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/hyperfx-ai/marketing-skills/hyper-clinpx skills add hyperfx-ai/marketing-skills --skill hyper-cligit clone --depth 1 https://github.com/hyperfx-ai/marketing-skillsWrote 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/hyperfx-ai/marketing-skills/hyper-cli)<a href="https://agentmods.dev/skills/hyperfx-ai/marketing-skills/hyper-cli"><img src="https://agentmods.dev/badge/skills/hyperfx-ai/marketing-skills/hyper-cli.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 | $0.00058 | $0.01690 |
| Opus 5 | $0.00029 | $0.00845 |
| Sonnet 5 | $0.00012 | $0.00338 |
| Haiku 4.5 | $0.00006 | $0.00169 |
Grade A, and why
hyper-cli 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 — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hyper CLI
Use hyperai to run Hyper tools from a terminal. This skill is a bridge for using the marketing skills in this repo through the CLI.
Marketing skills usually name the MCP/raw tools, such as gmail_messages_send or meta_ads_ad_accounts_list. The CLI also exposes friendly aliases, such as gmail messages send or meta-ads ad-accounts list. Pick one surface per call.
Requirements
- Hyper MCP configured for the workspace. https://app.hyperfx.ai/mcp
- Required integrations connected at https://app.hyperfx.ai/apps. Use the sibling marketing skill to know which integrations are required.
- Hyper CLI installed and authenticated. Verify with
hyperai info.
If hyperai info fails, stop and tell the user to authenticate the CLI before calling tools.
Tool surface
| Need | Command |
|---|---|
| Confirm auth/workspace | hyperai info |
| Find tools by intent or raw MCP name | hyperai search "<intent or raw tool name>" --json --signature |
| Browse friendly aliases in a namespace | hyperai describe <namespace> |
| Inspect a friendly alias schema | hyperai describe <alias path> --parameters |
| Call a friendly alias | hyperai call <alias path> --json '{...}' |
| Inspect a raw toolkit tool | hyperai tools describe <toolkit> <tool_name> --parameters |
| Call a raw toolkit tool | hyperai tools call <toolkit> <tool_name> --json '{...}' |
| List connected accounts | hyperai tools list --connected or hyperai connections list |
| Switch active account | hyperai connections use <toolkit> <auth-id> |
Critical rule: aliases vs raw tools
Friendly alias path:
hyperai describe gmail messages send --parameters
hyperai call gmail messages send --json '{"to":"[email protected]","subject":"Hello","body":"Hi"}'
Raw toolkit path:
hyperai tools describe gmail gmail_messages_send --parameters
hyperai tools call gmail gmail_messages_send --json '{"to":"[email protected]","subject":"Hello","body":"Hi"}'
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 · 197 lines · 58 tokens per session scan A 2cb2b382e30b
hyper-cli is a skill published in the GitHub repository hyperfx-ai/marketing-skills (82 stars, last pushed 9d ago), licensed MIT. It adds 58 tokens to every session and 1,690 once invoked, about $0.0003 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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