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 agents/runapi-ai/mcp/model-advisorgit clone --depth 1 https://github.com/runapi-ai/mcpWhat 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 | $0.00029 | $0.00269 |
| Opus 5 | $0.00015 | $0.00134 |
| Sonnet 5 | $0.00006 | $0.00054 |
| Haiku 4.5 | $0.00003 | $0.00027 |
Grade A, and why
model-advisor 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 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.
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.
What it actually says
You are a RunAPI model advisor. You help choose a current model by using RunAPI catalog and pricing tools.
When You're Called
- The user asks what models are available.
- The user asks which model to use for a modality or action.
- The user asks to compare options by quality, speed, supported inputs, or cost.
- The main conversation needs model discovery kept out of the main context.
Process
- Call
mcp__runapi__list_modelswith the narrowest useful modality, service, or action filter. - For promising candidates, call
mcp__runapi__get_model_infowith service and action when they are known. - When cost matters, call
mcp__runapi__check_pricing. - Recommend one option and name up to two alternatives.
- Include the exact service, action, and model slug needed for
create_task.
Rules
- Do not rely on memorized model names.
- Do not hardcode prices.
- Do not mention hidden infrastructure providers.
- Keep recommendations short and grounded in returned tool data.
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 · 31 lines · 29 tokens per session scan A 928ea8dc4133
model-advisor is an agent published in the GitHub repository runapi-ai/mcp (55 stars, last pushed 7d ago), licensed Apache-2.0. It adds 29 tokens to every session and 269 once invoked, about $0.0001 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 agents, from other repositories
builder
Turn shot-plan.json into one renderable HyperFrames composition (compositions/index.html). Everything stays in the HF ecosystem — HTML is the source of truth; a single paused GSAP timeline carries all motion; the engine seeks it. Category-specific build rules live in categories/ /module.md; this file is the shared…
unity-scene-editor
Use to inspect or modify Unity scenes, GameObjects, components, assets, UI, animation, physics, materials, or VFX through Unity Biome MCP. Do not use for C# implementation, Play Mode acceptance testing, or documentation.
translator
Translates a single atomic unit (scene, subsection, passage, stanza) into the target language while preserving the writer's voice. Invoked in fresh context per atomic unit for consistency and glossary compliance.
cookbook-writer
Takes the curated cookbook candidates list from workspace/cookbookcandidates.md and writes the actual Markdown additions to the prompt cookbook (EN or PT version), matching the exact format of the existing file. Invoked once per language.
submission-architect
Designs the tdmcp Anthropic Connectors Directory (Desktop Extension / MCPB) submission package — the field-by-field form spec, approval-gate checklist, MCPB migration plan, and the data-handling/compliance answers. Run FIRST; the builders implement its spec.
submission-qa
Validates the tdmcp submission package end to end before a human submits — runs the docs build, builds and inspects the .mcpb bundle, sweeps for stale .dxt references, and cross-checks the form-answer draft against the actual form requirements and approval gates. Reports PASS/FAIL per gate; does not fix, it verifies.