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Dependency Risk Audit

Review Python dependencies for known security advisories, stale version pins, and unsafe upgrade paths. Use when users ask for dependency security reviews, requirements or lockfile audits, upgrade planning, pre-release risk checks, or remediation prioritization for Python projects.

Installable skillMITBy ragnarok22Updated Oct 31, 2026
INTENDED FOROpenClawInstall in a listed agent.

instructions.md

---
name: dependency-risk-audit-f5fb11104438
description: Review Python dependencies for known security advisories, stale version pins, and unsafe upgrade paths. Use when users ask for dependency security reviews, requirements or lockfile audits, upgrade planning, pre-release risk checks, or remediation prioritization for Python projects.
---

# Dependency Risk Audit

Run a repeatable dependency-risk audit for Python projects and return a prioritized remediation plan.

## Workflow

### Step 1: Identify dependency source of truth

1. Detect package manager and files in this order:
   - `poetry.lock` + `pyproject.toml`
   - `uv.lock` + `pyproject.toml`
   - `Pipfile.lock` + `Pipfile`
   - `requirements*.txt` and optional `constraints*.txt`
2. Prefer lockfiles for resolved versions.
3. Record Python runtime constraint from:
   - `pyproject.toml` (`requires-python`)
   - `.python-version`
   - CI config (if present)

### Step 2: Build dependency inventory

Create an inventory with:

- package name
- installed/resolved version
- dependency type (`direct` or `transitive`)
- pin style (`exact`, `range`, `unbounded`)
- marker constraints (Python version, platform markers)

If direct/transitive split is unavailable from project files, state that limitation explicitly.

### Step 3: Run security advisory checks

Prefer `pip-audit`. If unavailable, fall back to lockfile/static analysis and mark advisories as partially evaluated.

Common commands:

```bash
# requirements.txt projects
pip-audit -r requirements.txt -f json

# active environment
pip-audit -f json
```

For non-requirements workflows, export to requirements format first when possible, then audit that export.

For each finding, capture:

- advisory ID (for example `PYSEC-*`, `CVE-*`, `GHSA-*`)
- package + affected version
- fixed version range
- severity (if available)
- exploit or impact notes (if available)

### Step 4: Detect stale pins

Classify each direct dependency:

- `current`: no newer release in same major
- `minor/patch stale`: behind within same major
- `major stale`: newer major available
- `unknown`: latest data unavailable

Flag stale pins as higher risk when:

- package is internet-facing, auth-related, crypto-related, or framework/core runtime
- current version is multiple majors behind
- package has a recent advisory history

### Step 5: Evaluate upgrade-path safety

For each dependency requiring change, assess upgrade risk:

- `low`: patch/minor upgrade, no known breaking changes
- `medium`: minor upgrade with behavior/config changes
- `high`: major upgrade, Python-version jump, or resolver conflicts likely

Check these risk signals:

- major-version jump required to reach fixed secure version
- declared Python requirement of target version conflicts with project runtime
- conflicting upper bounds across dependencies
- framework-coupled libraries that typically require code migrations

When possible, propose a stepwise path:

1. patch/minor upgrades first
2. isolated major upgrades next
3. framework/runtime upgrades last

### Step 6: Produce the report

Return a markdown report using this structure:

```markdown
## Dependency Risk Audit

Audit root: `<path>`
Dependency source: `<lockfile or manifest>`
Python runtime target: `<version/constraint>`

### Executive Summary

- Overall risk: [LOW|MEDIUM|HIGH|CRITICAL]
- Known advisories: X (Critical Y, High Z, ...)
- Stale direct dependencies: X (Major-stale Y)
- Unsafe upgrade paths: X

### Security Advisories

| Package | Version | Advisory | Severity | Fixed In | Notes |
| ------- | ------- | -------- | -------- | -------- | ----- |

### Stale Pins

| Package | Current | Latest | Drift Type | Risk Notes |
| ------- | ------- | ------ | ---------- | ---------- |

### Upgrade Path Risks

| Package | Current -> Target | Risk | Why Risky | Recommended Path |
| ------- | ----------------- | ---- | --------- | ---------------- |

### Prioritized Remediation Plan

1. ...
2. ...
3. ...

### Not Evaluated

- Item + reason
```

## Scoring Guidance (optional)

If the user asks for a numeric score, start at `100` and deduct:

- Critical advisory: `-15`
- High advisory: `-10`
- Medium advisory: `-6`
- Low advisory: `-3`
- Major-stale direct dependency: `-4`
- High-risk upgrade path: `-5`

Floor at `0`. Cap repeated deductions for the same package/advisory pair.

## Remediation Loop

If the user asks for fixes:

1. Address critical/high advisories first, prioritizing low-risk upgrades.
2. Re-run audit steps 2-6.
3. Report risk delta, unresolved blockers, and required code changes/tests.

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.