What is redline-retained-replay?

A routing guide for work involving Redline retained replay, where recorded AQL or PM4 data is reused during model execution. It directs the agent to the project’s Redline and validation documents rather than defining a separate procedure.

Admitting models to retained replay, changing retained-route policies or kernels, handling resets and fallbacks, or making Redline-related benchmark claims.

It helps ensure changes to recording, replay, queues, model resets, fallbacks, or retained execution follow the project’s documented rules. It also covers claims about benchmark results attributed to Redline.

How warpfront/hipfire configures Claude Code and Codex

Reuse

Borrowing it

Nothing to install: this file belongs to warpfront/hipfire. 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/warpfront/hipfire/master/.agents/skills/redline-retained-replay/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/warpfront/hipfire

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/warpfront/hipfire/redline-retained-replay/github.svg)](https://agentmods.dev/skills/warpfront/hipfire/redline-retained-replay)

Your own site

<a href="https://agentmods.dev/skills/warpfront/hipfire/redline-retained-replay"><img src="https://agentmods.dev/badge/skills/warpfront/hipfire/redline-retained-replay/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/warpfront/hipfire/redline-retained-replay"><img src="https://agentmods.dev/badge/skills/warpfront/hipfire/redline-retained-replay.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 967 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.

Model	Per session	Once invoked
Fable 5.1	$0.00082	$0.00967
Opus 5.5	$0.00033	$0.00387
Sonnet 5.5	$0.00016	$0.00193
Haiku 4.5	$0.00008	$0.00097

Measured 2mo ago against content hash 573942e87874, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

redline-retained-replay 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.

.agents/skills/redline-retained-replay/SKILL.md · 61 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

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.

2mo ago First seen · 61 lines · 82 tokens per session scan A 573942e87874

Subscribe to this mod's changes

redline-retained-replay is a skill published in the GitHub repository warpfront/hipfire (797 stars, last pushed yesterday), with no licence file. It adds 82 tokens to every session and 967 once invoked, about $0.0003 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.

Quantization amd-gpu gpu-computing hip llm-inference machine-learning

redline-retained-replay next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
redline-retained-replaywarpfront/hipfire	Skill	797	yesterday	none	A	82	Claude Code, Codex
ticker-snapshotgoogle-research/google-research	Skill	39k	today	Apache-2.0	A	29	Claude Code, Codex
swarmskyegomez/swarms	Skill	7.4k	yesterday	Apache-2.0	A	73	Claude Code, Codex
eddtruera/trulens	Skill	3.6k	yesterday	MIT	A	63	Claude Code, Codex
neuron-evaluationneuron-core/neuron-ai	Skill	2.2k	yesterday	MIT	A	102	Claude Code, Codex
neuron-structured-outputneuron-core/neuron-ai	Skill	2.2k	yesterday	MIT	A	104	Claude Code, Codex
qdrant-hybrid-search-combiningtruera/trulens	Skill	3.6k	yesterday	MIT	A	72	Claude Code, Codex

hipfire: Skill for Claude Code