angora-media

angora-media is a skill for Claude Code from Aysnc-Labs/angora. It costs 153 tokens per session (776 once invoked), scanned A, original, MIT.

An image-ingestion workflow that moves images from an inbox into a website's media system. It creates descriptive alternative text, records image dimensions, assigns a short unique filename, and adds a database record.

In plain words
What is it for?
Use it to process images in inbox/, place them in public/media/, generate alt text of up to 125 characters, and register them in the media database table.
Why use it?
It turns loose image files into registered media that the website can find and use, while preserving accessibility information.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to process images in inbox/, place them in public/media/, generate alt text of up to 125 characters, and register them in the media database table.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aysnc-labs/angora/angora-media
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 Aysnc-Labs/angora --skill angora-media
Clone the repo
git clone --depth 1 https://github.com/Aysnc-Labs/angora

Made for: Claude Code.

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 angora-media

README.md
[![agentmods](https://agentmods.dev/badge/skills/aysnc-labs/angora/angora-media/github.svg)](https://agentmods.dev/skills/aysnc-labs/angora/angora-media)
Your own site
<a href="https://agentmods.dev/skills/aysnc-labs/angora/angora-media"><img src="https://agentmods.dev/badge/skills/aysnc-labs/angora/angora-media/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 angora-media

Your own site · 80×15
<a href="https://agentmods.dev/skills/aysnc-labs/angora/angora-media"><img src="https://agentmods.dev/badge/skills/aysnc-labs/angora/angora-media.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 153 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 776 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 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00153 $0.00776
Opus 5.5 $0.00061 $0.00310
Sonnet 5.5 $0.00031 $0.00155
Haiku 4.5 $0.00015 $0.00078

Measured 2mo ago against content hash 55f599834b18, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

angora-media 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 2mo 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.

.claude/skills/angora-media/SKILL.md · 93 lines

What it actually says

Media

Process images from the inbox/ directory into the media system.

Before you start

  1. Check inbox contents — list inbox/ directory. If empty (only .gitkeep), report "Inbox is empty. Drop images into inbox/ and run this again."
  2. Check current media table — run:
node -e "
  import db from './src/data/db.ts';
  import { media } from './src/data/schema/tables/media.ts';
  const rows = db.select().from(media).all();
  console.table(rows);
"

Pipeline (for each image)

1. Visual analysis

Read the image file with the Read tool (Claude vision). Write alt text:

  • Describe what's in the image, under 125 characters
  • Don't start with "Image of" or "Photo of"
  • Use alt="" for purely decorative images (backgrounds, dividers)

2. Read dimensions

node -e "
  import { imageSize } from 'image-size';
  const result = imageSize('inbox/<filename>');
  console.log(JSON.stringify(result));
"

Skip for SVGs (scalable — dimensions not meaningful).

3. Generate unique filename

node -e "
  import { nanoid } from 'nanoid';
  console.log(nanoid(8));
"

Preserve the original extension. Result: V1StGXR8.jpg

4. Move file

mv inbox/<original> public/media/<nanoid>.<ext>

5. Insert into media table

node -e "
  import db from './src/data/db.ts';
  import { media } from './src/data/schema/tables/media.ts';
  db.insert(media).values({
    path: 'media/<nanoid>.<ext>',
    alt: '<alt text>',
    type: 'image',
    width: <width>,
    height: <height>,
    sourceName: '<original filename>',
  }).run();
  console.log('Inserted.');
"

6. Summary table

After processing all images, show a summary:

Original New path Dimensions Alt text
hero-bg.jpg media/V1StGXR8.jpg 1920x1080 Dark gradient background with subtle grid pattern

Rules

  • Supported types: jpg, jpeg, png, gif, webp, avif, svg
  • SVGs: skip dimension reading (scalable), set type to svg
  • Never delete inbox files without explicit permission — ask after processing
  • Skip non-image files — report them: "Found non-image files: [list]. These can be processed with the import skill (/angora-import)."
  • Process images one at a time to ensure accuracy of alt text
Files

What ships with it

1 file 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. 2mo ago First seen · 93 lines · 153 tokens per session scan A 55f599834b18

Subscribe to this mod's changes

angora-media is a skill published in the GitHub repository Aysnc-Labs/angora (6 stars, last pushed 6mo ago), licensed MIT. It adds 153 tokens to every session and 776 once invoked, about $0.0006 per session on Opus 5.5. 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.

Related

angora-media compared with skills from other repositories

angora-media next to 6 skills from other repositories
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