# Agent Tester

> Test agent: dry-run, unit, integration, compatibility

- **Type:** Skill
- **Install:** `agentstack add skill-aaaaqwq-agi-super-team-agent-tester`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [aAAaqwq](https://agentstack.voostack.com/s/aaaaqwq)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [aAAaqwq](https://github.com/aAAaqwq)
- **Source:** https://github.com/aAAaqwq/AGI-Super-Team/tree/master/skills/agent-tester

## Install

```sh
agentstack add skill-aaaaqwq-agi-super-team-agent-tester
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Agent Tester

> Tests a built agent: dry-run, unit tests, integration, compatibility with other agents.

## When to use

- After Agent Builder has finished
- "test agent X"
- "check agent compatibility"

## Input

- Agent from `$AGENTS_PATH/[name]/`
- Spec from `$AGENTS_PATH/specs/[name].spec.md`

## How to execute

### Step 1: Static analysis

Check the agent code:

- [ ] File exists and runs without syntax errors
- [ ] All imports resolve
- [ ] Config file is valid
- [ ] Paths in config exist
- [ ] Credentials are accessible
- [ ] Dry-run mode is implemented

### Step 2: Dry-run test

Run the agent with `--dry-run`:

```bash
python3 $AGENTS_PATH/[name]/[name]_agent.py --dry-run
```

Check:
- [ ] Agent starts without errors
- [ ] Logs are clear
- [ ] Shows what it WOULD do (without real side effects)
- [ ] Execution time is reasonable

### Step 3: Unit tests

Run tests:

```bash
python3 -m pytest $AGENTS_PATH/[name]/test_[name].py -v
```

Minimum tests:
- [ ] Input parsing works
- [ ] Business logic is correct on test data
- [ ] Error handling works (bad input, missing files, API timeout)
- [ ] Output format is correct

### Step 4: Integration test (one run on real data)

**WARNING: only with human approval!**

1. Back up data that the agent modifies:
```bash
cp [target.csv] [target.csv.backup]
```

2. Run the agent once on real data
3. Check output:
   - [ ] Data was written correctly
   - [ ] Format matches schema.yaml
   - [ ] Nothing broke
   - [ ] Git commit was created (if needed)

4. If something is wrong -- rollback:
```bash
cp [target.csv.backup] [target.csv]
```

### Step 5: Compatibility test

Check that the new agent does not conflict with existing ones:

```markdown
## Compatibility Matrix

| Agent | Shared Files | Potential Conflict | Status |
|-------|-------------|-------------------|--------|
| Email Pipeline | activities.csv | Write conflict | ? |
| [other agents] | ... | ... | ? |
```

Specific checks:
- [ ] **File locks**: can two agents write to the same CSV simultaneously
- [ ] **Data consistency**: does the agent overwrite another agent's data
- [ ] **ID generation**: do IDs conflict (person_id, activity_id, etc.)
- [ ] **Schedule overlap**: do agents run at the same time
- [ ] **Git conflicts**: does auto-commit create merge conflicts

### Step 6: Report

Create a test report file:

```
$AGENTS_PATH/specs/[name].test-report.md
```

**Report structure:**

```markdown
# Test Report: [Agent Name]

## Date: YYYY-MM-DD
## Tester: Process Analyst Agent

## Results

| Test | Status | Notes |
|------|--------|-------|
| Static analysis | PASS/FAIL | |
| Dry-run | PASS/FAIL | |
| Unit tests | PASS/FAIL | X/Y passed |
| Integration | PASS/FAIL | |
| Compatibility | PASS/FAIL | |

## Issues Found
1. [Issue description + severity]

## Recommendation
- [ ] READY for production
- [ ] NEEDS FIXES (list what)
- [ ] BLOCKED (list why)
```

## Output

- Test report in `$AGENTS_PATH/specs/[name].test-report.md`
- PASS/FAIL verdict
- List of issues if any

## Related skills

- `process-analyst` — creates the spec
- `agent-builder` — builds the agent
- `change-review` — validates CRM/PM changes

## Source & license

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

- **Author:** [aAAaqwq](https://github.com/aAAaqwq)
- **Source:** [aAAaqwq/AGI-Super-Team](https://github.com/aAAaqwq/AGI-Super-Team)
- **License:** MIT

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

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-aaaaqwq-agi-super-team-agent-tester
- Seller: https://agentstack.voostack.com/s/aaaaqwq
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.