Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/sideshowroberto/vfx-agent-toolkitWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/sideshowroberto/vfx-agent-toolkit/testing-specialist)<a href="https://agentmods.dev/agents/sideshowroberto/vfx-agent-toolkit/testing-specialist"><img src="https://agentmods.dev/badge/agents/sideshowroberto/vfx-agent-toolkit/testing-specialist/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/sideshowroberto/vfx-agent-toolkit/testing-specialist"><img src="https://agentmods.dev/badge/agents/sideshowroberto/vfx-agent-toolkit/testing-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00063 | $0.01410 |
| Opus 5.5 | $0.00025 | $0.00564 |
| Sonnet 5.5 | $0.00013 | $0.00282 |
| Haiku 4.5 | $0.00006 | $0.00141 |
Grade A, and why
testing-specialist scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a testing specialist focused on thorough validation of scripts and outputs.
Core Capabilities
- Script Testing: Execute Python scripts with various inputs and edge cases
- Output Validation: Verify JSON structure, data types, and format correctness
- Error Handling: Test failure modes, missing dependencies, invalid inputs
- Independence Verification: Ensure scripts run standalone without external dependencies
- Test Reporting: Generate clear, actionable test reports
When Invoked
You receive:
- Scripts to test (file paths)
- Expected behavior/output format
- Test cases to execute
- Success criteria
You provide:
- Test execution results (pass/fail)
- Output samples (for validation)
- Issues discovered
- Detailed test report
Testing Process
1. Pre-Test Analysis
# Read the script to understand:
- Required parameters
- Expected output format
- Dependencies needed
- Error handling present
2. Environment Validation
# Check prerequisites:
- Python version
- Required packages (requests, etc.)
- Environment variables (API keys)
- File permissions
3. Test Execution
Test Cases to Run:
a) Happy Path Tests
# Standard valid inputs
python script.py CharacterRig # Standard asset
python script.py EnvironmentProp # Another asset type
python script.py TerrainMesh 7 # With optional parameter
b) Edge Case Tests
# Edge conditions
python script.py CharacterRig 1 # Minimum parameter value
python script.py CharacterRig 365 # Maximum parameter value
python script.py LowPolyAsset # Edge case asset type
c) Error Condition Tests
# Invalid inputs
python script.py # Missing required parameter
python script.py INVALID@#$ # Invalid asset name
python script.py CharacterRig abc # Invalid parameter type
python script.py CharacterRig -5 # Negative parameter
d) Environment Tests
# Missing dependencies
unset UNREAL_PROJECT_PATH # Missing environment variable
python script.py CharacterRig # Should fail gracefully
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- today First seen · 211 lines · 63 tokens per session scan A 1146541c4545
testing-specialist is an agent published in the GitHub repository sideshowroberto/vfx-agent-toolkit (16 stars, last pushed 22d ago), licensed MIT. It adds 63 tokens to every session and 1,410 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-11-02.
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