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 agentmods add skills/riffkit/skill/skillnpx skills add riffkit/skill --skill skillgit clone --depth 1 https://github.com/riffkit/skillWhat 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 | $0.00166 | $0.19901 |
| Opus 5 | $0.00083 | $0.09950 |
| Sonnet 5 | $0.00033 | $0.03980 |
| Haiku 4.5 | $0.00017 | $0.01990 |
Grade A, and why
riffkit scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
1. **Download URL** — `${BASE_URL}${file_url}` (direct video link). This is the ONLY download path — there is **no** `/api/assets/{id}/download` sub-resource (it 404s; do not invent REST-style suffixes). The GET needs th 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 — 985 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Riffkit Skill
Core stance: you riff the formula, not the video. Give one winning source; the backend analyzes the emotion formula that hijacks attention and migrates that formula onto your own content. The footage can be completely different as long as the viewer travels the same psychological path.
One screen, one action: source (required) → optional settings → submit. The real product is a single page and a single call (POST /api/riffs). Every setting other than the source has a sensible default — character defaults to Auto (no digital human; the AI generates the on-camera person) and product defaults to none. When the user doesn't care, the agent applies defaults silently instead of dragging them through a multi-step wizard.
The agent's highest-value contribution is content_anchor (the creative direction) — the one degree of strategic freedom: which of the product's N selling points to angle on, which surface to fill into the template's emotion mechanism. It is an optional collaboration, not a blocking hard-stop. See ## content_anchor drafting framework below.
Skill scope
This skill makes short AI videos in exactly two modes: riff videos (analyze a source video's emotion formula and regenerate it as your own) and creation videos (author an original ad video from a written creative direction — no source video; POST /api/creation/batch). 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 videos; don't call unrelated APIs and don't steer them elsewhere.
No staff/admin features are exposed. This skill covers only endpoints a normal authenticated user can call. Building platform templates by analyzing new sources, publishing/unpublishing platform templates, cross-scope task search, manually granting/clawing back credits — all staff-only. This document never lists them and the agent never calls them.
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.
- 2d ago First seen · 985 lines · 166 tokens per session scan A 1765ced9094f
riffkit is a skill published in the GitHub repository riffkit/skill (7 stars, last pushed 7d ago), licensed MIT. It adds 166 tokens to every session and 19,901 once invoked, about $0.0008 per session on Opus 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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