# Send Admet Prediction 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": "admet-prediction",
    "name": "Admet Prediction",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/huifer/admet-prediction",
    "canonicalUrl": "https://clawhub.ai/huifer/admet-prediction",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/admet-prediction",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=admet-prediction",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md",
      "reference/admet-properties.md",
      "reference/toxicity-alerts.md",
      "scripts/admet_predict.py"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-23T16:43:11.935Z",
      "expiresAt": "2026-04-30T16:43:11.935Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
        "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/admet-prediction"
    },
    "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/admet-prediction",
    "downloadUrl": "https://openagent3.xyz/downloads/admet-prediction",
    "agentUrl": "https://openagent3.xyz/skills/admet-prediction/agent",
    "manifestUrl": "https://openagent3.xyz/skills/admet-prediction/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/admet-prediction/agent.md"
  }
}
```
## Documentation

### ADMET Prediction Skill

Predict ADMET properties to prioritize compounds for development.

### Quick Start

/admet "CC1=CC=C(C=C1)CNC" --full
/pk-prediction --library compounds.sdf --threshold 0.7
/toxicity-screen CHEMBL210 --include hERG,DILI,Ames

### What's Included

PropertyPredictionModelAbsorptionCaco-2, HIA, PgpML/QSARDistributionVDss, PPB, BBBML/QSARMetabolismCYP inhibition, clearanceML/QSARExcretionClearance, half-lifeML/QSARToxicityhERG, DILI, Ames, mutagenicityML/QSAR

### Output Structure

# ADMET Profile: CHEMBL210 (Osimertinib)

## Summary
| Property | Value | Status |
|----------|-------|--------|
| Drug-likeness | Pass | ✓ |
| Lipinski Ro5 | 0 violations | ✓ |
| VEBER | Pass | ✓ |
| PAINS | 0 alerts | ✓ |
| Brenk | 0 alerts | ✓ |

## Absorption
| Property | Prediction | Confidence |
|----------|------------|-------------|
| HIA | 98% | High |
| Caco-2 | 15.2 × 10⁻⁶ cm/s | High |
| Pgp substrate | Yes | Medium |
| F30% | 65% | Medium |

## Distribution
| Property | Prediction | Confidence |
|----------|------------|-------------|
| VDss | 5.2 L/kg | Medium |
| PPB | 95% | High |
| BBB | Yes | High |
| CNS MPO | 5.5 | Good |

## Metabolism
| Property | Prediction | Confidence |
|----------|------------|-------------|
| CYP3A4 substrate | Yes | High |
| CYP3A4 inhibitor | Yes | Medium |
| CYP2D6 inhibitor | No | High |
| CYP2C9 inhibitor | No | Medium |
| Clearance | 8.5 mL/min/kg | Low |

## Excretion
| Property | Prediction | Confidence |
|----------|------------|-------------|
| Renal clearance | 10% | Medium |
| Half-life | 48 hours | High |

## Toxicity
| Property | Prediction | Confidence |
|----------|------------|-------------|
| hERG inhibition | No | High |
| DILI | Concern | Medium |
| Ames mutagenicity | Negative | High |
| Carcinogenicity | Negative | Medium |
| Respiratory toxicity | No | Low |

## Recommendations
**Strengths**:
- Good oral bioavailability (65%)
- Brain penetration (BBB permeable)
- Low hERG risk

**Concerns**:
- DILI concern - monitor in preclinical studies
- CYP3A4 inhibition - potential DDIs

**Overall**: Good ADMET profile. Progress to in vivo PK.

### Drug-Likeness

RulePass CriteriaLipinski Ro5≤ 1 violationVeberRotB ≤ 10, PSA ≤ 140 ŲEganLogP ≤ 5, PSA ≤ 131 ŲMDDRMW ≤ 600, LogP ≤ 5

### Absorption

PropertyGoodModeratePoorHIA>80%40-80%<40%Caco-2>101-10<1F30%>70%30-70%<30%

### Distribution

PropertyGoodModeratePoorVDss0.3-5 L/kg<0.3 or >5ExtremePPB<90%90-95%>95%BBBLogBB > 0.3-0.3 to 0.3< -0.3

### Toxicity Alerts

AlertActionhERG inhibitionCardiotoxicity riskDILI positiveHepatotoxicity riskAmes positiveMutagenicity riskPAINSAssay interferenceStructural alertsInvestigate further

### Running Scripts

# Full ADMET profile
python scripts/admet_predict.py --smiles "CC1=CC=C..." --full

# Batch prediction
python scripts/admet_predict.py --library compounds.sdf --output results.csv

# Specific properties
python scripts/admet_predict.py --smiles "..." --properties hERG,DILI,CYP

# Filter by criteria
python scripts/admet_filter.py --library compounds.sdf --rules lipinski,veber

### Requirements

pip install rdkit

# Optional for advanced models
pip install deepchem admet-x

### Reference

reference/admet-properties.md - Detailed property reference
reference/toxicity-alerts.md - Toxicity alerts reference
reference/pk-models.md - PK prediction models

### Best Practices

Use multiple models: Consensus predictions more reliable
Check confidence: Low confidence = experimental verification needed
Consider chemistry: Novel structures less reliable
Iterative design: Use predictions to guide synthesis
Validate early: Confirm key predictions experimentally

### Common Pitfalls

PitfallSolutionOver-reliance on predictionsExperimental validation requiredIgnoring confidenceCheck model applicability domainSingle model onlyUse consensus of multiple modelsIgnoring chemistryNovel scaffolds = uncertain predictionsLate-stage testingEarly ADMET screening saves time

### Limitations

Models are approximate: Errors common
Novel chemistry: Less reliable for new scaffolds
In vitro-in vivo gap: Predictions don't always translate
Species differences: Human predictions based on animal data
Complex mechanisms: Some toxicity not predicted
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: huifer
- Version: 0.1.0
## Source health
- Status: healthy
- Source download looks usable.
- Yavira can redirect you to the upstream package for this source.
- Health scope: source
- Reason: direct_download_ok
- Checked at: 2026-04-23T16:43:11.935Z
- Expires at: 2026-04-30T16:43:11.935Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/admet-prediction)
- [Send to Agent page](https://openagent3.xyz/skills/admet-prediction/agent)
- [JSON manifest](https://openagent3.xyz/skills/admet-prediction/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/admet-prediction/agent.md)
- [Download page](https://openagent3.xyz/downloads/admet-prediction)