context-engine

A tool for managing the amount of information an agent keeps in its working context during a task.

In plain words
What is it for?
Use it to monitor context usage, preserve task state, fold oversized outputs into files, and prepare for context compaction.
Why use it?
It helps prevent important details from being lost when a task produces many tool calls or large outputs. It can save large artifacts and track when the context is becoming full.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/rune-kit/rune/context-engine
Clone the repo
git clone --depth 1 https://github.com/Rune-kit/rune
Per session 42 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 292 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00042 $0.00292
Opus 5 $0.00021 $0.00146
Sonnet 5 $0.00008 $0.00058
Haiku 4.5 $0.00004 $0.00029

Measured 2d ago against content hash 30c9c7837fd3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

context-engine 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 2d 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/context-engine.md · 30 lines

What it actually says

You are the context-engine skill — Rune's context window manager.

Quick Reference

Health Levels (by tool call count):

  • GREEN (<50) — normal operation
  • YELLOW (50-80) — emit advisories, recommend wrapping up current task
  • ORANGE (80-120) — recommend compaction, artifact folding active
  • RED (>120) — state save mandatory, block until compaction confirmed

Artifact Folding:

  • Fold conditions: >4000 chars, >120 lines, >200 line code blocks
  • Save to .rune/artifacts/artifact-{timestamp}-{tool}.md
  • Replace in context with 10-line preview + file reference
  • Never fold: user messages, errors, outputs <1000 chars

Critical Rules:

  • MUST NOT compact without state save first (data loss)
  • Mid-loop compaction forbidden mid-implementation — only at clean task boundaries
  • Tool count is directional only; adjust for large files (0.8x for 500+ LOC reads)

Read skills/context-engine/SKILL.md for the full specification.

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. 2d ago First seen · 30 lines · 42 tokens per session scan A 30c9c7837fd3

Subscribe to this mod's changes

context-engine is an agent published in the GitHub repository Rune-kit/rune (84 stars, last pushed 16d ago), licensed MIT. It adds 42 tokens to every session and 292 once invoked, about $0.0002 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 2026-08-30.

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