Allows agents to query and inspect QDash instances and chip metrics via the qdash-client.
Install
mkdir -p .claude/skills/qdash && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/17508" && unzip -o skill.zip -d .claude/skills/qdash && rm skill.zipInstalls to .claude/skills/qdash
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Work with a running QDash instance through qdash-client and saved local profiles. Use when an agent needs to inspect chips, metrics, task results, calibration data, provenance, issues, flows, executions, project files, project-scoped QDash API data, or OpenAPI endpoints from QDash using qdash-client, ~/.config/qdash/config.ini, XDG_CONFIG_HOME/qdash/config.ini, QDASH_* environment variables, or a local oqtopus-team/qdash checkout.Key capabilities
- →Query QDash for chip data and metrics
- →Retrieve task results and calibration data
- →Inspect project files and provenance statistics
- →Access QDash OpenAPI endpoints
- →Use saved local profiles for authentication
- →Summarize returned data from QDash
How it works
This skill uses `qdash-client` to interact with a running QDash instance, retrieving various data types like chips, metrics, and task results. It use saved local profiles for secure access.
Inputs & outputs
When to use qdash
- →Inspect chip metrics
- →Query task results
- →Verify calibration data
- →Review project issues
About qdash
Automates the retrieval of QDash chip data, metrics, and OpenAPI endpoints. It leverages saved profiles to maintain security while performing read-only data analysis.
Work with a running QDash instance through qdash-client and saved local profiles. Use when an agent needs to inspect chips, metrics, task results, calibration data, provenance, issues, flows, executions, project files, project-scoped QDash API data, or OpenAPI endpoints from QDash using qdash-client
When not to use it
- →When creating, updating, deleting, or re-executing QDash entities without explicit user confirmation
Limitations
- →Primarily for read-only operations
- →Requires explicit user confirmation for write or operationally sensitive actions
- →Assumes `qdash-client` is the required API transport
How it compares
This skill provides a programmatic and secure way to query QDash data using `qdash-client` and saved profiles, avoiding manual UI scraping or direct `curl` calls with hardcoded credentials.
Compared to similar skills
qdash side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| qdash (this skill) | 0 | 4mo | Review | Intermediate |
| model-usage | 5 | 5mo | Review | Beginner |
| analytics-tracking | 7 | 9mo | No flags | Intermediate |
| splunk-analysis | 5 | 8mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
You might also like
model-usage
openclaw
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
analytics-tracking
davila7
When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," or "tracking plan." For A/B test measurement, see ab-test-setup.
splunk-analysis
incidentfox
Splunk log analysis using SPL (Search Processing Language). Use when investigating issues via Splunk logs, saved searches, or alerts.
tracking-crypto-derivatives
jeremylongshore
Track cryptocurrency futures, options, and perpetual swaps with funding rates, open interest, liquidations, and comprehensive derivatives market analysis. Use when monitoring derivatives markets, analyzing funding rates, tracking open interest, finding liquidation levels, or researching options flow. Trigger with phrases like "funding rate", "open interest", "perpetual swap", "futures basis", "liquidation levels", "options flow", "put call ratio", "derivatives analysis", or "BTC perps".
weights-and-biases
davila7
Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform
perf-analyzer
ComposioHQ
Use when synthesizing perf findings into evidence-backed recommendations and decisions.