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 LycheeAILab/avatar-forge --skill avatar-forge-pipelinegit clone --depth 1 https://github.com/LycheeAILab/avatar-forgeWrote 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/lycheeailab/avatar-forge/avatar-forge-pipeline)<a href="https://agentmods.dev/skills/lycheeailab/avatar-forge/avatar-forge-pipeline"><img src="https://agentmods.dev/badge/skills/lycheeailab/avatar-forge/avatar-forge-pipeline/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/lycheeailab/avatar-forge/avatar-forge-pipeline"><img src="https://agentmods.dev/badge/skills/lycheeailab/avatar-forge/avatar-forge-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to high
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 →
- high YARA Match · line 67 YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.
- medium Rogue Agent · line 3 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Excessive Agency · line 55 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 Excessive Agency · line 107 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 | $0.00091 | $0.02053 |
| Opus 5 | $0.00046 | $0.01026 |
| Sonnet 5 | $0.00018 | $0.00411 |
| Haiku 4.5 | $0.00009 | $0.00205 |
Grade A, and why
avatar-forge-pipeline 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 5d 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Avatar Forge Pipeline
Identify the installed release
When asked about the installed or latest available capability, read the adjacent VERSION file and report that exact value. Do not infer a version from conversation history, README prose, authentication state, or an older standalone Skill. This package is release 2.2.0.
If both this plugin Skill and a legacy standalone ~/.codex/skills/avatar-forge-pipeline are present, stop and explain the name collision. Preserve the legacy directory as a timestamped backup outside the active skills directory, then start a new Codex task before validating capabilities.
Enforce the delivery contract
Return only the final MP4 produced by LycheeAILab zeroshot inference unless the user explicitly requests standalone LycheeTTS audio.
- Never return, present, or call a RunningHub template the final digital-human video.
- Never stop after the internal template task.
- Never use RunningHub for fast clone or zeroshot inference.
- Never expose a RunningHub URL, task ID, payload, or internal template file to the user.
- Never replace the zeroshot result with a secondary packaged render.
- Delete the local internal template after fast clone succeeds.
Choose a capability
- Complete: portrait + authorized reference voice or existing LycheeTTS
speaker_id+ script → internal template → target speech → fast clone → zeroshot MP4. - Avatar only: portrait + finished WAV/MP3 → internal template → fast clone → zeroshot MP4.
- Zeroshot only: ready
asset_id+player_id+ finished WAV/MP3 → zeroshot MP4. - Clone voice: authorized reference audio → LycheeTTS clone through Lab. Normalize the returned
requestIdasspeakerIdwhen no explicitspeakerIdis present; this is the identifier accepted by LycheeTTS inference. - Voice only: existing
speaker_id+ script → LycheeTTS MP3 through Lab. Use only when the user explicitly asks for audio. - Reference-video script: uploaded video or authorized Douyin URL → local video → original transcript → rewritten speaking script. Stop there unless the user asks to continue into voice or avatar generation.
What ships with it
23 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.
- agents/openai.yaml 259 B
- assets/template-driver.wav 728 KB
- references/api-contracts.md 1.7 KB
- references/verification-gates.md 1.4 KB
- references/video-recreation.md 2.2 KB
- references/workflow.md 3.3 KB
- requirements-transcription.txt 23 B
- requirements.txt 51 B
- scripts/doctor.py 3.4 KB runs code
- scripts/douk_downloader/__init__.py 65 B runs code
- scripts/douk_downloader/a_bogus.py 16 KB runs code
- scripts/douk_downloader/download.py 6.9 KB runs code
- scripts/douk_downloader/LICENSE 34 KB
- scripts/douk_downloader/NOTICE.md 771 B
- scripts/prepare_video_source.py 4.9 KB runs code
- scripts/run_pipeline.py 23 KB runs code
- scripts/scan_secrets.py 2.7 KB runs code
- scripts/test_douyin_downloader_no_network.py 1.9 KB runs code
- scripts/test_pipeline_no_spend.py 9.7 KB runs code
- scripts/test_video_source_no_network.py 1013 B runs code
- scripts/test_workflow_contract.py 5.1 KB runs code
- scripts/transcribe_video.py 2.3 KB runs code
- VERSION 6 B
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.
- 5d ago Changed · +45 lines · +1 tokens per session 14635475a256
- 9d ago First seen · 92 lines · 90 tokens per session scan A 6315a0d7ff23
avatar-forge-pipeline is a skill published in the GitHub repository LycheeAILab/avatar-forge (41 stars, last pushed 8d ago), licensed MIT. It adds 91 tokens to every session and 2,053 once invoked, about $0.0005 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 2026-08-30.
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