Project-AMBER: Skill for Claude Code

.github/skills/engram-new-session/SKILL.md

engram-new-session is a skill for Claude Code from JJHbrams/Project-AMBER. It costs 102 tokens per session (533 once invoked), scanned A, original, MIT.

A procedure for starting a fresh Engram overlay session, where the overlay is a persistent on-screen conversation layer. It clears the current session identifier so the next message starts without earlier context.

In plain words
What is it for?
Use it when the user asks for a new session or conversation reset; it sends a request to the local overlay service.
Why use it?
It prevents a new conversation from inheriting the previous session's context.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

This is JJHbrams/Project-AMBER's own configuration. It tells Claude Code how to work on Project-AMBER 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 Project-AMBER configures →

Reuse

Borrowing it

Nothing to install: this file belongs to JJHbrams/Project-AMBER. 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/JJHbrams/Project-AMBER/master/.github/skills/engram-new-session/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/JJHbrams/Project-AMBER

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 engram-new-session

README.md
[![agentmods](https://agentmods.dev/badge/skills/jjhbrams/project-amber/engram-new-session/github.svg)](https://agentmods.dev/skills/jjhbrams/project-amber/engram-new-session)
Your own site
<a href="https://agentmods.dev/skills/jjhbrams/project-amber/engram-new-session"><img src="https://agentmods.dev/badge/skills/jjhbrams/project-amber/engram-new-session/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 engram-new-session

Your own site · 80×15
<a href="https://agentmods.dev/skills/jjhbrams/project-amber/engram-new-session"><img src="https://agentmods.dev/badge/skills/jjhbrams/project-amber/engram-new-session.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 533 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00102 $0.00533
Opus 5.5 $0.00041 $0.00213
Sonnet 5.5 $0.00020 $0.00107
Haiku 4.5 $0.00010 $0.00053

Measured 1mo ago against content hash dac283f4e00a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

engram-new-session scanned grade A with 1 finding 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.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

(bash) `curl -s -X POST http://127.0.0.1:17384/bubble/new`
.github/skills/engram-new-session/SKILL.md · 34 lines

What it actually says

Engram 말풍선 — 새 세션 시작

overlay 의 말풍선 상주 세션은 같은 claude_session_id 로 계속 이어진다(overlay 재시작에도 resume). 사용자가 "새 세션/새 대화 시작/대화 초기화"를 원하면 아래로 즉시 리셋한다 (overlay 재시작 불필요).

실행 절차

  1. overlay STM 서버 /bubble/new 로 POST:

    Invoke-RestMethod -Method POST -Uri "http://127.0.0.1:17384/bubble/new" -TimeoutSec 5
    

    (bash) curl -s -X POST http://127.0.0.1:17384/bubble/new

    포트 기본값은 17384 — 바꿨다면 ~/.engram/user.config.yaml 의 overlay.stm_server_port 참조.

  2. 응답이 {"status":"ok","action":"bubble_new_session"} 이면 성공. overlay 가 현재 상주 세션을 종료하고 claude_session_id 를 비운다 → 다음 사용자 입력이 새 세션의 첫 메시지가 된다.

  3. 사용자에게 한 줄로만 알린다: "새 세션으로 시작할게 — 다음 메시지부터 이전 맥락 없이 이어져."

규칙

  • 이 호출은 현재 상주 세션을 종료시킨다 — 호출 직후 현재 턴이 끊길 수 있고, 그게 정상이다.
  • 연결이 실패하면(ConnectionRefused 등) overlay(engram-overlay.exe)가 실행 중이 아닌 것 — "overlay 가 실행 중이 아니라 새 세션을 시작할 수 없어" 한 줄로 안내한다.
  • 인수가 있으면, 리셋 요청 후 그 인수를 새 세션의 첫 요청으로 이어서 처리한다.
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 First seen · 34 lines · 102 tokens per session scan A dac283f4e00a

Subscribe to this mod's changes

engram-new-session is a skill published in the GitHub repository JJHbrams/Project-AMBER (2 stars, last pushed 24d ago), licensed MIT. It adds 102 tokens to every session and 533 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

penfield

Persistent memory for AI agents. Store decisions, preferences, and context that survive across sessions. Build knowledge graphs that compound over time. Hybrid search (BM25 + vector + graph) recalls what matters when you need it.

penfieldlabs/penfield-mcp · 47 tokens

mengram-memory

Long-term memory with 3 types (facts, events, workflows). Remember user preferences, past conversations, and learned procedures across sessions. Use when recalling what the user said before, saving important info, getting user context, or tracking completed workflows.

alibaizhanov/mengram · 53 tokens

memory-audit-discoverability

A review guide for checking whether stored memories can be found at the right time. It focuses on where memories are attached, when they are triggered, whether aliases are missing, and whether a parent has too many children.

Dataojitori/nocturne_memory · 35 tokens

memory-audit-pattern-extraction

A method for investigating repeated mistakes by comparing related memories and checking whether an earlier reminder failed. It looks at where the reminder was stored, when it was created, and whether it was strong enough to prevent the mistake.

Dataojitori/nocturne_memory · 48 tokens

memory-audit

An entry point for reviewing and maintaining an AI agent's stored memories. It describes how to remove repetition, preserve useful reasoning, and update memories when old conclusions no longer fit.

Dataojitori/nocturne_memory · 37 tokens

add-connector

Onboard a deus connect connector — a way to route Claude Code sessions to non-Claude models (e.g. GPT via CLIProxyAPI) alongside normal Claude access. Generic orchestrator over whichever connector is selected.

sliamh11/Deus · 49 tokens