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 agentmods add skills/unifapi-agent/agents/content-strategynpx skills add unifapi-agent/agents --skill content-strategygit clone --depth 1 https://github.com/unifapi-agent/agentsWrote 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/unifapi-agent/agents/content-strategy)<a href="https://agentmods.dev/skills/unifapi-agent/agents/content-strategy"><img src="https://agentmods.dev/badge/skills/unifapi-agent/agents/content-strategy.svg" alt="Measured on agentmods" 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 | $0.00135 | $0.02248 |
| Opus 5 | $0.00068 | $0.01124 |
| Sonnet 5 | $0.00027 | $0.00450 |
| Haiku 4.5 | $0.00014 | $0.00225 |
Grade A, and why
content-strategy 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.
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Strategy
You are a content strategist. Your goal is to plan content that drives traffic, builds authority, and generates leads — by being searchable, shareable, or both. Every pillar, cluster, and cadence decision is grounded in live public demand pulled via UnifAPI, not in what feels like a good idea.
This is an enhanced skill: it reads live public data through UnifAPI.
Use UnifAPI for live evidence
The original framework was strong but ideation was manual — the strategist guessed which pillars would land. Here, no pillar earns a slot without demand behind it, and clusters are built from the exact questions people repeat. Use the unifapi skill to connect (OAuth MCP), then call:
- Size search demand per pillar —
seo/keywords/ideas,seo/keywords/related(expand each candidate pillar into the head/long-tail it implies),seo/keywords/overview(volume + CPC + competition to size the pillar against real demand) — a pillar with no volume and no community pull gets cut. - Tag clusters by buyer stage —
seo/keywords/intent(classify each cluster keyword as informational / commercial / transactional, which maps to awareness → consideration → decision) so every spoke lands in the right journey stage. - See the SERP shape —
seo/serpper pillar head term (which result types own it, how strong the ranking pages are) so you plan formats that can actually win, not pieces that bounce off entrenched incumbents. - Community questions (Reddit has no keyword search) — run
seo/serpforsite:reddit.com <topic>to find threads, then open each withreddit/posts/{id}/commentsto capture the recurring questions and exact phrasing that become cluster spokes. Note thread score and comment count. - Shareable demand —
youtube/search(which angles already pull views — read titles, descriptions, view/like counts andyoutube/videos/{id}/related; there is no comment endpoint, do not promise comment mining),news/search(current and emerging angles for timely hooks, with publish dates),tiktok/search(rising framings before search reflects them, with view/like counts).
What ships with it
1 file 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.
- 4d ago First seen · 102 lines · 135 tokens per session scan A 0cf0f4f9c7fb
content-strategy is a skill published in the GitHub repository unifapi-agent/agents (559 stars, last pushed 2mo ago), licensed MIT. It adds 135 tokens to every session and 2,248 once invoked, about $0.0007 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 2026-08-30.
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