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.
npx skills add 2233admin/design-pipeline --skill x-bookmark-quote-postsgit clone --depth 1 https://github.com/2233admin/design-pipelineWrote 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.
[](https://agentmods.dev/skills/2233admin/design-pipeline/x-bookmark-quote-posts)<a href="https://agentmods.dev/skills/2233admin/design-pipeline/x-bookmark-quote-posts"><img src="https://agentmods.dev/badge/skills/2233admin/design-pipeline/x-bookmark-quote-posts/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.
<a href="https://agentmods.dev/skills/2233admin/design-pipeline/x-bookmark-quote-posts"><img src="https://agentmods.dev/badge/skills/2233admin/design-pipeline/x-bookmark-quote-posts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00079 | $0.01967 |
| Opus 5 | $0.00039 | $0.00983 |
| Sonnet 5 | $0.00016 | $0.00393 |
| Haiku 4.5 | $0.00008 | $0.00197 |
Grade A, and why
x-bookmark-quote-posts 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 6d 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.
This is a copy
100% identical to x-bookmark-quote-posts — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
X Bookmark Quote Posts
Overview
Turn a user's latest X bookmarks into a dated quote-post queue. The output should feel like a specific person or brand thinking in public from lived experience, not like generic AI commentary.
Start
Work from the current content repo unless the user names another repo. If no repo is active, ask for the target workspace before writing files.
Before collecting:
- Read
AGENTS.md, if present or supplied in the prompt. - Check
git status --shortearly. Content workspaces are often dirty; keep changes scoped. - Read the latest existing bookmark quote-post file for continuity when one exists. Common locations include
data/x-growth/bookmark-quote-posts/*.md,data/x/bookmark-quote-posts/*.md, or a user-specified content queue. Do not use generated drafts as the primary voice source. - Use the Codex in-app browser only for X. Do not use Chrome.
- Do not post, reply, quote, like, retweet, DM, follow, or mutate X in any way.
If X is logged out, CAPTCHA-blocked, or the in-app browser cannot attach, stop and report the exact blocker. Ask the user to sign in only when the browser session requires it.
Calibrate Voice From 100 Posts
Calibrate before collecting bookmarks. Identify the target account from the request or active X profile, then open the account and X's Latest search:
https://x.com/<handle>
https://x.com/search?q=from%3A<handle>&src=typed_query&f=live
Collect the latest 100 authored posts when X exposes enough history. Include original posts, replies, and quote posts; exclude pure reposts written by someone else. For each post, retain:
- authored post URL and timestamp
- full authored text
- whether it is a reply and whether it contains a quoted source
- quoted source URL for quote posts
- whether the timeline text was truncated
Expand every truncated authored post directly. If X prevents complete expansion, report the incomplete count instead of silently treating fragments as full posts. Do not confuse quoted-source text with the user's own text. If fewer than 100 authored posts are available, use all available posts and report the actual sample size and date range.
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 174 lines · 79 tokens per session scan A d3f625cc3bb8
x-bookmark-quote-posts is a skill published in the GitHub repository 2233admin/design-pipeline (9 stars, last pushed 6d ago), licensed MIT. It adds 79 tokens to every session and 1,967 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to x-bookmark-quote-posts, differing in 0 lines, and is treated as a copy.
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