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 calesthio/generative-media-skills --skill d-id-avatar-videogit clone --depth 1 https://github.com/calesthio/generative-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/calesthio/generative-media-skills/d-id-avatar-video)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/d-id-avatar-video"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/d-id-avatar-video/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/calesthio/generative-media-skills/d-id-avatar-video"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/d-id-avatar-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, 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 22 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.
- medium Data Exfiltration · line 207 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 250 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00064 | $0.05236 |
| Opus 5 | $0.00032 | $0.02618 |
| Sonnet 5 | $0.00013 | $0.01047 |
| Haiku 4.5 | $0.00006 | $0.00524 |
Grade A, and why
d-id-avatar-video 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 — 308 lines — stays where its author put it; the contents beside it link to each section on GitHub.
D-ID avatar video production
Use this skill when the selected provider is D-ID or when the user asks for a D-ID talking avatar, photo-to-speaking-video, presenter clip, expressive avatar, interactive visual agent, real-time avatar stream, or D-ID-powered localization/support/training workflow.
Do not treat D-ID as a general cinematic video generator. It is primarily for human-presenter video: a face or presenter speaks text or audio with lip sync. For scenes that need object interaction, product handling, full-body action choreography, multi-shot narrative motion, or cinematic camera movement, use a broader video-generation or composition pipeline and use D-ID only for the presenter segments.
Facts in this skill were verified against official D-ID documentation and policies on 2026-07-10. Re-check live docs before quoting prices, enabled models, supported languages, moderation categories, endpoint schemas, or plan limits in user-facing commitments.
Choose the D-ID route before scripting
Pick the route from the deliverable, not from habit:
| Need | D-ID route | Use when | Avoid when |
|---|---|---|---|
| A specific still portrait speaks | V2 Photo Avatar / Talks API (POST /talks) |
The user supplies or owns a clear face image; personalization matters more than body motion. | The face is low-resolution, side-facing, celebrity-like, or permission is uncertain. |
| A polished stock presenter speaks | V3 Pro Avatar / Clips API (POST /clips) |
Marketing, learning, onboarding, support snippets, or brand explainers need Full-HD presenter footage and natural presenter movement. | The user needs a specific person's identity. |
| A reusable custom video avatar | V3 Instant Avatar or V4 Expressive Avatar creation | The subject can complete consent verification and the project needs many videos with one owned avatar. | There is no consent video or the source footage is poor. |
| Expressive emotion and next-generation avatar behavior | V4 Expressive Avatar / Scenes API (POST /scenes) |
Sentiment/emotion, more human facial detail, expressive training/support/sales presenters, or V4 agents are required. | A simple one-off photo-to-video clip is enough. |
| Live conversation | D-ID Agents, Agents SDK, Streams API, Embed SDK | The output is a website/chat/support/training agent with real-time WebRTC/LiveKit avatar responses. | The deliverable is a finished MP4 only. |
| Bulk personalization | D-ID API jobs or Studio campaigns, depending on the user's tooling | Sales outreach, onboarding, L&D certificates, course feedback, or localized variants need many similar videos. | Each video needs bespoke editing or different visual design. |
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.
- 9d ago First seen · 308 lines · 64 tokens per session scan A 8c3bae2a9b3d
d-id-avatar-video is a skill published in the GitHub repository calesthio/generative-media-skills (170 stars, last pushed 2mo ago), licensed MIT. It adds 64 tokens to every session and 5,236 once invoked, about $0.0003 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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