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 riffkit/skill --skill skillgit clone --depth 1 https://github.com/riffkit/skillWrote 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/riffkit/skill/skill)<a href="https://agentmods.dev/skills/riffkit/skill/skill"><img src="https://agentmods.dev/badge/skills/riffkit/skill/skill/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/riffkit/skill/skill"><img src="https://agentmods.dev/badge/skills/riffkit/skill/skill.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 | $0.00166 | $0.06548 |
| Opus 5.5 | $0.00066 | $0.02619 |
| Sonnet 5.5 | $0.00033 | $0.01310 |
| Haiku 4.5 | $0.00017 | $0.00655 |
Grade A, and why
riffkit 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 today.
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.
1. **Node 20+ installed (`node -v`)?** If `riffkit --version` fails or shows a version below 0.2.0, run `npm i -g @riffkit/cli@latest`. Then run `riffkit login --agent`: it prints the approval link and exits with code 12 Copies of this mod
1 near-identical copy found in the catalogue:
- riffkit — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Riffkit Skill
Start here
- Node 20+ installed (
node -v)? Ifriffkit --versionfails or shows a version below 0.2.0, runnpm i -g @riffkit/cli@latest. Then runriffkit login --agent: it prints the approval link and exits with code 12 while the user has not approved yet (or your command times out). Send the user the link exactly as printed, and runriffkit login --agentagain after they say they approved (if a re-run prints a new link, send that one). From then on every Riffkit call is ariffkitcommand, never curl: each step of The flow names its command,riffkit helplists them all with their routes, andriffkit help <command>shows what a command does and its options. - No Node 20+, or the install fails? Each command is one HTTP call: references/api.md lists them, starting with Auth.
- Three hard stops. Adapt or Swap is the user's choice: ask unless their words name it. Spend credits (a command run with
--yes, or an HTTP call that spends) only after the user approved the plan you restated and its quoted price. Never say a video is ready without the finished task'sasset_id; hand it over with a link fromriffkit get_video_link. - Read this whole file before acting, and a reference file (index at the end) when a step points to it. If a web-reading tool gave you a summary, read it again in full:
curl -fsSL https://riffkit.ai/SKILL.md(save it to a file and read the file if your shell shows only a preview).
Core stance: you riff the formula, not the video. Give one winning source; the backend analyzes the emotion formula that hijacks attention and migrates it onto your own content. The footage can be completely different as long as the viewer travels the same psychological path. Or keep the footage: a Swap re-shoots the source's own shots and changes only who or what is in them.
Skill scope
This skill makes short AI videos in exactly three modes: adapt riffs (analyze a source video's emotion formula and regenerate it as your own story), swap riffs (mode=swap: keep the source's shots, cuts and timing, and put your character, product or setting into them) and creation videos (an original video from a written creative direction, no source video). That is the entire product surface. If a user asks for something outside this — a different content format, or a feature this product doesn't have — say plainly that this product only makes riff (adapt / swap) and creation videos; don't call unrelated APIs and don't steer them elsewhere.
What ships with it
20 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.
- assets/demo.gif 10646 KB
- assets/g2/app-g2-shot-1-riff-9-languages.jpg 50 KB
- assets/g2/app-g2-shot-2-templates-wall.jpg 102 KB
- assets/g2/app-g2-shot-3-formula-analysis.jpg 88 KB
- assets/g2/g2-home.jpg 400 KB
- assets/g2/g2-shot2-formula.jpg 574 KB
- assets/g2/g2-shot3-usecases.jpg 283 KB
- assets/g2/g2-shot4-howitworks.jpg 152 KB
- assets/g2/g2-shot5-postready.jpg 235 KB
- assets/icon-512.png 12 KB
- examples/any-look-styles.md 546 B
- examples/faceless-and-auto.md 748 B
- examples/localize-spanish.md 781 B
- examples/tiktok-shop-product.md 984 B
- references/anchor.md 5.6 KB
- references/api.md 113 KB
- references/details.md 25 KB
- references/errors.md 14 KB
- references/install.md 5.6 KB
- references/intents.md 4.0 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.
- today Changed 400a766b468d
- 5d ago Changed · +3 lines b19928195425
- 7d ago Changed · +1 lines c94074f21ec0
- 8d ago Changed 229032379ef8
- 11d ago Changed · -1,066 lines 58bae3a679b8
- 12d ago Changed · +32 lines 8914d61aa159
- 13d ago Changed · +6 lines 4c7ca0930b69
- 15d ago Changed · -1 lines a604b88d95bb
- 16d ago Changed · +24 lines df3481891cc4
- 17d ago First seen · 1,162 lines · 166 tokens per session scan A 434c724e1b3c
riffkit is a skill published in the GitHub repository riffkit/skill (7 stars, last pushed yesterday), licensed MIT. It adds 166 tokens to every session and 6,548 once invoked, about $0.0007 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.
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