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 veniceai/skills --skill venice-text-routinggit clone --depth 1 https://github.com/veniceai/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/veniceai/skills/venice-text-routing)<a href="https://agentmods.dev/skills/veniceai/skills/venice-text-routing"><img src="https://agentmods.dev/badge/skills/veniceai/skills/venice-text-routing/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/veniceai/skills/venice-text-routing"><img src="https://agentmods.dev/badge/skills/veniceai/skills/venice-text-routing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 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 Data Exfiltration · line 189 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 189 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 | $0.00132 | $0.04003 |
| Opus 5 | $0.00066 | $0.02001 |
| Sonnet 5 | $0.00026 | $0.00801 |
| Haiku 4.5 | $0.00013 | $0.00400 |
Grade A, and why
venice-text-routing 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 11d 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.
curl https://api.venice.ai/api/v1/chat/completions \ How it starts
The opening of the file, as written. The whole thing — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Venice Text-Model Routing
This skill encodes the decision logic for "which Venice text model do I call?" — the routing layer that sits above venice-chat (the call surface) and consumes venice-models (the discovery API).
Primary use case: a local agent receives a prompt, decides whether the local model can handle it, and — if not — picks the cheapest Venice model that satisfies the privacy / modality / capability requirements.
Snapshot freshness
Before applying the matrix below, read
snapshots/text-routing.json. If the file is missing, orsnapshot_dateis older than 30 days, runpython scripts/refresh_routing.pyto regenerate it fromGET /models?type=text+GET /models/traits?type=text. Otherwise trust the cached file — do not hit/modelson every routing decision.
refresh_routing.py requires VENICE_API_KEY in the environment and rewrites both snapshots/text-routing.json and routing-matrix.md. Run it once on first install, then ~monthly (CI nightly is also fine).
When to load this skill
- Picking a Venice text model from a prompt at runtime.
- Building a local-first agent that escalates to Venice for hard prompts.
- Deciding privacy tier (anonymized vs private vs TEE vs E2EE).
- Choosing between a trait shortcut (
default_reasoning,most_intelligent, …) and a hand-filtered candidate.
For the chat call surface itself, see venice-chat. For raw discovery of every model field, see venice-models.
Privacy tier ladder
Pick the least restrictive tier that satisfies the request — restricting tier shrinks the candidate pool and often raises cost.
| Tier | Selector | Guarantee | Use when |
|---|---|---|---|
| Anonymized | model_spec.privacy: "anonymized" (no tee- / e2ee- prefix) |
Venice strips IPs / metadata; the underlying provider (Anthropic, xAI, OpenAI, …) sees the prompt under their privacy policy | Default for non-sensitive workloads; only path to certain frontier closed-weights models. |
| Private | model_spec.privacy: "private" (no prefix) |
Open-weights model self-hosted by Venice; zero data retention; no third party sees the prompt | Default for any user data, business logic, or anything you wouldn't paste into ChatGPT. |
| TEE | model id starts with tee- |
Runs inside Intel TDX / NVIDIA confidential-compute enclave; Venice infrastructure cannot read the prompt; verifiable via GET /api/v1/tee/attestation |
Regulated data, signed responses required, "Venice itself can't see this." |
| E2EE | model id starts with e2ee- |
TEE + client-side ECDH (secp256k1) / HKDF-SHA256 / AES-256-GCM; prompt encrypted before leaving the device | Strongest. Healthcare, legal, secrets, anything where the wire payload must be opaque. Requires E2EE handshake — see venice-chat. |
What ships with it
3 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.
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.
- 11d ago First seen · 265 lines · 132 tokens per session scan A d248af3710b0
venice-text-routing is a skill published in the GitHub repository veniceai/skills (141 stars, last pushed 4d ago), licensed MIT. It adds 132 tokens to every session and 4,003 once invoked, about $0.0007 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 2026-08-30.
Other skills, from other repositories
llm-app-patterns
Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability.
prompt-optimization
Improve a prompt on the evaluations workbench through a measured loop. Score the baseline first, then duplicate the target column, form a hypothesis from failing rows, edit the copy's prompt draft, run, compare pass rate and cost, and repeat until the numbers hold. Use when the user asks to optimize or improve a…
enhance-prompt
Transforms vague UI ideas into polished, Stitch-optimized prompts. Enhances specificity, adds UI/UX keywords, injects design system context, and structures output for better generation results.
prompt-engineer
Writes, refactors, and evaluates prompts for LLMs — generating optimized prompt templates, structured output schemas, evaluation rubrics, and test suites. Use when designing prompts for new LLM applications, refactoring existing prompts for better accuracy or token efficiency, implementing chain-of-thought or few-shot…
seedance-vocab-en
This skill should be used when an English Seedance 2.0 prompt needs clearer production wording, less generic prose, or precise vocabulary for camera, lighting, motion, VFX, audio, and constraints. Route blocked prompts through seedance-filter for context and boundary review.
ideogram4
Prompting patterns for Ideogram 4 text-to-image — best-in-class in-image text rendering and exact color/layout control via structured JSON captions. Use when generating images that need legible on-image text (title cards, thumbnails, logos, signage, CTAs), precise brand colors, or controlled spatial layout. Triggers…