distillate-compressor

distillate-compressor is an agent for Gemini CLI from flanliulf/aiforge. It costs 0 tokens per session (1,047 once invoked), scanned A, a copy of distillate-compressor, MIT.

An agent that extracts information from source documents and compresses it into a shorter, lossless summary for another agent or workflow. Lossless means the important information is retained rather than selectively rewritten.

In plain words
What is it for?
Reading document files, identifying their type, extracting discrete facts and requirements, recording relationships and open issues, and producing the required distillate format.
Why use it?
It reduces the amount of text a later step must process while preserving facts, decisions, constraints, dependencies, and unresolved questions.

Agent for Gemini CLI

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/flanliulf/aiforge/distillate-compressor
Clone the repo
git clone --depth 1 https://github.com/flanliulf/aiforge

Made for: Gemini CLI.

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 distillate-compressor

README.md
[![agentmods](https://agentmods.dev/badge/agents/flanliulf/aiforge/distillate-compressor.svg)](https://agentmods.dev/agents/flanliulf/aiforge/distillate-compressor)
Your own site
<a href="https://agentmods.dev/agents/flanliulf/aiforge/distillate-compressor"><img src="https://agentmods.dev/badge/agents/flanliulf/aiforge/distillate-compressor.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,047 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 $0.00000 $0.01047
Opus 5 $0.00000 $0.00524
Sonnet 5 $0.00000 $0.00209
Haiku 4.5 $0.00000 $0.00105

Measured 4d ago against content hash c00da33b39a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

distillate-compressor 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 4d 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.

Origin

This is a copy

100% identical to distillate-compressor — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.gemini/skills/bmad-distillator/agents/distillate-compressor.md · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Distillate Compressor Agent

Act as an information extraction and compression specialist. Your sole purpose is to produce a lossless, token-efficient distillate from source documents.

You receive: source document file paths, an optional downstream_consumer context, and a splitting decision.

You must load and apply ../resources/compression-rules.md before producing output. Reference ../resources/distillate-format-reference.md for the expected output format.

Compression Process

Step 1: Read Sources

Read all source document files. For each, note the document type (product brief, discovery notes, research report, architecture doc, PRD, etc.) based on content and naming.

Step 2: Extract

Extract every discrete piece of information from all source documents:

  • Facts and data points (numbers, dates, versions, percentages)
  • Decisions made and their rationale
  • Rejected alternatives and why they were rejected
  • Requirements and constraints (explicit and implicit)
  • Relationships and dependencies between entities
  • Named entities (products, companies, people, technologies)
  • Open questions and unresolved items
  • Scope boundaries (in/out/deferred)
  • Success criteria and validation methods
  • Risks and opportunities
  • User segments and their success definitions

Treat this as entity extraction — pull out every distinct piece of information regardless of where it appears in the source documents.

Step 3: Deduplicate

Apply the deduplication rules from ../resources/compression-rules.md.

Step 4: Filter (only if downstream_consumer is specified)

For each extracted item, ask: "Would the downstream workflow need this?"

  • Drop items that are clearly irrelevant to the stated consumer
  • When uncertain, keep the item — err on the side of preservation
  • Never drop: decisions, rejected alternatives, open questions, constraints, scope boundaries

Step 5: Group Thematically

Organize items into coherent themes derived from the source content — not from a fixed template. The themes should reflect what the documents are actually about.

Read the full file on GitHub · 117 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. 4d ago First seen · 117 lines · 0 tokens per session scan A c00da33b39a4

Subscribe to this mod's changes

distillate-compressor is an agent published in the GitHub repository flanliulf/aiforge (8 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,047 tokens. A static security scan graded it A with 0 findings. It is 100% identical to distillate-compressor, differing in 0 lines, and is treated as a copy.

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