trend-jacker

A decision and content-planning guide for connecting a current trend, meme, sound, format, or news story to a specific audience or niche.

In plain words
What is it for?
Use it to judge audience fit, relevance, brand risk, timing, and possible on-brand content angles when the trend context is supplied.
Why use it?
It helps avoid forcing an unrelated trend onto a brand and helps decide quickly whether the trend still has useful attention.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/moses607/socialforge/trend-jacker
Any agent
npx skills add moses607/socialforge --skill trend-jacker
Clone the repo
git clone --depth 1 https://github.com/moses607/socialforge

Made for: Claude Code, Codex.

Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,208 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00101 $0.01208
Opus 5 $0.00051 $0.00604
Sonnet 5 $0.00020 $0.00242
Haiku 4.5 $0.00010 $0.00121

Measured 2d ago against content hash cc13321b196f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

trend-jacker 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 2d 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/trend-jacker/SKILL.md · 62 lines

How it starts

The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Trend Jacker

Trends are a demand spike the algorithm is already pushing — riding one lets a small account borrow reach it hasn't earned yet, but only if the bridge to your value feels effortless and you arrive before the wave crests. Most trend-jacking fails two ways: forcing an irrelevant trend (cringe, no bridge) or shipping too late (decayed to zero). This skill has no live feed — the user or a paired search tool supplies the current trend and its context; you judge fit, generate on-brand angles, and push to shipped fast. The core discipline: kill bad fits ruthlessly, and when the fit is real, measure time-to-post in minutes, not days.

1. Relevance filter (kill fast)

Score the trend before writing a word. Rate 0-3 each:

  1. Audience overlap — do the trend's viewers overlap your target audience?
  2. Bridge strength — is there a natural one-sentence link to your niche/value, no stretch?
  3. Brand safety — does riding it risk your credibility, or clash with your values/voice? (Score 0 = veto, stop here.)
  4. Life left — is it still rising, or already peaked and everywhere? Sum /12. 8+ = go. 5-7 = only if you have a genuinely fresh angle. <5 = skip. A forced bridge is worse than silence — it costs trust you can't rebuild.

2. Angle match

Bridge the trend to your value, don't just react to it. Generate 3 angles using these bridges:

  1. Translate — apply the trend's structure/joke to a problem your audience has ("everyone's doing X; here's X but for ").
  2. Contrarian — the trend says A; your expertise says "actually, here's why B."
  3. Insider — what does this trend look like from inside your world? Show the angle only you can. Pick the angle with the strongest bridge + your unique credibility. Draft the hook in the first 2 seconds — the trend reference must land immediately so scrollers recognize it.

3. Speed + cringe-check

  1. Fast lane (trend → posted in <60 min): 5 min score → 5 min pick angle → 10 min write hook+script → 20 min shoot/assemble on existing assets → 10 min caption+sound+hashtags → 10 min cringe-check + post. Do NOT chase production polish; native/rough beats late-and-slick.
  2. Cringe-check (60-second gut test): Would you send this to a peer without wincing? Does the bridge feel earned or desperate? Are you late enough that it's already a meme about the trend being dead? Is the audio/reference used correctly? Any "no" → fix or kill.
  3. Ship same-day. Sounds and memes decay in hours-to-days; news-jacks decay in hours.

Read the full file on GitHub · 62 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. 2d ago First seen · 62 lines · 101 tokens per session scan A cc13321b196f

Subscribe to this mod's changes

trend-jacker is a skill published in the GitHub repository moses607/socialforge (2 stars, last pushed 1mo ago), licensed MIT. It adds 101 tokens to every session and 1,208 once invoked, about $0.0005 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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