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 verivus-oss/llm-cli-gateway --skill multi-llm-orchestrationgit clone --depth 1 https://github.com/verivus-oss/llm-cli-gatewayWrote 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/verivus-oss/llm-cli-gateway/multi-llm-orchestration)<a href="https://agentmods.dev/skills/verivus-oss/llm-cli-gateway/multi-llm-orchestration"><img src="https://agentmods.dev/badge/skills/verivus-oss/llm-cli-gateway/multi-llm-orchestration/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/verivus-oss/llm-cli-gateway/multi-llm-orchestration"><img src="https://agentmods.dev/badge/skills/verivus-oss/llm-cli-gateway/multi-llm-orchestration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 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 Prompt Injection · line 49 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 51 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 52 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 53 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00070 | $0.01947 |
| Opus 5 | $0.00035 | $0.00974 |
| Sonnet 5 | $0.00014 | $0.00389 |
| Haiku 4.5 | $0.00007 | $0.00195 |
Grade A, and why
multi-llm-orchestration 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 10d 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 — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-LLM Orchestration
Use the local gtwy stdio MCP server as the single orchestration surface. Do not launch provider CLIs directly for implementation, review, or consensus work. In Codex the tools usually appear as mcp__gtwy__; other clients can show their short tool names.
Discover the Live Surface
Call provider_tool_capabilities before planning a cross-provider workflow and use cli_versions when behavior is unexpected. The canonical CLI provider roster has seven members:
| Provider | Request tools | Important boundary |
|---|---|---|
| Claude | claude_request, claude_request_async | Only provider with mcp_managed. |
| Codex | codex_request, codex_request_async | Use sandboxMode, not fullAuto. |
| Gemini | gemini_request, gemini_request_async | Antigravity owns native MCP configuration; use workingDir for cwd. |
| Grok | grok_request, grok_request_async | Native ACP capability is also available through the gateway. |
| Mistral | mistral_request, mistral_request_async | Native ACP capability; programmatic default is accept-edits. |
| Devin | devin_request, devin_request_async | Native ACP capability; accepts flat prompt only. |
| Cursor | cursor_request, cursor_request_async | Native ACP capability; accepts flat prompt only. |
Async tools and llm_job_* tools are absent when persistence.backend = "none". Do not invent an unavailable tool or silently change a required reviewer roster.
Configured API providers are discovered dynamically with list_models and
their runtime capability data. They are not canonical local CLI providers and
do not imply local workspace/worktree targeting or native ACP. Do not use one
as an unannounced replacement for a required source-inspecting CLI reviewer.
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.
- 10d ago First seen · 172 lines · 70 tokens per session scan A b5917b26e6f6
multi-llm-orchestration is a skill published in the GitHub repository verivus-oss/llm-cli-gateway (15 stars, last pushed today), licensed MIT. It adds 70 tokens to every session and 1,947 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 2026-08-30.
Other skills, from other repositories
provider-integration
Adds new AI providers to claude-council, configures provider API settings, troubleshoots provider connections, and documents the provider script interface. Covers creating provider shell scripts, setting API keys, and validating connectivity. Triggers on "add provider", "new AI agent", "provider not working", "API…
architect
System design, tradeoffs, and complex technical decisions.
security-analyst
Threat-model and find vulnerabilities, with practical remediation.
plan-reviewer
Validate that a work plan is executable before work starts.
researcher
Research external libraries, APIs, and best practices, with evidence.
debugger
Rank root-cause hypotheses and propose the smallest safe fix.