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 malloydata/publisher --skill malloy-gotchas-renderinggit clone --depth 1 https://github.com/malloydata/publisherWrote 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/malloydata/publisher/malloy-gotchas-rendering)<a href="https://agentmods.dev/skills/malloydata/publisher/malloy-gotchas-rendering"><img src="https://agentmods.dev/badge/skills/malloydata/publisher/malloy-gotchas-rendering/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/malloydata/publisher/malloy-gotchas-rendering"><img src="https://agentmods.dev/badge/skills/malloydata/publisher/malloy-gotchas-rendering.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 | $0.00044 | $0.01342 |
| Opus 5 | $0.00022 | $0.00671 |
| Sonnet 5 | $0.00009 | $0.00268 |
| Haiku 4.5 | $0.00004 | $0.00134 |
Grade A, and why
malloy-gotchas-rendering 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 9d 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rendering Gotchas
Read this before adding renderer annotations. These patterns cause most rendering issues.
One Tag Per Line
Each # annotation must be on its own line directly above the field. Never combine tags on one line.
// WRONG, will not work
# label="Revenue" # currency
revenue
// RIGHT
# label="Revenue"
# currency
revenue
No Fixed Scale on Measures
Use # currency (no scale) on measure definitions. The same measure renders at many granularities: usd0m turns $500 into $0.0M.
// WRONG on a measure definition
# currency=usd0m
measure: revenue is sum(total)
// RIGHT, no scale on measure
# currency
measure: revenue is sum(total)
Add scale (e.g., # currency=usd0m) only in views after confirming value ranges with queries.
# big_value Needs # label on Each Measure
# big_value
view: summary is {
aggregate:
# label="Revenue"
# currency
revenue
# label="Orders"
# number=auto
order_count
}
Without # label, big_value cards show raw field names which are often unclear.
Sparkline Setup
Sparklines in # big_value require TWO things: a # hidden nested view AND a .sparkline= reference.
# big_value { sparkline=trend }
view: revenue_kpi is {
aggregate:
# label="Revenue"
# currency
revenue
nest:
# line_chart { size=spark }
# hidden
trend is { group_by: order_date, aggregate: revenue, order_by: order_date }
}
If the sparkline doesn't show: check that # hidden is on the nested view AND the view name matches .sparkline=.
Comparison Deltas
# big_value { comparison_field=prior_month comparison_label="vs Last Month" }
view: rev_delta is {
aggregate:
# label="Revenue"
# currency
revenue
# hidden
prior_month
}
Use down_is_good=true for metrics where decrease is positive (churn, defects).
# dashboard Layout
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.
- 9d ago First seen · 129 lines · 44 tokens per session scan A 2d871f805ca3
malloy-gotchas-rendering is a skill published in the GitHub repository malloydata/publisher (100 stars, last pushed today), licensed MIT. It adds 44 tokens to every session and 1,342 once invoked, about $0.0002 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.
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