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 pproenca/dot-skills --skill datadog-dashboardsgit clone --depth 1 https://github.com/pproenca/dot-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/skills/pproenca/dot-skills/datadog-dashboards)<a href="https://agentmods.dev/skills/pproenca/dot-skills/datadog-dashboards"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/datadog-dashboards/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/pproenca/dot-skills/datadog-dashboards"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/datadog-dashboards.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 | $0.00218 | $0.02459 |
| Opus 5 | $0.00109 | $0.01229 |
| Sonnet 5 | $0.00044 | $0.00492 |
| Haiku 4.5 | $0.00022 | $0.00246 |
Grade A, and why
datadog-dashboards 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 5d 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Datadog Dashboards
The decisions Datadog forces when you build a dashboard, and how to settle them. Every rule names the wrong default it corrects; there is no rule for what the model already gets right.
Pinned to a date, not a version. Datadog ships continuously, so every claim here was verified against docs.datadoghq.com in July 2026. Re-verify before trusting anything version-shaped — deprecations here (q, default, is_read_only, week_before()) still parse today.
Assumes the Datadog MCP server is connected (https://mcp.<site>/v1/mcp, toolsets=dashboards,widgets). Widget schemas are deliberately not restated in this skill — get_widget_reference returns them current at call time, and a copy here would go stale. If the server is not connected, set it up first (ship-endpoint-follows-the-site); this skill does not cover Terraform or raw API management.
When to Apply
Use this skill when:
- Creating or editing a Datadog dashboard, or reviewing one someone else built — especially a board assembled programmatically rather than in the graph editor, which is where the
.as_count()divergence bites - Writing any Datadog query destined for a widget: metric queries with space aggregators and modifiers, or
logs/spans/rumqueries withsearch+compute+group_by - Choosing between visualizations, or being handed a request that says "graph" but wants a ranking, a single number, or an error budget
- A dashboard shows numbers nobody trusts, panels that render "No data", or a value that changes when the time frame changes
- Asked for "a dashboard for X" with no stated audience — the interview in
scope-ask-audience-and-decisionruns before anything is built
This skill is NOT for:
- Managing dashboards through Terraform or the raw Dashboard API (this skill assumes the MCP server)
- Authoring monitors or defining SLOs — though
scope-not-every-question-is-a-dashboardcovers recognising when the request is one of those - Datadog instrumentation: agent config, tracer setup, or deciding which metrics to emit in the first place
- Non-Datadog observability platforms — the query semantics here do not transfer
What ships with it
34 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.
- AGENTS.md 12 KB
- assets/templates/_template.md 1.5 KB
- metadata.json 5.1 KB
- references/_sections.md 4.5 KB
- references/disco-absence-is-not-proof.md 2.7 KB
- references/disco-log-attributes-need-facets.md 2.5 KB
- references/disco-never-invent-metric-names.md 2.7 KB
- references/disco-read-type-and-unit-first.md 2.2 KB
- references/json-dashboard-tags-are-constrained.md 2.1 KB
- references/json-layout-follows-reflow-type.md 3.1 KB
- references/json-queries-and-formulas-not-q.md 2.7 KB
- references/json-template-variables-take-defaults.md 2.3 KB
- references/json-type-strings-differ-from-ui-names.md 2.4 KB
- references/layout-display-type-follows-metric-shape.md 2.7 KB
- references/layout-let-datadog-render-units.md 2.3 KB
- references/layout-put-widgets-in-groups.md 3.2 KB
- references/layout-size-for-the-medium.md 2.5 KB
- references/query-aggregate-before-dividing.md 3.5 KB
- references/query-append-as-count-explicitly.md 2.8 KB
- references/query-event-sources-take-objects.md 2.9 KB
- references/query-gauge-gaps-are-interpolated.md 2.8 KB
- references/query-percentiles-require-distributions.md 3.4 KB
- references/query-rollup-changes-the-number.md 3.2 KB
- references/query-scope-syntax-does-not-mix.md 2.1 KB
- references/query-top-n-subtotals-are-partial.md 2.6 KB
- references/scope-ask-audience-and-decision.md 2.7 KB
- references/scope-clone-before-building.md 2.5 KB
- references/scope-not-every-question-is-a-dashboard.md 2.7 KB
- references/scope-one-dashboard-many-variables.md 2.6 KB
- references/ship-endpoint-follows-the-site.md 2.3 KB
- references/ship-validate-before-upserting.md 3.5 KB
- references/widget-heatmap-is-not-distribution.md 3.0 KB
- references/widget-match-the-question.md 3.1 KB
- references/widget-reuse-alerting-primitives.md 2.7 KB
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.
- 5d ago First seen · 109 lines · 218 tokens per session scan A 98d3c5eae61f
datadog-dashboards is a skill published in the GitHub repository pproenca/dot-skills (205 stars, last pushed 24d ago), licensed MIT. It adds 218 tokens to every session and 2,459 once invoked, about $0.0011 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 2026-09-03.
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