facebook-research

facebook-research is a skill for Claude Code, Codex from PostPlusAI/postplus-skills. It costs 32 tokens per session (1,829 once invoked), scanned A, original, no licence file.

A tool for researching publicly available Facebook pages, profiles, groups, posts, reels, comments, ads, events, and Marketplace listings.

In plain words
What is it for?
It is for checking public communities and accounts, studying content and comments, reviewing ads and events, and examining public listings.
Why use it?
It helps support marketing, creator, community, competitor, or sales-funnel decisions with information found on Facebook.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It is for checking public communities and accounts, studying content and comments, reviewing ads and events, and examining public listings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/postplusai/postplus-skills/facebook-research
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 PostPlusAI/postplus-skills --skill facebook-research
Clone the repo
git clone --depth 1 https://github.com/PostPlusAI/postplus-skills

Made for: Claude Code, 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 facebook-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/postplusai/postplus-skills/facebook-research/github.svg)](https://agentmods.dev/skills/postplusai/postplus-skills/facebook-research)
Your own site
<a href="https://agentmods.dev/skills/postplusai/postplus-skills/facebook-research"><img src="https://agentmods.dev/badge/skills/postplusai/postplus-skills/facebook-research/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 facebook-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/postplusai/postplus-skills/facebook-research"><img src="https://agentmods.dev/badge/skills/postplusai/postplus-skills/facebook-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,829 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. Third-party audits
  • Socket pass 15 Oct 2026
  • Snyk warn 15 Oct 2026
How audits are shown
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 $0.00032 $0.01829
Opus 5.5 $0.00013 $0.00732
Sonnet 5.5 $0.00006 $0.00366
Haiku 4.5 $0.00003 $0.00183

Measured 4d ago against content hash ce719ed8b25b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

facebook-research 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 4d 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/20-research/facebook-research/SKILL.md · 138 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. 4d ago Changed ce719ed8b25b
  2. 9d ago Changed · -3 lines ee9b4553fa82
  3. 12d ago Changed · +4 lines ed3548b42f4c
  4. 14d ago Changed 434ec62ac3de
  5. 17d ago Changed a1604734776b
  6. 1mo ago Changed · +19 lines · -20 tokens per session defeea9b4b5c
  7. 1mo ago Changed · +6 lines 94f9d8eec774
  8. 1mo ago First seen · 112 lines · 52 tokens per session scan A 55922ceda505

Subscribe to this mod's changes

facebook-research is a skill published in the GitHub repository PostPlusAI/postplus-skills (27 stars, last pushed 2d ago), with no licence file. It adds 32 tokens to every session and 1,829 once invoked, about $0.0001 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 2026-08-30.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens