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 ur-grue/autopunk-media-skills --skill streaming-platform-pitchgit clone --depth 1 https://github.com/ur-grue/autopunk-media-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/ur-grue/autopunk-media-skills/streaming-platform-pitch)<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/streaming-platform-pitch"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/streaming-platform-pitch/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/ur-grue/autopunk-media-skills/streaming-platform-pitch"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/streaming-platform-pitch.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 77 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 | $0.00041 | $0.01756 |
| Opus 5 | $0.00020 | $0.00878 |
| Sonnet 5 | $0.00008 | $0.00351 |
| Haiku 4.5 | $0.00004 | $0.00176 |
Grade A, and why
streaming-platform-pitch 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 8d 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Streaming Platform Pitch
What This Skill Does
Writes a pitch document for a streaming platform commissioning or acquisitions team, covering the project's format, target audience fit, platform-specific positioning, and the case for commissioning or acquiring it.
When To Use This Skill
- You are preparing a submission to a streaming platform's commissioning pipeline
- A platform has expressed interest and asked for a written overview before a formal pitch meeting
- You want to adapt an existing broadcaster pitch for a streaming context
- You are pitching an original project directly to a platform without going through a traditional broadcaster
What You Need To Provide
Required: Project title, format (series, film, documentary, etc.), episode count and runtime (if series), brief description (2–3 sentences), the specific streaming platform you are targeting, your sense of the target audience.
Optional: Comparable titles currently on the platform, talent attached, production stage, international angle or co-production interest, any prior development support or broadcast interest.
How the Assistant Approaches This
- Frames the project explicitly in terms of what it adds to the specific platform's slate — what audience it serves, what need it fills — not just what it is as a standalone project
- Presents the format, logline, and series structure or film concept with enough detail for a commissioning executive to see how it would exist on-screen, including pacing, format, and any distinctive production approach
- Makes the commercial and audience case: why this audience is on the platform, why they will watch this project, and how it positions alongside comparable titles — including, if possible, comparable titles already on that platform's catalogue
- Closes with a "Next Step" note: the ideal first action after completing the pitch document (research the platform's current commissioning pipeline, find the right commissioning contact, or run series-pitch-deck-writer if a visual deck is also required for the meeting)
What ships with it
1 file 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.
- 8d ago First seen · 109 lines · 41 tokens per session scan A 12217d2fb96f
streaming-platform-pitch is a skill published in the GitHub repository ur-grue/autopunk-media-skills (32 stars, last pushed 12d ago), licensed MIT. It adds 41 tokens to every session and 1,756 once invoked, about $0.0002 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 2026-09-04.
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