session (1,675 once invoked), scanned A, original, no licence file.

A pipeline that turns battle-report screenshots on a USB-connected Android phone into one de-duplicated, side-labelled battle log with corrected database references. It first transfers screenshots with ADB, a computer-to-Android file tool.

In plain words
What is it for?
It is for pulling battle screenshots, grouping them by battle, labelling the sides, and producing a corrected battle log.
Why use it?
It combines collection and cleanup so repeated screenshots are removed and the resulting log is associated with the correct game data.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: installed under .agents/ (shared by several agents).

This is liamqma/sanmou-yanwu's own configuration. It tells Claude Code how to work on sanmou-yanwu itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything sanmou-yanwu configures →

Reuse

Borrowing it

Nothing to install: this file belongs to liamqma/sanmou-yanwu. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/liamqma/sanmou-yanwu/master/.agents/manual-skills/battle-screenshots-to-log/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/liamqma/sanmou-yanwu

Made for: Claude Code.

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 battle-screenshots-to-log

README.md
[![agentmods](https://agentmods.dev/badge/skills/liamqma/sanmou-yanwu/battle-screenshots-to-log/github.svg)](https://agentmods.dev/skills/liamqma/sanmou-yanwu/battle-screenshots-to-log)
Your own site
<a href="https://agentmods.dev/skills/liamqma/sanmou-yanwu/battle-screenshots-to-log"><img src="https://agentmods.dev/badge/skills/liamqma/sanmou-yanwu/battle-screenshots-to-log/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 battle-screenshots-to-log

Your own site · 80×15
<a href="https://agentmods.dev/skills/liamqma/sanmou-yanwu/battle-screenshots-to-log"><img src="https://agentmods.dev/badge/skills/liamqma/sanmou-yanwu/battle-screenshots-to-log.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,675 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 $0.00057 $0.01675
Opus 5.5 $0.00023 $0.00670
Sonnet 5.5 $0.00011 $0.00335
Haiku 4.5 $0.00006 $0.00168

Measured 1mo ago against content hash a8700d03fc6f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

battle-screenshots-to-log 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.

The scan reads SKILL.md. This mod also ships 1 executable file (pull_battles.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agents/manual-skills/battle-screenshots-to-log/SKILL.md · 157 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

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago Changed · -4 lines a8700d03fc6f
  2. 1mo ago Changed · -198 lines · -135 tokens per session 6f20d6702e40
  3. 2mo ago First seen · 359 lines · 192 tokens per session scan A cfd1e3305ac8

Subscribe to this mod's changes

battle-screenshots-to-log is a skill published in the GitHub repository liamqma/sanmou-yanwu (21 stars, last pushed 2d ago), with no licence file. It adds 57 tokens to every session and 1,675 once invoked, about $0.0002 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 2026-08-30.

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