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.
git clone --depth 1 https://github.com/jpeslar1/john-peslar-ai-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/plugins/jpeslar1/john-peslar-ai-skills/sales-101)<a href="https://agentmods.dev/plugins/jpeslar1/john-peslar-ai-skills/sales-101"><img src="https://agentmods.dev/badge/plugins/jpeslar1/john-peslar-ai-skills/sales-101/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/plugins/jpeslar1/john-peslar-ai-skills/sales-101"><img src="https://agentmods.dev/badge/plugins/jpeslar1/john-peslar-ai-skills/sales-101.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
sales-101 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.
What it actually says
{
"name": "sales-101",
"description": "Agent J Sales 101 skills for a first paid automation client: ICP validation, offer design, first meetings, discovery, pricing, follow-up, objections, and weekly execution",
"version": "0.1.0",
"author": {
"name": "John Peslar AI",
"url": "https://www.youtube.com/@JohnPeslarAi"
},
"homepage": "https://github.com/jpeslar1/john-peslar-ai-skills",
"repository": "https://github.com/jpeslar1/john-peslar-ai-skills",
"license": "MIT",
"category": "productivity",
"keywords": [
"sales",
"first-client",
"automation-business",
"icp",
"offers",
"discovery",
"outreach",
"agent-j"
],
"source": "./",
"strict": false,
"skills": [
"./first-client-90-day-plan",
"./icp-validation-sprint",
"./first-client-offer-builder",
"./first-meeting-30-day-sprint",
"./sales-discovery-call-coach",
"./automation-pricing-and-close",
"./sales-follow-up-planner",
"./sales-objection-sorter",
"./weekly-sales-loop",
"./sales-pipeline-clinic"
]
}What it installs
The manifest is a name and a version. 10 skills travel with it, and installing the plugin installs all of them — 524 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill first-client-90-day-plan A 54 tokens
- Skill first-client-offer-builder A 54 tokens
- Skill first-meeting-30-day-sprint A 62 tokens
- Skill automation-pricing-and-close A 46 tokens
- Skill icp-validation-sprint A 55 tokens
- Skill sales-discovery-call-coach A 52 tokens
- Skill weekly-sales-loop A 50 tokens
- Skill sales-follow-up-planner A 48 tokens
- Skill sales-objection-sorter A 47 tokens
- Skill sales-pipeline-clinic A 56 tokens
What ships with it
1 file beside marketplace.json#sales-101 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.
- 2d ago First seen · 37 lines scan A a331dcfa80fe
sales-101 is a plugin published in the GitHub repository jpeslar1/john-peslar-ai-skills (5 stars, last pushed 2d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-09-09.
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