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indie-game-match-history-database-agent-skill: Instructions file for Claude Code

CLAUDE.md

indie-game-match-history-database-agent-skill CLAUDE.md is an instructions file for Claude Code from dungnotnull/indie-game-match-history-database-agent-skill. It costs 1,663 tokens per session, scanned A, original, MIT.

A workflow for analyzing historical match data from indie multiplayer games using a tested Python engine. It covers data gathering, ratings such as Elo and Glicko-2, storage, leaderboards, replay data, privacy, and evidence-based reporting.

In plain words
What is it for?
Building or reviewing match-history databases, calculating player ratings, producing leaderboards, storing replays, and analyzing retention requirements such as GDPR and COPPA.
Why use it?
It organizes scattered match records into a traceable analysis and makes the assumptions, sources, limitations, and data-retention concerns explicit.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md.

This is dungnotnull/indie-game-match-history-database-agent-skill's own configuration. It tells Claude Code how to work on indie-game-match-history-database-agent-skill 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 indie-game-match-history-database-agent-skill configures →

not rated 5repo 3mo ago A scan 1,663 tokens original MIT
View source ↗ dungnotnull/indie-game-match-history-database-agent-skill
Reuse

Borrowing it

Nothing to install: this file belongs to dungnotnull/indie-game-match-history-database-agent-skill. 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/dungnotnull/indie-game-match-history-database-agent-skill/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/dungnotnull/indie-game-match-history-database-agent-skill

Made for: Claude Code.

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Per session 1,663 This file is loaded in full into every session.
When invoked 1,663 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original 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 $0.01663 $0.01663
Opus 5.5 $0.00665 $0.00665
Sonnet 5.5 $0.00333 $0.00333
Haiku 4.5 $0.00166 $0.00166

Measured 2mo ago against content hash 74952315141d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

indie-game-match-history-database-agent-skill 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 2mo 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.

CLAUDE.md · 154 lines

How it starts

The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md - Skill 263: indie-game-match-history-database

Skill Identity

  • Skill Name: indie-game-match-history-database
  • Tagline: Historical Match Database Architecture & Engine for Indie Multiplayer Games - Indie Game Match-History Data Engineering analysis & decision-support harness backed by a runnable, tested Python engine.
  • Current Phase: Phase 5 - Integration & Polish (PRODUCTION READY v1.1.0)
  • Folder: D:\972026\263-indie-game-match-history-database\

Problem This Skill Solves

This skill provides a structured, evidence-backed analytical workflow for Indie Game Match-History Data Engineering. It gathers authoritative real-time and reference data, applies recognized domain methods, cross-references academic research, and delivers actionable outputs that are fully evidenced, risk/limitation-disclosed, and traceable to authoritative sources - continuously self-improving through an automated knowledge crawl pipeline.

Crucially, the skill is grounded in a real, tested engine package (indie_match_history/) implementing the data model, ELO/Glicko-2 ratings, tiered storage, leaderboards, replay blobs, and GDPR/COPPA retention it analyses - so recommendations reference runnable code, not prose.

Harness Flow Summary

/indie-game-match-history-database invoked
|
+-- Step 1: sub-gather-requirements   -> clarify object, scope, timeframe, inputs, audience, language
+-- Step 2: sub-evidence-collector    -> fetch authoritative real-time + reference + academic data
+-- Step 3: sub-core-analysis         -> design storage: model, tiering, queries, scale, replay, privacy
+-- Step 4: sub-knowledge-updater     -> query SECOND-KNOWLEDGE-BRAIN.md; surface tiered citations
+-- Step 5: sub-advisor               -> synthesize risk-disclosed conclusion + evidence chain
+-- Step 6: main (quality gate)        -> verify evidence hierarchy, disclosure, output polish

See skills/main.md for the full protocol, Pre-Flight language detection, 10 quality gates (U1-U6 + G1-G4), graceful degradation levels 0-4, the error recovery table, and the mandatory output template.

Read the full file on GitHub · 154 lines

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. 2mo ago First seen · 154 lines · 1,663 tokens per session scan A 74952315141d

Subscribe to this mod's changes

indie-game-match-history-database-agent-skill CLAUDE.md is an instructions file published in the GitHub repository dungnotnull/indie-game-match-history-database-agent-skill (5 stars, last pushed 3mo ago), licensed MIT. It adds 1,663 tokens to every session, about $0.0067 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.

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