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 simbajigege/book2skills --skill jab-jab-right-hook-vaynerchukgit clone --depth 1 https://github.com/simbajigege/book2skillsWrote 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/simbajigege/book2skills/jab-jab-right-hook-vaynerchuk)<a href="https://agentmods.dev/skills/simbajigege/book2skills/jab-jab-right-hook-vaynerchuk"><img src="https://agentmods.dev/badge/skills/simbajigege/book2skills/jab-jab-right-hook-vaynerchuk/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/simbajigege/book2skills/jab-jab-right-hook-vaynerchuk"><img src="https://agentmods.dev/badge/skills/simbajigege/book2skills/jab-jab-right-hook-vaynerchuk.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 182 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 | $0.00040 | $0.02169 |
| Opus 5 | $0.00020 | $0.01085 |
| Sonnet 5 | $0.00008 | $0.00434 |
| Haiku 4.5 | $0.00004 | $0.00217 |
Grade A, and why
jab-jab-right-hook-vaynerchuk 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 13d 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 — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Jab, Jab, Jab, Right Hook — Social Marketing Skill
Knowledge source: Jab, Jab, Jab, Right Hook by Gary Vaynerchuk.
Overview
Use this skill to critique, design, or revise brand social media content so it earns attention natively before asking for conversion. It supports marketers, founders, creators, and agencies evaluating whether a post, campaign, or content calendar has enough value-giving "jabs" before the sales "right hook."
When to Use This Skill
Use this skill when the user asks:
- "Is this social post any good?"
- "How do I adapt this campaign for Instagram, X, Facebook, Pinterest, Tumblr, or mobile?"
- "Are we asking for the sale too soon?"
- "Rewrite this post so it feels native to the platform."
- "Audit our content calendar for jabs and right hooks."
Core Principle
Great social marketing earns the right to ask. Give native, context-aware, useful or entertaining micro-content repeatedly, then make a clear conversion ask only when the audience has been served and the platform context supports it.
Workflow Inventory
| Workflow | User question pattern | Inputs | Steps | Output | Independent trigger? | Distinct references? | Triage score | Should be subskill? | Reason |
|---|---|---|---|---|---|---|---|---|---|
| Native post critique | "Review this post" | Post text, asset, platform, goal | Check platform fit, interruption level, visual/text craft, ask | Scored critique and rewrite | Yes | Yes | 3 | No | Core workflow; dimensions must be applied together. |
| Jab/right-hook balance | "Are we selling too much?" | Calendar, funnel goal, audience state | Count value asks vs conversion asks; inspect sequencing | Jab/right-hook balance diagnosis | Yes | Yes | 3 | No | Same output format and same criteria as content critique. |
| Platform adaptation | "Make this work on Instagram/X/etc." | Base message, platforms, asset limits | Translate into platform-native language | Platform-specific variants | Yes | Yes | 3 | No | Independent but tightly coupled to native-content rules. |
| Campaign plan | "Plan a campaign" | Audience, product, channels, conversion goal | Sequence jabs, listening, timing, right hook | Campaign outline | Yes | No | 2 | No | Uses the same checks, just at calendar scale. |
What ships with it
4 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.
- 13d ago First seen · 210 lines · 40 tokens per session scan A ae46f72b636e
jab-jab-right-hook-vaynerchuk is a skill published in the GitHub repository simbajigege/book2skills (163 stars, last pushed 17d ago), licensed MIT. It adds 40 tokens to every session and 2,169 once invoked, about $0.0002 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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