social-media-assets

social-media-assets is a skill for Claude Code from landim32/awesome-ai-skills. It costs 63 tokens per session (994 once invoked), scanned A, original, MIT.

A skill for cataloguing and tracking media used in a social-media campaign. It records available or missing images and videos, derives reuse from campaign posts, and requests media that does not exist.

In plain words
What is it for?
Use it to assign media to posts, check previous usage, identify missing files, and create requests for media that someone else must produce.
Why use it?
It keeps campaign media organized and prevents assigning unavailable material or exceeding configured reuse limits.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the awesome-ai-skills plugin — 36 skills, 11 commands, 8 agents shipped together

Good fit Use it to assign media to posts, check previous usage, identify missing files, and create requests for media that someone else must produce.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/landim32/awesome-ai-skills/social-media-assets
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 landim32/awesome-ai-skills --skill social-media-assets
Clone the repo
git clone --depth 1 https://github.com/landim32/awesome-ai-skills

Made for: Claude Code.

Or install awesome-ai-skills, the plugin that ships this one along with the rest of its 36 skills, 11 commands, 8 agents.

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 social-media-assets

README.md
[![agentmods](https://agentmods.dev/badge/skills/landim32/awesome-ai-skills/social-media-assets/github.svg)](https://agentmods.dev/skills/landim32/awesome-ai-skills/social-media-assets)
Your own site
<a href="https://agentmods.dev/skills/landim32/awesome-ai-skills/social-media-assets"><img src="https://agentmods.dev/badge/skills/landim32/awesome-ai-skills/social-media-assets/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 social-media-assets

Your own site · 80×15
<a href="https://agentmods.dev/skills/landim32/awesome-ai-skills/social-media-assets"><img src="https://agentmods.dev/badge/skills/landim32/awesome-ai-skills/social-media-assets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 994 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 $0.00063 $0.00994
Opus 5 $0.00032 $0.00497
Sonnet 5 $0.00013 $0.00199
Haiku 4.5 $0.00006 $0.00099

Measured 12d ago against content hash d0449e6f3f1c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

social-media-assets 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 12d 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.

skills/social-media-assets/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Social Media Assets

Owns the media layer of a campaign under social-media/: what exists, what is missing, where media may come from, how often a piece may be reused, and how to request what is missing. The agent never creates media — the user produces all media; this skill only catalogs, tracks usage, and requisitions.

Literal artifact tokens (materiais.md, the Material: field, FALTANTE, the "A produzir / requisitar" section label) are kept verbatim; the generated files target a PT-BR audience. The documentation is in English.

Inventory and usage derived from posts

  • materiais.md is the inventory of what is available or missing per item — it does not store usage.
  • Usage is derived from the posts (single source, no duplication): before assigning media to a new post, Grep the Material: lines across **/posts/**/*.md to see which clips/images were already used and where. Never persist a usage log — recompute it from the posts.
  • Every post records the path of the media it uses in its Material: field.

Allowed media sources (hard rule)

You may locate, assign, and reference media only from the folders listed under "Pastas de mídia permitidas (fontes)" in config.md (each folder including all its subfolders). That table is the single source of truth — never hardcode the folder list here. When you need media, run Glob/Grep scoped to those paths. A file outside the allowed folders must not appear in a Material: field; if a post can only be satisfied by media outside them, treat it as FALTANTE and requisition it. To change the sources, the user edits the table in config.md.

Reuse policy (hard) — caps come from config

Each source folder has a reuse cap per network, defined in the cap table in config.md (the domain pack populates the values and the concrete folders). This skill applies the generic mechanism without hardcoding the values:

  • Cap "1 use" / forbidden beyond the cap (e.g. backstage, sensitive material). Hard cap — there is no ⚠️ FALTANTE fallback; reuse simply isn't allowed. If a 2nd assignment on the same network is needed, swap it for a different file or mark the post as pending fresh material.
  • Cap "N uses" with fallback (e.g. shorts/excerpts). Allows up to N distinct dates (same network) to share the material before any marker. From the (N+1)-th use onward, mark the post ⚠️ FALTANTE não-bloqueante (material reused, fresh would be ideal) and propagate to cronograma/agenda (social-media-scheduling).
  • Structural material (e.g. art/cover). Use as needed, but mark ⚠️ FALTANTE não-bloqueante when reuse forces same-material on consecutive posts on the same network.

Read the full file on GitHub · 72 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.

  1. 12d ago First seen · 72 lines · 63 tokens per session scan A d0449e6f3f1c

Subscribe to this mod's changes

social-media-assets is a skill published in the GitHub repository landim32/awesome-ai-skills (1 stars, last pushed 2mo ago), licensed MIT. It adds 63 tokens to every session and 994 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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