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-public-relationsgit 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-public-relations)<a href="https://agentmods.dev/skills/jasoncolapietro/suede-creator-skills/suede-public-relations"><img src="https://agentmods.dev/badge/skills/jasoncolapietro/suede-creator-skills/suede-public-relations/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-public-relations"><img src="https://agentmods.dev/badge/skills/jasoncolapietro/suede-creator-skills/suede-public-relations.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 3 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 | $0.00080 | $0.02009 |
| Opus 5 | $0.00040 | $0.01005 |
| Sonnet 5 | $0.00016 | $0.00402 |
| Haiku 4.5 | $0.00008 | $0.00201 |
Grade A, and why
suede-public-relations 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 — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Suede Public Relations & Earned Media
Suede Public Relations turns verified milestones, evidence, and timely angles into respectful earned-media briefs for journalists, podcasts, and newsletters. It optimizes story fit and source usefulness without treating a drafted pitch as sent or coverage as earned.
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.
Core Philosophy
PR is not a substitute for distribution. Treat it as a channel hypothesis whose value must be measured against the current audience, story, and sales motion.
- Do not assume a placement drives or cannot drive conversion. Track referral behavior, brand search, citations, and sales influence for this campaign.
- Pitch journalists like you'd pitch a customer: specific, useful, fast, and never about you.
- The story is not your product. The story is the trend, the data, the conflict, or the human. Your product is the evidence.
- Test speed against relevance and accuracy. Use the story's observed coverage curve and deadline; never trade verification for haste.
When PR is worth it
- You have a real story — proprietary data, a strong opinion, a milestone, a customer with a sharp before/after, or a fresh angle on a trending topic
- You have founder/exec time — journalists want quotes from people with skin in the game, not from a PR rep
- You have a destination — a press page, blog post, or product launch that converts attention into something useful
When to skip PR (for now)
- Pre-launch with no story beyond "we exist"
- No one on the team can sustain the approved, measured test window
- You don't have a clear ICP — journalists ask "who reads my piece because of this?" and if you can't answer, neither can they
What ships with it
6 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 · 184 lines · 80 tokens per session scan A 7f74ab7c6ef2
suede-public-relations is a skill published in the GitHub repository JasonColapietro/suede-creator-skills (135 stars, last pushed today), licensed MIT. It adds 80 tokens to every session and 2,009 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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generate-report
Generate a comprehensive summary report of the latest experiment including metrics, plots, and comparison with baseline. Use this after training and evaluation to create a shareable experiment summary.
evaluate-model
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run-pipeline
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api-test
Run API integration tests against the running backend, verify endpoints return expected responses and status codes. Use after deploying a preview or starting the dev server.
run-simulator
Build and launch the app in the iOS Simulator. Automatically selects an appropriate simulator device, boots it if needed, and installs and launches the app.