Coral is a local application that gives AI agents one SQL interface for querying connected APIs, files, and live data sources. It is for agents and developers who need to retrieve and correlate data across sources while reducing repeated tool calls, pagination, and source-specific integration code. Coral exposes its query interface to compatible agents through MCP, and the catalogue add-ons support using it in agent workflows.
Borrowing it
Nothing to install: this file belongs to withcoral/coral. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/withcoral/coral/main/.agents/skills/ask-matt/SKILL.mdgit clone --depth 1 https://github.com/withcoral/coralWrote 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/withcoral/coral/ask-matt)<a href="https://agentmods.dev/skills/withcoral/coral/ask-matt"><img src="https://agentmods.dev/badge/skills/withcoral/coral/ask-matt/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/withcoral/coral/ask-matt"><img src="https://agentmods.dev/badge/skills/withcoral/coral/ask-matt.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 | $0.00022 | $0.02990 |
| Opus 5.5 | $0.00009 | $0.01196 |
| Sonnet 5.5 | $0.00004 | $0.00598 |
| Haiku 4.5 | $0.00002 | $0.00299 |
Grade A, and why
ask-matt 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 8d 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.
This is a copy
86% identical to ask-matt — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ask Matt
You don't remember every skill, so ask.
Before stating what a skill does or recommending a step be skipped, read that skill's SKILL.md: the summaries here are for orientation only.
A flow is a path through the skills. Most paths run along one main flow, and two on-ramps merge onto it. Everything else is standalone, or a vocabulary layer that runs underneath.
The main flow: idea → ship
The route most work travels. You have an idea and want it built.
/grill-with-docssharpens the idea by interview. Start here whenever you are working in a working directory: it's stateful, retaining what it learns inGLOSSARY.mdand ADRs. (No working directory? Use/grill-meinstead, covered under Standalone. Both run the same/grillingprimitive;grill-with-docsis the one that leaves a paper trail, which makes it the better of the two whenever a repo is there to leave it in.)- Branch: can you settle every question in conversation? If a question needs a runnable answer (state, business logic, a UI you have to see), detour through a prototype, bridged by
/handoffin both directions (a prototype lives in its own directory, which is exactly what/handoffis for; see Phase boundaries):/handoffout, then open a fresh session against that file,/prototypeto answer the question with throwaway code,/handoffback what you learned, and reference it from the original idea thread.
- Branch: is this a multi-session build?
- Yes →
/to-spec(turn the thread into a spec), then/to-ticketsto split it into tracer-bullet tickets, each declaring its blocking edges. Then work the tickets one of two ways:/implementper ticket,/clearing context between each one. On a local tracker that's one file per ticket under.scratch/<feature>/issues/, worked blockers-first by hand; on a real tracker the edges become native blocking links, so any ticket whose blockers are done can be grabbed. Each ticket is self-contained, so the last one's context is disposable./implement-specfor the whole spec in one run. It reads the tickets as a task graph, runs implementer subagents across the ready frontier in parallel, and lands everything on one integration branch. Reach for it when you'd rather orchestrate the build than drive each ticket yourself.
- No →
/implementright here, in the same context window.
- Yes →
What ships with it
2 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.
- 8d ago First seen · 98 lines · 22 tokens per session scan A 1371f5ce005d
ask-matt is a skill published in the GitHub repository withcoral/coral (4,938 stars, last pushed today), licensed Apache-2.0. It adds 22 tokens to every session and 2,990 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to ask-matt, differing in 0 lines, and is treated as a copy.
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