Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/dynatrace-oss/dynatrace-snowflake-observability-agentnpx agentmods add skills/dynatrace-oss/dynatrace-snowflake-observability-agent/dashboard-docsWrote 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/dynatrace-oss/dynatrace-snowflake-observability-agent/dashboard-docs)<a href="https://agentmods.dev/skills/dynatrace-oss/dynatrace-snowflake-observability-agent/dashboard-docs"><img src="https://agentmods.dev/badge/skills/dynatrace-oss/dynatrace-snowflake-observability-agent/dashboard-docs/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/dynatrace-oss/dynatrace-snowflake-observability-agent/dashboard-docs"><img src="https://agentmods.dev/badge/skills/dynatrace-oss/dynatrace-snowflake-observability-agent/dashboard-docs.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 | $0.00011 | $0.01741 |
| Opus 5 | $0.00005 | $0.00870 |
| Sonnet 5 | $0.00002 | $0.00348 |
| Haiku 4.5 | $0.00001 | $0.00174 |
Grade A, and why
dashboard-docs 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 10d 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 — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Dashboard and Workflow Documentation
Use this skill whenever you create or update a dashboard or workflow. Documentation is a first-class deliverable — never skip it.
Files to Produce
For every dashboard:
docs/dashboards/<name>/readme.md ← main documentation (you write this)
docs/dashboards/<name>/img/.gitkeep ← placeholder until screenshots are taken
docs/dashboards/README.md ← index (update the table)
For every workflow:
docs/workflows/<name>/readme.md
docs/workflows/<name>/img/.gitkeep
docs/workflows/README.md
readme.md Structure
Use a narrative-first, use-case-oriented style. The canonical reference is
docs/dashboards/snowpipes-monitoring/readme.md and
docs/dashboards/tasks-pipelines/readme.md — read one of them before writing.
Rules:
- All fenced code blocks must specify a language — use
textfor plain text, paths, or commit messages when no more specific language applies. Never leave a bare```. - Open with one paragraph explaining what it monitors, who it is for, and why it matters.
- Place the overview screenshot immediately after the opening paragraph, before any sections.
- Organise the body by dashboard section, not by tile. Each section gets its own
##heading. - Embed the section screenshot at the top of each section, before the prose.
- Write narrative prose for each section: open with the question(s) the section answers, then describe each tile in terms of what it reveals and what action it drives. Avoid bare bullet lists of tile names — explain the "so what".
- Use bullet points only for compact per-tile detail (e.g. what a colour means, a data latency caveat).
- Inline a close-up screenshot for any tile whose visual requires explanation (e.g. honeycomb).
- Tables are acceptable for Dashboard Variables and Known Limitations — but not as a substitute for section prose.
- End with Required Plugins, Dashboard Variables (table), and Known Limitations.
- Do not include a "Use Cases Covered" table or a "Filtering to a Specific Use Case" section as separate headings — weave filtering guidance naturally into the relevant section prose.
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.
- 10d ago First seen · 215 lines · 11 tokens per session scan A bf3fa9a5c7b9
dashboard-docs is a skill published in the GitHub repository dynatrace-oss/dynatrace-snowflake-observability-agent (10 stars, last pushed yesterday), licensed MIT. It adds 11 tokens to every session and 1,741 once invoked, about $0.0001 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 2026-09-02.
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