rem

rem is a skill for Claude Code from khef-labs/khef-mac. It costs 71 tokens per session (1,768 once invoked), scanned A, original, no licence file.

A guide for reviewing and tidying project memories, including stale, duplicate, outdated, or disconnected knowledge files.

In plain words
What is it for?
It is for scanning, reporting on, and cleaning up memories, snapshots, collections, and related project knowledge.
Why use it?
It helps keep stored project knowledge accurate and easier to use.

Skill for Claude Code

Written for Claude Code: context: fork in frontmatter.

Good fit It is for scanning, reporting on, and cleaning up memories, snapshots, collections, and related project knowledge.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/khef-labs/khef-mac/rem
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.

Any agent
npx skills add khef-labs/khef-mac --skill rem
Clone the repo
git clone --depth 1 https://github.com/khef-labs/khef-mac

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 rem

README.md
[![agentmods](https://agentmods.dev/badge/skills/khef-labs/khef-mac/rem.svg)](https://agentmods.dev/skills/khef-labs/khef-mac/rem)
Your own site
<a href="https://agentmods.dev/skills/khef-labs/khef-mac/rem"><img src="https://agentmods.dev/badge/skills/khef-labs/khef-mac/rem.svg" alt="Measured on agentmods" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,768 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00071 $0.01768
Opus 5 $0.00036 $0.00884
Sonnet 5 $0.00014 $0.00354
Haiku 4.5 $0.00007 $0.00177

Measured 7d ago against content hash 7813ea1300d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

rem 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 7d 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.

apps/api/lib/skills/rem/SKILL.md · 158 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

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. 7d ago First seen · 158 lines · 71 tokens per session scan A 7813ea1300d3

Subscribe to this mod's changes

rem is a skill published in the GitHub repository khef-labs/khef-mac (2 stars, last pushed 18d ago), with no licence file. It adds 71 tokens to every session and 1,768 once invoked, about $0.0004 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 2026-08-31.

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