Create AgentSAFE
A framework-agnostic, git-native standard for defining AI agents
Overview
A framework-agnostic, git-native standard for defining AI agents
799d6d0ad18cOBSERVED · 2026-10-07What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: create-agent
description: "Creates and configures agent.yaml files, writes SOUL.md personality definitions, and sets up agent directory structures with skills, tools, and knowledge. Use when the user wants to configure an agent, create agent.yaml, write SOUL.md, set up agent directory structure, or customize agent settings."
license: MIT
metadata:
author: gitagent
version: "1.0.0"
category: authoring
---
# Create & Configure Agents
## Quick Start
1. Create directory structure: `mkdir -p my-agent/skills`
2. Write `agent.yaml` with required fields (see below)
3. Create `SOUL.md` with agent identity
4. Add skills, tools, and knowledge as needed
5. Validate: `opengap validate -d ./my-agent`
## agent.yaml Reference
### Required Fields
```yaml
spec_version: "0.1.0"
name: my-agent # Unique identifier
version: 1.0.0 # Semantic version
description: What this agent does
```
### Model Configuration
```yaml
model:
preferred: claude-sonnet-4-5-20250929
fallback:
- claude-haiku-4-5-20251001
constraints:
temperature: 0.2 # 0.0 - 1.0
max_tokens: 4096
top_p: 0.9
```
### Skills & Tools
```yaml
skills:
- code-review # Must match directory name in skills/
- security-audit
tools:
- lint-check # Must match filename in tools/ (without .yaml)
```
### Runtime
```yaml
runtime:
max_turns: 20 # Max conversation turns
timeout: 120 # Seconds
```
### Sub-Agents
```yaml
agents:
reviewer:
description: Reviews code quality
delegation:
mode: auto
triggers:
- "review this"
```
## Writing a Good SOUL.md
A SOUL.md should have these sections:
- **Core Identity** — Who is this agent? One clear sentence.
- **Communication Style** — How does it talk? (direct, friendly, formal, etc.)
- **Values & Principles** — What does it prioritize?
- **Domain Expertise** — What does it know?
- **Collaboration Style** — How does it work with the user?
## Writing RULES.md
Structure as:
- **Must Always** — Non-negotiable behaviors
- **Must Never** — Hard boundaries
- **Output Constraints** — Formatting rules
- **Interaction Boundaries** — Scope limits
## Adding Skills
Create `skills/<name>/SKILL.md`:
```markdown
---
name: my-skill
description: What this skill does
license: MIT
allowed-tools: Read Edit Grep
metadata:
version: "1.0.0"
---
# Instructions
[Detailed instructions for using this skill]
```
## Adding Tools
Create `tools/<name>.yaml`:
```yaml
name: my-tool
description: What this tool does
input_schema:
type: object
properties:
query:
type: string
description: Search query
required:
- query
```
## Adding Knowledge
Create `knowledge/index.yaml`:
```yaml
documents:
- path: reference.md
always_load: true # Include in system prompt
- path: appendix.md
always_load: false # Available on demand
```Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
799d6d0ad18cfull audit observations/trust-audit/skill/open-gitagent__create-agent.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-07 | 799d6d0ad18c | SAFE | B | 89 | first audit |
Questions
What does the Create Agent skill do?
A framework-agnostic, git-native standard for defining AI agents
Is Create Agent safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Create Agent access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (799d6d0ad18c), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.