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transmission-jitter-reduction-agent-skill: Instructions file for Claude Code

CLAUDE.md

transmission-jitter-reduction-agent-skill CLAUDE.md is an instructions file for Claude Code from dungnotnull/transmission-jitter-reduction-agent-skill. It costs 2,255 tokens per session, scanned A, original, MIT.

An evidence-based analysis workflow for reducing network jitter, meaning variation in the time network packets take to arrive, especially during online games. It includes a runnable Python core whose decisions can be tested without an AI model.

In plain words
What is it for?
It is for investigating game-network jitter and real-time transport behavior, comparing network treatments, and producing supported optimization advice.
Why use it?
It organizes measurements, technical standards and research into a traceable analysis instead of relying on guesswork. It also records evidence and limitations for its recommendations.

Instructions file for Claude Code

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

This is dungnotnull/transmission-jitter-reduction-agent-skill's own configuration. It tells Claude Code how to work on transmission-jitter-reduction-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 transmission-jitter-reduction-agent-skill configures →

not rated 5repo 1mo ago A scan 2,255 tokens original MIT
View source ↗ dungnotnull/transmission-jitter-reduction-agent-skill
Reuse

Borrowing it

Nothing to install: this file belongs to dungnotnull/transmission-jitter-reduction-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/transmission-jitter-reduction-agent-skill/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/dungnotnull/transmission-jitter-reduction-agent-skill

Made for: Claude Code.

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Per session 2,255 This file is loaded in full into every session.
When invoked 2,255 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 $0.02255 $0.02255
Opus 5 $0.01128 $0.01128
Sonnet 5 $0.00451 $0.00451
Haiku 4.5 $0.00226 $0.00226

Measured 9d ago against content hash 0a5b5995e19f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

transmission-jitter-reduction-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 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.

CLAUDE.md · 178 lines

How it starts

The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md — Skill 262: transmission-jitter-reduction

Skill Identity

  • Skill Name: transmission-jitter-reduction
  • Tagline: Transmission Jitter Reduction Solutions for Gamers — Network Jitter & Real-Time Transport Optimization analysis & decision-support harness.
  • Current Phase: Phase 6 — Production Hardening & Open-Source Readiness (complete)
  • Version: 1.2.0
  • Folder: D:\972026\262-transmission-jitter-reduction\

Problem This Skill Solves

This skill provides a structured, evidence-backed analytical workflow for Network Jitter & Real-Time Transport Optimization. It gathers authoritative real-time and reference data, applies recognized domain methods (RFC-graded: RFC 3550 jitter, RFC 3393 PDV, RFC 8289 CoDel, RFC 8290 FQ-CoDel, RFC 8033 PIE, RFC 2474/3246/2597 DSCP/WMM), 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. A runnable Python core (tjr) makes the decision logic regression-testable without an LLM in the loop.

Harness Flow Summary

/transmission-jitter-reduction invoked
│
├─ Pre-Flight: language detection (en / vi)
├─ 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         → Jitter/PDV/bufferbloat + AQM + QoS/DSCP + Wi-Fi + buffer sizing.
├─ Step 4: sub-knowledge-updater     → Query SECOND-KNOWLEDGE-BRAIN.md; tier-labelled citations; flag gaps.
├─ Step 5: sub-advisor               → Risk-disclosed conclusion + scenarios + evidence chain + actions.
└─ Step 6: main (quality gate)       → verify U1–U6 + G1–G4; auto-fix + 2-retry budget; deliver.

The exact same contract is implemented in runnable form by tjr.harness.Harness.

Read the full file on GitHub · 178 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. 9d ago First seen · 178 lines · 2,255 tokens per session scan A 0a5b5995e19f

Subscribe to this mod's changes

transmission-jitter-reduction-agent-skill CLAUDE.md is an instructions file published in the GitHub repository dungnotnull/transmission-jitter-reduction-agent-skill (5 stars, last pushed 1mo ago), licensed MIT. It adds 2,255 tokens to every session, about $0.0113 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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