ClawHub is a public registry where OpenClaw users publish, version, search, and install text-based agent skills and OpenClaw packages. It provides web browsing, a CLI-oriented API, moderation, vector search, and artifact hosting for code plugins, bundle plugins, and experimental whole-agent packages. The catalogue skills and agents are entries that can be discovered or used through this registry.
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 openclaw/clawhub --skill building-dashboardsgit clone --depth 1 https://github.com/openclaw/clawhubWrote 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/openclaw/clawhub/building-dashboards)<a href="https://agentmods.dev/skills/openclaw/clawhub/building-dashboards"><img src="https://agentmods.dev/badge/skills/openclaw/clawhub/building-dashboards.svg" alt="Measured on agentmods" 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 | $0.00051 | $0.04881 |
| Opus 5 | $0.00026 | $0.02440 |
| Sonnet 5 | $0.00010 | $0.00976 |
| Haiku 4.5 | $0.00005 | $0.00488 |
Grade A, and why
building-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 7d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- building-dashboards — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 357 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Building Dashboards
Philosophy
- Decisions first. Every panel answers a question that leads to an action.
- Overview → drilldown → evidence. Start broad, narrow on click/filter, end with raw logs.
- Rates and percentiles over averages. Averages hide problems; p95/p99 expose them.
- Simple beats dense. One question per panel. No chart junk.
- Validate with data. Never guess fields—discover schema first.
- Compute what's asked, or defer. If a panel can't be computed, replace it with a
Notedocumenting the blocker. Never substitute a different quantity, even disclosed. See Compute or Defer.
Entry Points
| Starting from | Workflow |
|---|---|
| Vague description | Intake → check dataset kind → design blueprint (APL or MPL) → queries per panel → deploy |
| Template | Pick template → customize dataset/service/env → deploy |
| Splunk dashboard | Extract SPL → translate via spl-to-apl → map to chart types → deploy |
| Grafana dashboard | Project canonical panel spec (expr, legendFormat, unit, title, description) → translate PromQL → map chart types → deploy. See reference/grafana-migration.md. |
| Exploration | Use axiom-sre to discover schema/signals → productize into panels |
Intake: What to Ask First
-
Audience & decision
- Oncall triage? (fast refresh, error-focused)
- Team health? (daily trends, SLO tracking)
- Exec reporting? (weekly summaries, high-level)
-
Scope
- Service, environment, region, cluster, endpoint?
- Single service or cross-service view?
-
Dataset kind. Run
scripts/metrics/datasets <deploy>and checkkind.otel:metrics:v1→ metrics dataset, follow the Metrics path.- anything else → events/logs dataset, follow the APL path.
Never run
getschemaon a metrics dataset. It returns 0 rows without error.APL path: discover fields with
['dataset'] | where _time between (ago(1h) .. now()) | getschema. Continue to steps 4–5.
What ships with it
47 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.
- .meta/.gitkeep 0 B
- README.md 2.9 KB
- reference/chart-config.md 6.7 KB
- reference/chart-cookbook.md 11 KB
- reference/design-playbook.md 6.9 KB
- reference/grafana-migration.md 19 KB
- reference/layout-recipes.md 2.9 KB
- reference/metrics-mpl.md 5.1 KB
- reference/promql-to-mpl.md 16 KB
- reference/smartfilter.md 3.4 KB
- reference/splunk-migration.md 6.5 KB
- reference/templates/api-health.json 4.8 KB
- reference/templates/blank.json 261 B
- reference/templates/org-usage-cost-control.json 27 KB
- reference/templates/service-overview-with-filters.json 6.5 KB
- reference/templates/service-overview.json 4.2 KB
- scripts/axiom-api 2.4 KB
- scripts/chart-add 10 KB
- scripts/dashboard-assemble 8.8 KB
- scripts/dashboard-chart-patch 3.4 KB
- scripts/dashboard-copy 1.4 KB
- scripts/dashboard-create 1.5 KB
- scripts/dashboard-delete 698 B
- scripts/dashboard-from-template 1.5 KB
- scripts/dashboard-get 501 B
- scripts/dashboard-link 1.9 KB
- scripts/dashboard-list 675 B
- scripts/dashboard-new 1.0 KB
- scripts/dashboard-normalize.jq 257 B
- scripts/dashboard-update 1.8 KB
- scripts/dashboard-validate 6.8 KB
- scripts/layout-pack 5.4 KB
- scripts/metrics/axiom-api 2.5 KB
- scripts/metrics/datasets 991 B
- scripts/metrics/metrics-info 17 KB
- scripts/metrics/metrics-query 8.5 KB
- scripts/metrics/metrics-spec 633 B
- scripts/metrics/mpl-validate-chart 3.9 KB
- scripts/metrics/resolve-url 2.7 KB
- scripts/metrics/unit-for 4.3 KB
- scripts/setup 2.4 KB
- scripts/test-toml-parsing 9.8 KB
- tests/manual-tests.md 12 KB
- tests/test-normalize.sh 3.1 KB runs code
- tests/test-script-output.sh 5.7 KB runs code
- tests/test-templates.sh 1.5 KB runs code
- tests/unit-for.sh 4.6 KB runs code
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.
- 7d ago First seen · 357 lines · 51 tokens per session scan A 121c66c65beb
building-dashboards is a skill published in the GitHub repository openclaw/clawhub (9,393 stars, last pushed today), licensed MIT. It adds 51 tokens to every session and 4,881 once invoked, about $0.0003 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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