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 prizmad/agent-skills --skill api-usagegit clone --depth 1 https://github.com/prizmad/agent-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/prizmad/agent-skills/api-usage)<a href="https://agentmods.dev/skills/prizmad/agent-skills/api-usage"><img src="https://agentmods.dev/badge/skills/prizmad/agent-skills/api-usage/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/prizmad/agent-skills/api-usage"><img src="https://agentmods.dev/badge/skills/prizmad/agent-skills/api-usage.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00035 | $0.01009 |
| Opus 5.5 | $0.00014 | $0.00404 |
| Sonnet 5.5 | $0.00007 | $0.00202 |
| Haiku 4.5 | $0.00003 | $0.00101 |
Grade A, and why
api-usage scanned grade A with 1 finding 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 2mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Prizmad provides a REST API for creating AI-powered video ads programmatically. The MCP server at `/api/mcp` is a thin agent-friendly wrapper on top of these endpoints — anything the MCP layer does, you can do with a cur How it starts
The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prizmad REST API
Prizmad provides a REST API for creating AI-powered video ads programmatically. The MCP server at /api/mcp is a thin agent-friendly wrapper on top of these endpoints — anything the MCP layer does, you can do with a curl loop.
Authentication
Three interchangeable ways to obtain a Bearer token. See /.well-known/agent-skills/oauth/SKILL.md for the full OAuth spec.
Option 1: API key (simplest)
Authorization: Bearer przmad_sk_live_...
Manage keys at https://prizmad.com/api-keys.
Option 2: OAuth 2.0 client_credentials (server-to-server)
curl -X POST https://prizmad.com/oauth/token \
-d grant_type=client_credentials \
-d client_id=my-app \
-d client_secret=przmad_sk_live_...
Returns access_token (HS256 JWT, 1 h, audience https://prizmad.com/api).
Option 3: OAuth 2.1 Authorization Code + PKCE + DCR (Connect flow)
The "Add custom connector" path used by Claude Desktop / Claude.ai / ChatGPT / Cursor. RS256 JWT bound to the MCP audience, refresh-rotated. Discovery: /.well-known/oauth-authorization-server.
Discovery
- OpenAPI:
https://prizmad.com/openapi.json - Interactive docs (Scalar):
https://prizmad.com/api/docs - API catalog (RFC 9727):
https://prizmad.com/.well-known/api-catalog - Health:
https://prizmad.com/api/health
Endpoints
Public (no auth)
| Method | Path | Purpose |
|---|---|---|
| GET | /api/v1/templates |
List all video templates with features and token costs |
| GET | /api/v1/avatars |
List built-in avatar presets with recommended voices |
Authenticated
| Method | Path | Purpose |
|---|---|---|
| GET | /api/v1/videos |
List the caller's recent video projects (paginated; ?limit, ?status). Returns projectUrl / shareUrl / downloadUrl per row. |
| POST | /api/v1/videos |
Create a new video render. Returns videoId + estimated time + poll cadence. Requires Pro plan. |
| GET | /api/v1/videos/{id} |
Status by id — progress %, steps, projectUrl, shareUrl, downloadUrl, errorMessage. Auto-mints a share token on completion. |
| GET | /api/v1/videos/{id}/download |
Authenticated mp4 stream proxied through prizmad.com. |
| POST | /api/v1/videos/batch |
Launch up to 20 renders in parallel; pre-checks total token cost. |
| POST | /api/v1/upload |
Multipart upload for one or more product / avatar images. |
| POST | /api/v1/upload-from-url |
JSON upload (image URL or base64 blob) — agent-friendly. Returns a prizmad.com-hosted URL. |
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.
- 2mo ago First seen · 89 lines · 35 tokens per session scan A c3a7ea51b0ec
api-usage is a skill published in the GitHub repository prizmad/agent-skills (2 stars, last pushed 6mo ago), licensed MIT. It adds 35 tokens to every session and 1,009 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
ads-performance-analytics
How to read paid media dashboards without fooling yourself. Attribution models, platform reporting quirks, multi-platform reconciliation, ROAS vs LTV horizon traps, statistical noise in performance metrics, incrementality testing, and the failure modes that produce expensive lessons. Triggers on read paid media…
ads-creative-development
How to produce ad creative that converts at performance scale. Hook patterns, format selection, video pacing, variation systems, sequential testing methodology, fatigue detection, brand-voice alignment without conversion dilution, and platform-specific creative norms. Triggers on ad creative, ad design, hook patterns…
paid-media-strategy
A discipline for running paid media that does not light money on fire. Hypothesis writing for paid spend, channel selection, budget allocation, audience targeting, bid strategy, campaign types, what NOT to spend on, attribution reality, and the failure modes that produce expensive lessons. Triggers on paid media…
create-short
Create a short-form vertical video (TikTok, Instagram Reels, YouTube Shorts). Optimized 9:16 pipeline with a live Studio preview, auto-captions, hook-first structure, and background music mood selection; renders to MP4 only when you ask.
create-video
Full video production pipeline — from a text prompt to a live Studio preview with voiceover, music, sound effects, stock footage, and motion graphics, rendered to MP4 when you ask. The flagship command of Remotion Superpowers.
review-video
Review a Remotion video with AI vision. Starts with a cheap local check of rendered still frames, then has TwelveLabs watch the full render and score it against a JSON rubric (pacing, composition, text legibility, audio sync and more) with timestamped fixes, applies the fixes and re-reviews. The feedback loop that…