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-marketing-plangit 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-marketing-plan)<a href="https://agentmods.dev/skills/jasoncolapietro/suede-creator-skills/suede-marketing-plan"><img src="https://agentmods.dev/badge/skills/jasoncolapietro/suede-creator-skills/suede-marketing-plan/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-marketing-plan"><img src="https://agentmods.dev/badge/skills/jasoncolapietro/suede-creator-skills/suede-marketing-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00103 | $0.04250 |
| Opus 5 | $0.00051 | $0.02125 |
| Sonnet 5 | $0.00021 | $0.00850 |
| Haiku 4.5 | $0.00010 | $0.00425 |
Grade A, and why
suede-marketing-plan 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 — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Suede Marketing Operating Plan
Suede produces a comprehensive marketing operating plan across Acquisition, Activation, Retention, Referral, and Revenue. Build the 12-month plan from the client's verified budget, team, stage, evidence, constraints, and public Suede execution routes, then cross-reference the suede-marketing-ideas library and embedded 17-section current-state rubric.
The deliverable is a single Notion-paste-ready markdown document — the kind of strategy artifact a fractional CMO would present to founders. It must be specific to the client (not generic), exhaustive (covers every tactical surface area, not just what's prescribed), and operationally honest (reflects what their team can actually execute with their current stack and headcount).
How this skill is invoked
/suede-marketing-plan {client-name-or-domain} — the argument is the client name
or domain; with no argument, prompt for it.
Read .agents/product-marketing.md first if it exists and ask only for what it
does not cover; see suede-product-marketing for path fallbacks.
On invocation, the skill reads .agents/suede-marketing-plans/{client-slug}/progress.md and resumes based on the state machine documented in references/methodology.md Step 1.1.2 (fresh → INIT → REVIEW → FINALIZE → finalized). Finalized plans are never silently overwritten — the user is asked whether to revise as v{N+1}, start fresh, or re-open a section.
The three phases
The full workflow lives in references/methodology.md. Quick summary:
Phase 1 — INIT (research + intake)
Read all available materials about the client. Pull data from any wired tools (Ahrefs, GA4 MCP, Stripe MCP, etc.). Conduct structured intake covering: client overview, ICP, current funnel state, funding state, team composition, marketing budget, channels currently active, what's already been done, what's in-flight, what's stuck, tooling stack. Save to research.md.
Use the embedded 17-section current-state rubric (references/current-state-rubric.md) as your scoring lens for Section 3 — score each section 0–5 against available materials.
What ships with it
16 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.
- agents/openai.yaml 626 B
- CARD.md 4.4 KB
- evals/evals.json 8.6 KB
- references/aarrr-framework.md 11 KB
- references/budget-planning.md 4.4 KB
- references/client-types.md 11 KB
- references/current-state-rubric.md 14 KB
- references/example-quietude.md 66 KB
- references/funding-stage-unlocks.md 3.6 KB
- references/growth-patterns.md 3.0 KB
- references/idea-cross-reference.md 25 KB
- references/measurement-framework.md 10 KB
- references/methodology.md 30 KB
- references/ops-stack-mapping.md 12 KB
- references/plan-template.md 20 KB
- references/team-and-agency-model.md 3.6 KB
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 · 276 lines · 103 tokens per session scan A 24e8ee9d3a9e
suede-marketing-plan is a skill published in the GitHub repository JasonColapietro/suede-creator-skills (135 stars, last pushed today), licensed MIT. It adds 103 tokens to every session and 4,250 once invoked, about $0.0005 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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