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.
npx skills add jeremylongworth-source/AgentSkills --skill brand-social-launch-packgit clone --depth 1 https://github.com/jeremylongworth-source/AgentSkillsWrote 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.
[](https://agentmods.dev/skills/jeremylongworth-source/agentskills/brand-social-launch-pack)<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/brand-social-launch-pack"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/brand-social-launch-pack/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.
<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/brand-social-launch-pack"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/brand-social-launch-pack.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00073 | $0.00621 |
| Opus 5 | $0.00036 | $0.00311 |
| Sonnet 5 | $0.00015 | $0.00124 |
| Haiku 4.5 | $0.00007 | $0.00062 |
Grade A, and why
brand-social-launch-pack 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Social Launch Pack
Core Workflow
- Identify the launch object, audience, primary CTA, proof asset, channels, launch window, owner, review requirements, and non-goals.
- Build a message hierarchy: one-line promise, buyer or reader problem, proof, CTA, secondary resource, and objection or trust notes.
- Plan owned-profile updates only when they support the launch. Keep the main profile link focused on the highest-priority conversion path.
- Create the launch package: hero post, image or video asset brief, pinned or featured content, reply/comment follow-up, article or long-form post, and platform-specific caption variants.
- Use
owned-social-profile-auditfor profile visibility and link checks,social-asset-productionfor visual assets, andai-video-prompt-packfor AI-generated video prompt packs when those tasks are in scope. - Add a publish checklist, verification plan, and post-launch follow-up queue.
Package Patterns
For a lightweight launch, produce:
- profile link recommendation
- primary post
- one image or video prompt
- pinned or featured post recommendation
- follow-up comment or reply
- verification checklist
For a full launch, also add:
- article or long-form post
- platform-specific variants
- content calendar for the first week
- repurposed short-form hooks
- owner-side checklist for manual publishing
Freshness Rule
Before giving platform-specific rules for profile links, pinned posts, Articles, Highlights, Shorts, Reels, verification, or asset dimensions, verify current official platform documentation when practical.
Safety Rules
- Do not fabricate traction, testimonials, endorsements, usage numbers, or customer claims.
- Do not publish, pin, schedule, boost, or change profile settings unless the user explicitly asks and account access supports it.
- Include disclosure, rights, and human-review notes for sponsored, affiliate, AI-generated, or reputation-sensitive launches.
- Keep launch copy honest about alpha, beta, preview, or experimental status.
What ships with it
2 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.
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.
- 11d ago First seen · 79 lines · 73 tokens per session scan A f0d847f88202
brand-social-launch-pack is a skill published in the GitHub repository jeremylongworth-source/AgentSkills (1 stars, last pushed 9d ago), licensed MIT. It adds 73 tokens to every session and 621 once invoked, about $0.0004 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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