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SKILL verified MIT Self-run

System Context Builder

skill-patonkikh-apes-system-context-builder · by patonkikh

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Install

$ agentstack add skill-patonkikh-apes-system-context-builder

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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How agent discovery & health will work →
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About

System Context Builder

Purpose

Produce a C4 Level 1 (System Context) diagram and description showing the system, its users, and external dependencies.

Input: Solution architecture or PRD, stakeholder list (optional) Output: System Context document with Mermaid diagram, actor descriptions, and external system inventory Examples: See [examples.md](examples.md) for worked input/output.


Workflow

Step 1: Identify the system boundary

Define:

  • System name and one-sentence purpose
  • What is inside the system boundary
  • What is explicitly outside

Step 2: Identify actors (users and personas)

List all human actors:

| Actor | Type (user/admin/operator) | Goal | Interaction | |-------|------------------------------|------|-------------|

Map to personas from product skills if available.

Step 3: Identify external systems

List all external systems the solution interacts with:

| System | Purpose | Protocol | Data exchanged | Owned by | |--------|---------|----------|----------------|----------|

Include: identity providers, payment, email, analytics, third-party APIs.

Step 4: Draw context diagram

Use Mermaid C4-style or flowchart:

flowchart LR
    actor1[Actor] --> system[System]
    system --> ext1[External System]

Rules:

  • One central system node
  • Actors on the left/top
  • External systems on the right/bottom
  • Label every arrow with action or data flow

Step 5: Document trust boundaries

Identify security boundaries between system and externals.

Step 6: Validate

Run Validation checklist.


Decision Rules

| Condition | Action | |-----------|--------| | No solution architecture or PRD | Stop; request input or run solution-architecture | | Actor overlaps with external system | Clarify: human actor vs software system | | More than 10 external systems | Group into categories; detail in appendix | | Undocumented integration | Mark as "TBD"; add to open questions | | System boundary unclear | Ask user to confirm scope before diagramming |


Validation

  • [ ] System boundary explicitly defined
  • [ ] All actors from PRD/user flows represented
  • [ ] All external integrations listed
  • [ ] Mermaid diagram renders with labeled relationships
  • [ ] Trust boundaries identified
  • [ ] No container-level detail (defer to container-diagram-builder)
  • [ ] Diagram matches written descriptions

Anti-patterns

  • Missing externals — ignoring auth provider, payment, email services.
  • Container in context — showing databases or internal services at Level 1.
  • Unlabeled arrows — relationships without action/data description.
  • Actor = system — treating batch jobs or admin tools as users without clarity.
  • Scope creep — including future-phase systems without marking as planned.

Best Practices

  • Follow C4 Model Level 1 strictly.
  • Use consistent naming from solution architecture components at abstract level.
  • Mark planned vs current integrations.
  • Align actors with PRD user flows.
  • Keep diagram readable: max 7±2 nodes.

Output Structure

# System Context: [System Name]

## System
**Name:** [name]
**Purpose:** [one sentence]
**Boundary:** [what's in/out]

## Actors
| Actor | Type | Goal | Interactions |
|-------|------|------|--------------|

## External Systems
| System | Purpose | Protocol | Data | Status |
|--------|---------|----------|------|--------|

## Context Diagram
```mermaid
[diagram]

Trust Boundaries

| Boundary | Controls | |----------|----------|

Open Questions

  • [ ] [Question]

---

# Next Skills

| Outcome | Recommended Skill |
|---------|-------------------|
| Decompose into containers | `architecture/container-diagram-builder` |
| Design APIs for externals | `architecture/api-designer` |
| Update solution architecture | `architecture/solution-architecture` |
| Record integration decisions | `architecture/adr-generator` |

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [patonkikh](https://github.com/patonkikh)
- **Source:** [patonkikh/APES](https://github.com/patonkikh/APES)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.