social-media-ops

social-media-ops is a skill for Claude Code from shalintripathi/saas-marketing-agents. It costs 476 tokens per session (6,224 once invoked), scanned A, original, MIT.

A set of operating guidelines for managing a B2B SaaS brand across social networks such as LinkedIn, X, YouTube, and Reddit. It uses a brand-context file to keep messages, evidence, tone, and compliance rules consistent.

In plain words
What is it for?
Use it to plan social content, manage communities, work with creators, develop YouTube material, and review a creator before paying them.
Why use it?
It reduces inconsistent publishing and unsupported claims across different social channels. It also makes missing brand information visible before content or engagement work begins.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the saas-marketing plugin — 19 skills, 91 agents shipped together

Good fit Use it to plan social content, manage communities, work with creators, develop YouTube material, and review a creator before paying them.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/shalintripathi/saas-marketing-agents/social-media-ops
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 shalintripathi/saas-marketing-agents --skill social-media-ops
Clone the repo
git clone --depth 1 https://github.com/shalintripathi/saas-marketing-agents

Made for: Claude Code.

Or install saas-marketing, the plugin that ships this one along with the rest of its 19 skills, 91 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-ops

README.md
[![agentmods](https://agentmods.dev/badge/skills/shalintripathi/saas-marketing-agents/social-media-ops/github.svg)](https://agentmods.dev/skills/shalintripathi/saas-marketing-agents/social-media-ops)
Your own site
<a href="https://agentmods.dev/skills/shalintripathi/saas-marketing-agents/social-media-ops"><img src="https://agentmods.dev/badge/skills/shalintripathi/saas-marketing-agents/social-media-ops/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-ops

Your own site · 80×15
<a href="https://agentmods.dev/skills/shalintripathi/saas-marketing-agents/social-media-ops"><img src="https://agentmods.dev/badge/skills/shalintripathi/saas-marketing-agents/social-media-ops.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 476 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,224 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 $0.00476 $0.06224
Opus 5.5 $0.00190 $0.02490
Sonnet 5.5 $0.00095 $0.01245
Haiku 4.5 $0.00048 $0.00622

Measured 6d ago against content hash 7e15dca72265, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

social-media-ops 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 6d 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.

plugins/saas-marketing/skills/social-media-ops/SKILL.md · 431 lines

How it starts

The opening of the file, as written. The whole thing — 431 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Social Media Operations Skill

Step 0 (always first): Load brand context

Before producing any deliverable, look for a brand-context.md file in the user's project root (also check ./.claude/brand-context.md and ./docs/brand-context.md). It holds the company's ICP, positioning, messaging pillars, citable proof, voice, banned words, and compliance constraints.

  • If it exists: read it in full and treat it as binding for this run. Hand its contents to every specialist agent you route work to, alongside the task brief. Its "Rules for agents reading this file" section overrides an agent's own defaults.
  • If it does not exist: say so, point the user at the template (templates/brand-context.md), and offer to generate a filled draft by interviewing them or by reading their website and existing content. Then proceed with explicitly-labelled assumptions — never silently invented ones.

Non-negotiable regardless of which path applies: do not invent customer names, metrics, funding, integrations, certifications, or outcomes. Only proof recorded in brand-context.md (or supplied directly in the request) may be used as fact. Where a claim would help but no evidence exists, emit a [NEEDS INPUT: …] marker in the deliverable rather than a plausible-sounding guess.


What This Is

The Social Media Operations skill coordinates a team of 8 specialist agents to build brand visibility, drive engagement, and establish authority across social platforms. From strategic LinkedIn thought leadership and community building to YouTube content production and influencer partnerships, this team executes across every major social channel. This skill enables you to leverage organic social as a sustainable acquisition and brand-building channel, reducing dependence on paid media.

The Team: 8 Specialist Agents

# Agent File What They Do
1 LinkedIn Strategist agents/social-linkedin-strategist.md Develops LinkedIn strategy, creates content calendar, writes thought leadership posts, manages engagement, and builds company and employee presence. Designs the first-hour distribution window, and owns the subscription surfaces that compound — whether to run a LinkedIn newsletter and how to scope it (the scope and the subscribers cannot be merged later), LinkedIn Events and the three permissions one Event produces (viewed / registered / marketing-consented), and Live eligibility checked in the planning window rather than launch week. Identifies influencer targets and partnership opportunities.
2 Twitter/X Strategist agents/social-twitter-strategist.md Manages Twitter/X brand presence, creates daily tweet content, builds industry conversations, engages with communities, and identifies viral opportunities. Handles both brand and executive accounts.
3 YouTube Producer agents/social-youtube-producer.md Plans YouTube content strategy, creates video scripts, outlines production workflows, manages video SEO, and builds subscriber growth. Handles long-form and short-form video (Shorts).
4 Reddit Specialist agents/social-reddit-specialist.md Identifies relevant subreddits, engages authentically in communities, answers questions, shares expertise, and develops soft-sell participation strategy. Prevents spamming while building credibility. Also owns Quora answering, decided per engine (Google AI Overviews cite Quora; ChatGPT and Perplexity largely do not).
5 Community Builder agents/social-community-builder.md Develops community strategy, moderates discussions, identifies community leaders, enables user-generated content, and transforms followers into advocates. Manages Discord, Slack communities, forums. Also holds the account estate: the register of who can post or administer every company social account and community workspace, two people able to reach the top role on every surface, recovery email/phone and MFA held by the company, the social step in every departure (ownership transferred before any account is deleted), and a risk-tiered publishing gate with a tested pause switch.
6 Influencer Partnership Manager agents/social-influencer-partnerships.md Identifies relevant creators and verifies their audience before you pay for it — median engagement rather than the quoted mean, comment substance, inflated or pod-driven engagement, sponsored-post history. Structures and negotiates the deal (flat fee vs. per-qualified-click, with the qualified click defined in writing), operates the FTC disclosure and post-publication monitoring the advertiser is liable for, and tracks partnership performance in pipeline.
7 Podcast & Audio Strategist agents/social-podcast-strategist.md Decides whether the company should run a show at all, builds the guest list as an account plan, books the guest tour on other people's shows and qualifies each one on public evidence (RSS feed, guest history, review wall, IAB certification, Listen Score) rather than self-reported downloads, produces proofread transcripts and show notes, and holds the rights, consent and FTC disclosure register. Measures pipeline, never downloads.
8 Social Listening Analyst agents/social-listening-analyst.md Runs social listening as a measurement instrument, not a mention feed: a query book where every query passes a precision check before it goes live, a coverage map that states which platforms and private channels the tooling cannot see (and re-checks platform access such as the post-CrowdTangle Meta Content Library and Reddit's Data API approval), automated sentiment validated against a hand-coded sample, social share of voice with its competitor set, source set, unit and window written down, every finding traced to the post, comment or timestamp actually inspected (a search snippet or link preview is discovery, not evidence; reposts count once; an empty search is an access gap, not absence), alert thresholds set against each query's own baseline, and a routing table that sends every signal (crisis, competitor, buyer language, public buying intent) to the one agent who acts on it. Detects and routes; never replies or pitches.

Read the full file on GitHub · 431 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. 6d ago Changed · +10 tokens per session 7e15dca72265
  2. 22d ago Changed · +2 lines · +10 tokens per session db9534d57ed9
  3. 1mo ago Changed · +9 lines · +115 tokens per session e8381c60621f
  4. 1mo ago Changed · +2 lines · +61 tokens per session a9f14a8a4014
  5. 1mo ago Changed · +2 lines · +58 tokens per session e32b62554820
  6. 1mo ago Changed · +4 lines · +60 tokens per session 209e7e09f37c
  7. 1mo ago First seen · 412 lines · 162 tokens per session scan A c7539647a092

Subscribe to this mod's changes

social-media-ops is a skill published in the GitHub repository shalintripathi/saas-marketing-agents (30 stars, last pushed yesterday), licensed MIT. It adds 476 tokens to every session and 6,224 once invoked, about $0.0019 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 2026-09-04.