What is x-bookmark-absorb?

A workflow for turning saved posts from X, formerly Twitter, into connected pages and references in a wiki. It extracts and categorizes bookmarks, then updates related pages, indexes, and links.

Use it to absorb a date range of X bookmarks into a searchable knowledge graph of tools, people, design ideas, and other topics.

It prevents useful bookmarks from remaining isolated entries that cannot be found or connected to the rest of the wiki.

x-bookmark-absorb — Skill for Claude Code and Codex by Kevin-Liu-01

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 Kevin-Liu-01/Agent-Machines --skill x-bookmark-absorb

Clone the repo

git clone --depth 1 https://github.com/Kevin-Liu-01/Agent-Machines

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/x-bookmark-absorb/github.svg)](https://agentmods.dev/skills/kevin-liu-01/agent-machines/x-bookmark-absorb)

Your own site

<a href="https://agentmods.dev/skills/kevin-liu-01/agent-machines/x-bookmark-absorb"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/x-bookmark-absorb/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/kevin-liu-01/agent-machines/x-bookmark-absorb"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/x-bookmark-absorb.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,269 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. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium MCP Rug Pull · line 87
npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.

Fix: Pin the version: npx @scope/[email protected]

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00093	$0.01269
Opus 5	$0.00046	$0.00634
Sonnet 5	$0.00019	$0.00254
Haiku 4.5	$0.00009	$0.00127

Measured 9d ago against content hash 167d559cf202, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

x-bookmark-absorb 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 9d 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.

knowledge/skills/x-bookmark-absorb/SKILL.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

X Bookmark Deep Absorption

Transform raw X bookmark data into full wiki graph integration — not just hub-page entries.

The Problem This Solves

Shallow absorption: bookmarks get added to x-bookmarks-*.md hub pages but never propagate to dedicated tool/person pages, cross-references, resolvers, or the index. The wiki stays disconnected from the signal.

When to Run

After ft sync + ./scripts/sync-x-bookmarks.sh adds new bookmarks
When Kevin says "absorb bookmarks" or "process bookmarks"
During source-compile automation runs targeting x-bookmarks
When Kevin says bookmarks from a date range need processing

The Pipeline

Phase 1: Extract and Categorize

# Parse bookmarks.jsonl for the target date range
# Categorize each bookmark:
#   TOOL — new library, CLI, framework, skill, platform
#   DESIGN — typography, color, animation, layout, UI pattern
#   PERSON — notable individual (2+ mentions or high-signal take)
#   PHILOSOPHY — strong opinion, thesis, counter-signal
#   AI — agent tools, model announcements, agent UX
#   OTHER — lifestyle, ephemeral, low-signal

For each bookmark, extract: date, author handle+name, full text, links, engagement (likes, bookmarks), media type.

Phase 2: Hub Page Entries (Level 1)

Route each bookmark to the correct hub page:

Category	Hub Page
AI/agents	`wiki/tools/x-bookmarks-ai-agents.md`
Dev tools	`wiki/tools/x-bookmarks-dev-tools.md`
React/Next.js	`wiki/tools/x-bookmarks-react-nextjs.md`
CSS/frontend	`wiki/tools/x-bookmarks-css-frontend.md`
Design/UI	`wiki/design/x-bookmarks-design-ui.md`
3D/shaders	`wiki/tools/x-bookmarks-3d-shaders.md`
Career/biz	`wiki/Career/x-bookmarks-career.md`
Dedalus	`wiki/projects/x-bookmarks-dedalus.md`

Format: ### Title block with quoted tweet, author attribution, date, engagement, and a **Takeaway:** line linking to relevant wiki pages.

Phase 3: Dedicated Pages (Level 2)

A bookmark gets a dedicated page when ANY of these are true:

Read the full file on GitHub · 118 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.

9d ago First seen · 118 lines · 93 tokens per session scan A 167d559cf202

Subscribe to this mod's changes

x-bookmark-absorb is a skill published in the GitHub repository Kevin-Liu-01/Agent-Machines (29 stars, last pushed today), licensed MIT. It adds 93 tokens to every session and 1,269 once invoked, about $0.0005 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 2026-09-03.

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