Rill is a business intelligence tool for turning data sources into SQL models, metrics, dashboards, and natural-language analysis. It is used by business users and coding agents, with OLAP engines such as ClickHouse and DuckDB supporting its queries. Its catalogue add-ons support agent-driven work on Rill projects.
Borrowing it
Nothing to install: this file belongs to rilldata/rill. 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/rilldata/rill/main/.claude/skills/file-issue/SKILL.mdgit clone --depth 1 https://github.com/rilldata/rillWrote 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/rilldata/rill/file-issue)<a href="https://agentmods.dev/skills/rilldata/rill/file-issue"><img src="https://agentmods.dev/badge/skills/rilldata/rill/file-issue/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/rilldata/rill/file-issue"><img src="https://agentmods.dev/badge/skills/rilldata/rill/file-issue.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00009 | $0.00217 |
| Opus 5.5 | $0.00004 | $0.00087 |
| Sonnet 5.5 | $0.00002 | $0.00043 |
| Haiku 4.5 | $0.00001 | $0.00022 |
Grade A, and why
file-issue 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 2mo 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
Create a Linear issue based on the current conversation context.
Input: $ARGUMENTS (optional — if not provided, infer from conversation history)
Instructions
- Review the conversation and
$ARGUMENTSto understand the issue. Search the codebase for relevant details if needed. - Draft the issue: title, description, team, priority (default Normal), and labels. For team, default to "Application" for frontend/UI, "Platform" for backend/runtime, "Infra" for infrastructure.
- Preview the draft via
AskUserQuestionwith options to create or edit first. - Create using
mcp__linear__create_issueand report the issue identifier and URL.
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.
- 2mo ago First seen · 17 lines · 9 tokens per session scan A 4fc3c663336e
file-issue is a skill published in the GitHub repository rilldata/rill (2,970 stars, last pushed yesterday), licensed Apache-2.0. It adds 9 tokens to every session and 217 once invoked, about $0.0000 per session on Opus 5.5. 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.
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