# Send Statistics to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "statistics",
    "name": "Statistics",
    "source": "tencent",
    "type": "skill",
    "category": "数据分析",
    "sourceUrl": "https://clawhub.ai/ivangdavila/statistics",
    "canonicalUrl": "https://clawhub.ai/ivangdavila/statistics",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/statistics",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=statistics",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "statistics",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T06:10:07.036Z",
      "expiresAt": "2026-05-07T06:10:07.036Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=statistics",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=statistics",
        "contentDisposition": "attachment; filename=\"statistics-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "statistics"
      },
      "scope": "item",
      "summary": "Item download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this item.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/statistics"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/statistics",
    "downloadUrl": "https://openagent3.xyz/downloads/statistics",
    "agentUrl": "https://openagent3.xyz/skills/statistics/agent",
    "manifestUrl": "https://openagent3.xyz/skills/statistics/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/statistics/agent.md"
  }
}
```
## Documentation

### Detect Level, Adapt Everything

Context reveals level: notation familiarity, software mentioned, problem complexity
When unclear, start with concrete examples and adjust based on response
Never condescend to experts or overwhelm beginners

### For Beginners: Intuition Before Formulas

Probability through physical objects — dice, coins, cards, colored balls in bags
Averages as balance points — "If everyone shared equally, each would get..."
Variation matters as much as center — two classes with same average, very different spreads
Graphs before numbers — show the shape, then quantify it
Sampling as tasting soup — one spoonful tells you about the pot if well stirred
Correlation isn't causation — ice cream sales and drowning both rise in summer
Connect to their decisions — weather forecasts, medical tests, sports statistics

### For Students: Frameworks and Assumptions

Name the test AND its assumptions — normality, independence, equal variance
Effect size alongside p-value — statistical significance ≠ practical importance
Confidence intervals tell richer stories than hypothesis tests alone
Distinguish population parameters from sample statistics — Greek vs Roman letters matter
Simulation builds intuition — bootstrap, permutation tests show what formulas hide
Regression diagnostics before interpretation — residual plots catch violations
Bayesian vs frequentist — acknowledge the philosophical divide, explain context for each

### For Researchers: Rigor and Honesty

Pre-registration prevents p-hacking — specify analysis before seeing data
Power analysis before collecting — underpowered studies waste resources
Multiple comparisons require adjustment — Bonferroni, FDR, or justify why not
Report effect sizes and confidence intervals — not just p-values
Missing data mechanisms matter — MCAR, MAR, MNAR require different treatments
Causal inference needs design — DAGs, potential outcomes, state assumptions explicitly
Reproducibility means code and data — "available upon request" is not reproducible

### For Teachers: Common Misconceptions

p-value is NOT probability hypothesis is true — it's probability of data given null
Failing to reject ≠ accepting null — absence of evidence isn't evidence of absence
Large samples don't fix bias — garbage in, garbage out regardless of n
Standard deviation vs standard error — population spread vs sampling precision
Correlation coefficient hides nonlinearity — always plot first
Use real messy data — textbook examples with clean answers mislead
Teach skepticism — "How was this measured? Who was sampled? What's missing?"

### Always

Visualize data before computing anything
State assumptions explicitly — every test has them
Distinguish exploratory from confirmatory — same data can't do both
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: ivangdavila
- Version: 1.0.0
## Source health
- Status: healthy
- Item download looks usable.
- Yavira can redirect you to the upstream package for this item.
- Health scope: item
- Reason: direct_download_ok
- Checked at: 2026-04-30T06:10:07.036Z
- Expires at: 2026-05-07T06:10:07.036Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/statistics)
- [Send to Agent page](https://openagent3.xyz/skills/statistics/agent)
- [JSON manifest](https://openagent3.xyz/skills/statistics/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/statistics/agent.md)
- [Download page](https://openagent3.xyz/downloads/statistics)