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/Doris-Labs/sales-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/doris-labs/sales-skills/sales-skills)<a href="https://agentmods.dev/plugins/doris-labs/sales-skills/sales-skills"><img src="https://agentmods.dev/badge/plugins/doris-labs/sales-skills/sales-skills/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/doris-labs/sales-skills/sales-skills"><img src="https://agentmods.dev/badge/plugins/doris-labs/sales-skills/sales-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
sales-skills 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 10d 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-skills",
"description": "AI agent skills for Account Executives — discovery, deal execution, qualification, forecasting, and follow-up. Works standalone; best with Doris.",
"version": "0.1.0",
"author": "Doris Labs",
"skills": "./skills"
}
What it installs
The manifest is a name and a version. 30 skills travel with it, and installing the plugin installs all of them — 2,123 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill account-research A 75 tokens
- Skill discovery-planning A 85 tokens
- Skill expansion-upsell A 74 tokens
- Skill forecast-hygiene A 60 tokens
- Skill meddpicc-qualification A 68 tokens
- Skill multithreading A 68 tokens
- Skill mutual-action-plan A 75 tokens
- Skill pipeline-review A 72 tokens
- Skill prospecting A 70 tokens
- Skill renewal-churn-save A 62 tokens
- Skill social-selling A 74 tokens
- Skill stakeholder-mapping A 77 tokens
- Skill business-case-roi A 62 tokens
- Skill closing-plan A 70 tokens
- Skill cold-email A 65 tokens
- Skill competitive-battlecard A 76 tokens
- Skill crm-hygiene A 67 tokens
- Skill deal-review-prep A 81 tokens
- Skill deal-risk-review A 73 tokens
- Skill demo-strategy A 63 tokens
- Skill executive-briefing A 86 tokens
- Skill meeting-prep A 77 tokens
- Skill negotiation A 74 tokens
- Skill proposal A 74 tokens
- Skill sequence-writing A 72 tokens
- Skill post-call-followup A 59 tokens
- Skill champion-building A 69 tokens
- Skill objection-handling A 63 tokens
- Skill discovery-call A 63 tokens
- Skill sales-context A 69 tokens
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.
- 10d ago First seen · 8 lines scan A 59fa65b85a90
sales-skills is a plugin published in the GitHub repository Doris-Labs/sales-skills (3 stars, last pushed 3mo 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 2026-08-31.
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