compact-guard

compact-guard is a skill for Claude Code, Codex from rohitg00/pro-workflow. It costs 40 tokens per session (631 once invoked), scanned A, original, no licence file.

A context-saving helper for AI coding sessions. It records important files, task progress, and working state before the conversation is shortened, then restores them afterward.

In plain words
What is it for?
Use it before manually shortening a session or when automatic shortening starts, so work can continue with saved context.
Why use it?
Conversation shortening can make an agent lose details about the work in progress. This keeps key session information available after that happens.

Skill for Claude CodeCodex

Part of the pro-workflow plugin — 41 skills, 23 commands, 8 agents, 24 hooks shipped together

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/rohitg00/pro-workflow/compact-guard
Any agent
npx skills add rohitg00/pro-workflow --skill compact-guard
Clone the repo
git clone --depth 1 https://github.com/rohitg00/pro-workflow

Made for: Claude Code, Codex.

Or install pro-workflow, the plugin that ships this one along with the rest of its 41 skills, 23 commands, 8 agents, 24 hooks.

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-guard

README.md
[![agentmods](https://agentmods.dev/badge/skills/rohitg00/pro-workflow/compact-guard.svg)](https://agentmods.dev/skills/rohitg00/pro-workflow/compact-guard)
Your own site
<a href="https://agentmods.dev/skills/rohitg00/pro-workflow/compact-guard"><img src="https://agentmods.dev/badge/skills/rohitg00/pro-workflow/compact-guard.svg" alt="Measured on agentmods" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 631 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00040 $0.00631
Opus 5 $0.00020 $0.00316
Sonnet 5 $0.00008 $0.00126
Haiku 4.5 $0.00004 $0.00063

Measured 5d ago against content hash ac14353eff51, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

compact-guard 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 5d 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-guard/SKILL.md · 76 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

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.

  1. 5d ago First seen · 76 lines · 40 tokens per session scan A ac14353eff51

Subscribe to this mod's changes

compact-guard is a skill published in the GitHub repository rohitg00/pro-workflow (2,807 stars, last pushed 4d ago), with no licence file. It adds 40 tokens to every session and 631 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.

Related

Other skills, from other repositories

context-engineering

Apply the Write/Select/Compress/Isolate framework to manage the context window. Use when the task is long, the transcript is bloated, the model is drifting, or before /holocron:handoff.

atuljha23/holocron · 49 tokens

project-butler

Project memory workflow for init/upgrade, profile-aware setup, end session, normal/full close, file organization, document archiving, language switching, versioned update logs, rule review, status, wiki sync, and context recovery. Use for /project-butler, setup/初始化, foundation setup, profile setup, end session/收工…

JamesShi96/project-butler · 133 tokens

claude-compaction-restore

Use when a Claude Code session has just compacted, is about to compact, reached context limit, resumed after /compact, or needs to rebuild its working mental model from Claude JSONL transcripts and touched files.

mvschwarz/openrig · 49 tokens

retiring-and-inheriting-a-seat

Use when you are a sitting agent near your context threshold (85%) and a PLANNED seat transition is due — retire deliberately and hand your seat to a fresh successor primed from a packet, rather than let compaction degrade you. Covers the handover packet, the append-only lineage ledger (one row per tenure)…

mvschwarz/openrig · 145 tokens

evolve

Use this skill when extracting session patterns into reusable learnings. Three modes: analyze (extract from session history), review (edit/manage existing learnings), list (display active learnings). Manages .orchestrator/metrics/learnings.jsonl.

Kanevry/session-orchestrator · 53 tokens

minimax-m3-long-context

How to use MiniMax M3's 1M-token MSA context productively: what to load vs. compress, when to retrieve vs. ingest, how to keep skills shallow in the always-on prompt and deep in skills, and how to plan retention across iterations. Load when the task might exceed 200K tokens, when the user asks to "keep all of this in…

madebyaris/advance-minimax-m3-cursor-rules · 101 tokens