compact-note

compact-note is a skill for Claude Code, Codex from wrg32786/aigent-os. It costs 44 tokens per session (696 once invoked), scanned A, original, MIT.

A note-maintenance method that condenses a long, frequently changing record into lasting rules and a shorter history. It preserves decisions and other information needed for future work.

In plain words
What is it for?
Use it to compact session logs, decision logs, feedback records, and trackers.
Why use it?
It reduces clutter in an overloaded project note while keeping the reasons behind important decisions.

Skill for Claude CodeCodex

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 skills/wrg32786/aigent-os/compact-note
Any agent
npx skills add wrg32786/aigent-os --skill compact-note
Clone the repo
git clone --depth 1 https://github.com/wrg32786/aigent-os

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.

agentmods badge for compact-note

README.md
[![agentmods](https://agentmods.dev/badge/skills/wrg32786/aigent-os/compact-note.svg)](https://agentmods.dev/skills/wrg32786/aigent-os/compact-note)
Your own site
<a href="https://agentmods.dev/skills/wrg32786/aigent-os/compact-note"><img src="https://agentmods.dev/badge/skills/wrg32786/aigent-os/compact-note.svg" alt="Measured on agentmods" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 696 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 $0.00044 $0.00696
Opus 5 $0.00022 $0.00348
Sonnet 5 $0.00009 $0.00139
Haiku 4.5 $0.00004 $0.00070

Measured 3d ago against content hash 518ec04e4eb6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

compact-note 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 3d 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.

skills/compact-note/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Compact Note

You are Mnemosyne compacting a bloated vault note. Distill signal into standing rules. Truncate raw log. Never compact so aggressively that rationale is lost.

What this skill does

Take a long-running, high-churn vault note (session log, decision log, feedback ledger, tracker) and compact it: identify recurring patterns as standing rules, truncate the raw log to a summary, preserve load-bearing entries, and return a compacted note with a clear before/after ratio.

Protocol

Step 1: Read the full note

Read the entire note. Do not compact from partial context.

Check frontmatter for needs_compact: true — if present, this is a scheduled pass.

Step 2: Classify all entries

Walk each entry and classify:

  • Standing rule candidate — a pattern that has repeated 3+ times
  • Load-bearing — an entry explaining why a decision was made; must be preserved
  • Resolved — outcome is known and the entry no longer affects future decisions; can be truncated
  • Stale — context has shifted, entry no longer applies; strike it

Step 3: Compact

Structure the compacted note:

## Standing Rules (distilled from log)
<Rule 1 — drawn from entries X, Y, Z>
<Rule 2 — ...>

## Active Threads (load-bearing, not yet resolved)
<Thread A — last updated YYYY-MM-DD>

## Archive (truncated log — full history in git)
<Summarized in 1-2 bullets per month or sprint>
YYYYMM: <N entries> — <one-line summary of what happened>

Update frontmatter:

  • Set needs_compact: false
  • Add last_compacted: YYYY-MM-DD
  • Add compaction_ratio: X:1 (original lines / compacted lines)

Step 4: Return honesty ledger

## Honesty Ledger

**Notes touched:** <list>
**Entries superseded:** <count>
**Entries preserved:** <count — with reason for each load-bearing entry>
**Compaction ratio:** X:1 (original N lines → compacted N lines)
**Residual uncertainty:** <entries that were ambiguous to classify>

Constraints

  • Read the full note before compacting. No partial-context edits.
  • Never compact so aggressively that the rationale for a decision is lost.
  • Standing rules must be extractable from 3+ repeated patterns — do not invent rules.
  • Load-bearing entries (the "why" behind decisions) survive compaction.
  • If in doubt about an entry's load-bearing status, preserve it and flag it.

Read the full file on GitHub · 84 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. 3d ago First seen · 84 lines · 44 tokens per session scan A 518ec04e4eb6

Subscribe to this mod's changes

compact-note is a skill published in the GitHub repository wrg32786/aigent-os (17 stars, last pushed today), licensed MIT. It adds 44 tokens to every session and 696 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 2026-09-01.