blog-cover-poster

blog-cover-poster is a skill for Codex from digoal/blog. It costs 158 tokens per session (1,440 once invoked), scanned C, original, GPL-2.0.

A tool that turns an article, blog post, notes, or other source material into a vertical image series: one cover and several slides explaining the main points. It renders the slides as PNG image files.

In plain words
What is it for?
Use it to create cover art, educational image carousels, poster series, or vertical social-media graphics from written material.
Why use it?
It removes the need to design each cover and explainer slide separately. The source content is reshaped into a consistent visual sequence for sharing.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to create cover art, educational image carousels, poster series, or vertical social-media graphics from written material.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/digoal/blog/blog-cover-poster
View source ↗ digoal/blog
About the project

digoal/blog is a large collection of Chinese-language articles, courses, videos, and practical learning materials about databases, especially PostgreSQL and related systems, along with topics such as AI, open source, business, and finance. It is for database administrators, developers, architects, and others learning database technologies and their applications.

digoal/blog · 8,569 stars · on GitHub

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 digoal/blog --skill blog-cover-poster
Clone the repo
git clone --depth 1 https://github.com/digoal/blog

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 blog-cover-poster

README.md
[![agentmods](https://agentmods.dev/badge/skills/digoal/blog/blog-cover-poster/github.svg)](https://agentmods.dev/skills/digoal/blog/blog-cover-poster)
Your own site
<a href="https://agentmods.dev/skills/digoal/blog/blog-cover-poster"><img src="https://agentmods.dev/badge/skills/digoal/blog/blog-cover-poster/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 blog-cover-poster

Your own site · 80×15
<a href="https://agentmods.dev/skills/digoal/blog/blog-cover-poster"><img src="https://agentmods.dev/badge/skills/digoal/blog/blog-cover-poster.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 158 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,440 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. 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 $0.00158 $0.01440
Opus 5 $0.00079 $0.00720
Sonnet 5 $0.00032 $0.00288
Haiku 4.5 $0.00016 $0.00144

Measured 13d ago against content hash 58b625b27b2d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade C, and why

blog-cover-poster scanned grade C 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 13d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/render.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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

6. **Clean up** the scratch dir (`rm -rf "$WORK"`). Only the `N.png` files remain in the project dir — that is the deliverable. The source directory is never touched.
skills/blog-cover-poster/SKILL.md · 73 lines

The source is not reproduced here

Licensed GPL-2.0

The repository is licensed GPL-2.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

5 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.

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. 13d ago First seen · 73 lines · 158 tokens per session scan C 58b625b27b2d

Subscribe to this mod's changes

blog-cover-poster is a skill published in the GitHub repository digoal/blog (8,569 stars, last pushed yesterday), licensed GPL-2.0. It adds 158 tokens to every session and 1,440 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

dlt-connector

Connect SaaS data (HubSpot, Stripe, Salesforce, GitHub, Slack, etc.) to Wren Engine for SQL analysis. Guides the user through the full flow: install dlt, pick a SaaS source, set up credentials, run the data pipeline into DuckDB, then auto-generate a Wren semantic project from the loaded data. Use this skill whenever…

Canner/WrenAI · 158 tokens

wren

Wren CLI for AI agents — a semantic SQL layer over 22+ databases (Postgres, MySQL, BigQuery, Snowflake, Spark, …). The actual workflow guides live inside the wren CLI itself; this is just a discovery stub. Use whenever the user asks a data question (how many, show me, top N, compare, trend, breakdown, metric, revenue…

Canner/WrenAI · 315 tokens

convex-migration-helper

Plans and executes safe Convex schema and data migrations using the widen-migrate-narrow workflow and the @convex-dev/migrations component. Use this skill when a deployment fails schema validation, existing documents need backfilling, fields need adding or removing or changing type, tables need splitting or merging…

get-convex/convex-backend · 102 tokens

database-engineer

!cat skills/shared/protocols/ux-protocol.md 2>/dev/null || true !cat skills/shared/protocols/input-validation.md 2>/dev/null || true !cat skills/shared/protocols/tool-efficiency.md 2>/dev/null || true !cat .production-grade.yaml 2>/dev/null || echo "No config — using defaults" !cat .forgewright/codebase-context.md…

buiphucminhtam/forgewright · 45 tokens

windows-automation

Best-in-class Windows automation using Python (UI Automation) and AutoHotkey.

navig-run/core · 20 tokens

whodb

Query and explore databases via MCP. Use when the user asks to inspect schemas, run SQL, browse tables, analyze data quality, generate ER diagrams, or work with PostgreSQL, MySQL, MariaDB, TiDB, SQLite, MongoDB, Redis, ClickHouse, Elasticsearch, or DuckDB.

clidey/whodb · 64 tokens