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-community-marketinggit 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-community-marketing)<a href="https://agentmods.dev/skills/jasoncolapietro/suede-creator-skills/suede-community-marketing"><img src="https://agentmods.dev/badge/skills/jasoncolapietro/suede-creator-skills/suede-community-marketing/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-community-marketing"><img src="https://agentmods.dev/badge/skills/jasoncolapietro/suede-creator-skills/suede-community-marketing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
SkillSpector: 1 finding, up to low
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 →
- low Excessive Agency · line 223 Skill's behavior or capabilities extend beyond its stated purpose. Scope creep allows an agent to perform actions unrelated to its documented functionality, increasing the attack surface.Fix: Limit the skill's scope to its documented purpose. Remove instructions that enable the agent to perform actions outside its stated functionality.
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 | $0.00089 | $0.02582 |
| Opus 5 | $0.00044 | $0.01291 |
| Sonnet 5 | $0.00018 | $0.00516 |
| Haiku 4.5 | $0.00009 | $0.00258 |
Grade A, and why
suede-community-marketing 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 12d 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 — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Suede Community Marketing
Use this Suede community-growth playbook to create genuine member value and measurable business outcomes without manufacturing engagement.
Before You Start
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.
Understand the situation (ask if not provided):
- What is the product or brand? — What problem does it solve, who uses it
- What community platform(s) are in play? — Discord, Slack, Circle, Reddit, Facebook Groups, forum, etc.
- What stage is the community at? — Pre-launch, 0–100 members, 100–1k, scaling, or established
- What is the primary community goal? — Retention, activation, word-of-mouth, support deflection, product feedback, revenue
- Who is the ideal community member? — Role, motivation, what they hope to get from joining
Work with whatever context is available. If key details are missing, make reasonable assumptions and flag them.
Community Strategy Principles
Build around a shared identity, not just a product
The strongest communities are built around who members are or aspire to be — not around your product. Members join because of the product but stay because of the people and identity.
Example: r/homelab — the identity is tinkerers who self-host, and every ritual, channel, and recognition mechanic in it reinforces that self-image.
Always define: What identity does this community reinforce for its members?
Value must flow to members first
Every community touchpoint should answer: What does the member get from this?
- Exclusive knowledge or early access
- Peer connections they can't get elsewhere
- Recognition and status within a group they respect
- Direct influence on the product roadmap
- Career opportunities, visibility, or credibility
What ships with it
3 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.
- 12d ago First seen · 234 lines · 89 tokens per session scan A 7a05962c4231
suede-community-marketing is a skill published in the GitHub repository JasonColapietro/suede-creator-skills (135 stars, last pushed today), licensed MIT. It adds 89 tokens to every session and 2,582 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 2026-08-30.
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