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 JasonColapietro/suede-creator-skills --skill suede-sales-enablementgit clone --depth 1 https://github.com/JasonColapietro/suede-creator-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/jasoncolapietro/suede-creator-skills/suede-sales-enablement)<a href="https://agentmods.dev/skills/jasoncolapietro/suede-creator-skills/suede-sales-enablement"><img src="https://agentmods.dev/badge/skills/jasoncolapietro/suede-creator-skills/suede-sales-enablement/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/jasoncolapietro/suede-creator-skills/suede-sales-enablement"><img src="https://agentmods.dev/badge/skills/jasoncolapietro/suede-creator-skills/suede-sales-enablement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Excessive Agency · line 355 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00084 | $0.03423 |
| Opus 5 | $0.00042 | $0.01711 |
| Sonnet 5 | $0.00017 | $0.00685 |
| Haiku 4.5 | $0.00008 | $0.00342 |
Grade A, and why
suede-sales-enablement 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 9d 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 — 369 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Suede Sales Enablement
Suede Sales Enablement turns verified positioning, proof, and deal context into rep-usable decks, one-pagers, objection guides, demos, and playbooks. Every asset separates sourced claims from modeled value and remains a draft until its audience and version are approved.
Before Starting
Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
-
Value Proposition & Differentiators
- What do you sell and who is it for?
- What makes you different from the next best alternative?
- What outcomes can you prove?
-
Sales Motion
- How do you sell? (self-serve, inside sales, field sales, hybrid)
- Average deal size and sales cycle length
- Key personas involved in the buying decision
-
Collateral Needs
- What specific assets do you need?
- What stage of the funnel are they for?
- Who will use them? (AE, SDR, champion, prospect)
-
Current State
- What materials exist today?
- What's working and what's not?
- What do reps ask for most?
Core Principles
Sales Uses What Sales Trusts
Involve reps in creation. Use their language, not marketing's. If reps rewrite your deck before sending it, you wrote the wrong deck. Test drafts with your top performers first.
Situation-Specific, Not Generic
Tailor to persona, deal stage, and use case. A deck for a CTO should look different from one for a VP of Sales. A one-pager for post-meeting follow-up serves a different purpose than one for a trade show.
Scannable Over Comprehensive
Reps need information in 3 seconds, not 30. Use bold headers, short bullets, and visual hierarchy. If a rep can't find the answer mid-call, the doc has failed.
What ships with it
7 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.
- 9d ago First seen · 369 lines · 84 tokens per session scan A 87d7220628a7
suede-sales-enablement is a skill published in the GitHub repository JasonColapietro/suede-creator-skills (135 stars, last pushed today), licensed MIT. It adds 84 tokens to every session and 3,423 once invoked, about $0.0004 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 2026-09-03.
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