content-pipeline

content-pipeline is a skill for Codex from lov-team/akasha-grimoire. It costs 68 tokens per session (1,025 once invoked), scanned A, original, no licence file.

A workflow for turning Chinese content ideas, articles, research material, links, or unfinished projects into Xiaohongshu-style image-and-text content packages. Xiaohongshu is a Chinese social platform focused on lifestyle and product posts.

In plain words
What is it for?
Use it to discuss, clarify, diagnose, continue, or produce batches of Chinese social-media content with supporting cards and images.
Why use it?
It structures research, writing, images, and quality checks into a deliverable package instead of leaving the content as scattered notes.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to discuss, clarify, diagnose, continue, or produce batches of Chinese social-media content with supporting cards and images.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lov-team/akasha-grimoire/content-pipeline
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 lov-team/akasha-grimoire --skill content-pipeline
Clone the repo
git clone --depth 1 https://github.com/lov-team/akasha-grimoire

Made for: 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 content-pipeline

README.md
[![agentmods](https://agentmods.dev/badge/skills/lov-team/akasha-grimoire/content-pipeline/github.svg)](https://agentmods.dev/skills/lov-team/akasha-grimoire/content-pipeline)
Your own site
<a href="https://agentmods.dev/skills/lov-team/akasha-grimoire/content-pipeline"><img src="https://agentmods.dev/badge/skills/lov-team/akasha-grimoire/content-pipeline/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.

agentmods 80×15 button for content-pipeline

Your own site · 80×15
<a href="https://agentmods.dev/skills/lov-team/akasha-grimoire/content-pipeline"><img src="https://agentmods.dev/badge/skills/lov-team/akasha-grimoire/content-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,025 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 $0.00068 $0.01025
Opus 5 $0.00034 $0.00513
Sonnet 5 $0.00014 $0.00205
Haiku 4.5 $0.00007 $0.00103

Measured 10d ago against content hash 9a1058f5ee70, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

content-pipeline 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 10d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/build_card_previews.py, scripts/render_html_card.py, scripts/test_build_card_previews.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/content-pipeline/SKILL.md · 41 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. 10d ago First seen · 41 lines · 68 tokens per session scan A 9a1058f5ee70

Subscribe to this mod's changes

content-pipeline is a skill published in the GitHub repository lov-team/akasha-grimoire (10 stars, last pushed 2d ago), with no licence file. It adds 68 tokens to every session and 1,025 once invoked, about $0.0003 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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