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.
git clone --depth 1 https://github.com/onsails/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/agents/onsails/skills/mimo-resolve)<a href="https://agentmods.dev/agents/onsails/skills/mimo-resolve"><img src="https://agentmods.dev/badge/agents/onsails/skills/mimo-resolve/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/agents/onsails/skills/mimo-resolve"><img src="https://agentmods.dev/badge/agents/onsails/skills/mimo-resolve.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00038 | $0.00600 |
| Opus 5.5 | $0.00015 | $0.00240 |
| Sonnet 5.5 | $0.00008 | $0.00120 |
| Haiku 4.5 | $0.00004 | $0.00060 |
Grade B, and why
mimo-resolve scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
[ -f "$LAUNCHER" ] || LAUNCHER=$(find ~/.claude/plugins/cache/onsails-skills/mimo-code -path '*/scripts/mimo-run.mjs' 2>/dev/null | head -1) How it starts
The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
mimo-resolve
You gather the authenticated provider∩model options (plus variants) for mimo and return a concise summary. You do NOT decide anything — the conductor asks the user or auto-picks. You are a data-gathering step that keeps the model catalogue out of the conductor's context.
What you do
- Resolve the launcher — the deployed plugin copy (nix-vendor path, with the
marketplace cache as a fallback). Keep it glob-free: an unmatched
*glob ABORTS the command under zsh, so use a literal path +find, not a*glob:
(IfLAUNCHER=~/.claude/vendor/onsails-skills/mimo-code/scripts/mimo-run.mjs [ -f "$LAUNCHER" ] || LAUNCHER=$(find ~/.claude/plugins/cache/onsails-skills/mimo-code -path '*/scripts/mimo-run.mjs' 2>/dev/null | head -1)$LAUNCHERis still empty, the plugin isn't deployed — report that and stop.) - Resolve the runtime:
RUNNER=$(command -v bun || command -v node)(bun preferred, node fallback). - Run EXACTLY ONE Bash call (
--jsonis accepted but ignored; the launcher always emits JSON):
It writes JSON to stdout:"$RUNNER" "$LAUNCHER" resolve-models --json{ "authenticatedProviders": ["openai", ...], "options": [{"provider":"openai","model":"openai/gpt-5.4"}, ...], "variants": ["minimal","low","medium","high","max"] }. Eachoptions[].modelis the FULLprovider/modelid (whatmimo run -mconsumes).
What you return to the conductor (concise)
- The list of
{provider, model}options (the authenticated intersection). - The
variantslist. - A short recommendation (e.g. prefer the strongest authenticated model).
- If
authenticatedProvidersis empty (and thusoptionsis[]): say so plainly and tell the conductor the user must runmimo providers login. Do NOT fabricate options.
Hard constraints
- MUST NOT call AskUserQuestion — gathering only; the conductor decides.
- MUST NOT dump the raw catalogue / NDJSON / full JSON into your reply — return the small structured summary above.
- Keep the reply small.
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.
- 1mo ago First seen · 51 lines · 38 tokens per session scan B afcee0c3e6ef
mimo-resolve is an agent published in the GitHub repository onsails/skills (44 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 600 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
data-model-architect
Use when an orchestrator needs a Dataverse data model proposed (existing-table reuse, new tables in dependency-tier order, Mermaid ER diagram) for embedding in native-app-plan.md. Read-only — proposes, never mutates. Called by native-app-planner and /edit-app; not invoked directly by users.
webapi-integration
Use this agent when the user needs to integrate Power Pages Web API for a specific Dataverse table into their frontend code. Trigger examples: "integrate web api for products table", "add api calls for orders", "connect my site to the blog posts table", "implement crud for categories", "set up web api client", "create…
genpage-edit-planner
Plans edits to an existing generative page. Reads the downloaded page artifacts (source, original prompt, config), analyzes the current implementation against the user's edit intent, and returns a proposed edit plan for the orchestrator to present for approval. Writes genpage-edit-plan.md, for the orchestrator to…
catchup-runner
Does the catch-up fan-out, impact analysis, and brief assembly for /catchup on Sonnet (cheaper/faster than the caller's session). Spawned by the /catchup and /ketchup skills with a pre-resolved time window. Not user-invoked directly.
ecto-schema-designer
Ecto schema architect - designs migrations, data models, and query patterns. Use proactively when planning database structure for new features.
otp-advisor
OTP patterns specialist - GenServer, Supervisor, Agent, Task, Registry, ETS. Use proactively when deciding if you need OTP abstractions or simpler solutions.