absorb

absorb is a skill for Claude Code, Codex from stvm8/agentValentine. It costs 21 tokens per session (1,356 once invoked), scanned A, original, no licence file.

A tool for reading a blog post, file, or other write-up and extracting hacking techniques into Playbooks.

In plain words
What is it for?
Use it to turn security research, tutorials, or notes into reusable Playbook entries.
Why use it?
It saves you from manually finding and recording useful techniques in technical material.

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/stvm8/agentvalentine/absorb
Any agent
npx skills add stvm8/agentValentine --skill absorb
Clone the repo
git clone --depth 1 https://github.com/stvm8/agentValentine

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 absorb

README.md
[![agentmods](https://agentmods.dev/badge/skills/stvm8/agentvalentine/absorb.svg)](https://agentmods.dev/skills/stvm8/agentvalentine/absorb)
Your own site
<a href="https://agentmods.dev/skills/stvm8/agentvalentine/absorb"><img src="https://agentmods.dev/badge/skills/stvm8/agentvalentine/absorb.svg" alt="Measured on agentmods" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,356 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00021 $0.01356
Opus 5 $0.00010 $0.00678
Sonnet 5 $0.00004 $0.00271
Haiku 4.5 $0.00002 $0.00136

Measured 3d ago against content hash b3d55ade03f6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

absorb scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

1. **Source Ingestion:** Use `curl -sL` (for URLs) or file-reading tools (for local PDFs/TXTs) to read the source. Strip HTML/fluff to save tokens.
valentine/.claude/skills/absorb/SKILL.md · 61 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. 3d ago First seen · 61 lines · 21 tokens per session scan A b3d55ade03f6

Subscribe to this mod's changes

absorb is a skill published in the GitHub repository stvm8/agentValentine (5 stars, last pushed 3mo ago), with no licence file. It adds 21 tokens to every session and 1,356 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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