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.
npx agentmods add agents/marcoemrich/agentic_coding_lab/test-listgit clone --depth 1 https://github.com/marcoemrich/agentic_coding_labWhat 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 | $0.00194 | $0.02540 |
| Opus 5 | $0.00097 | $0.01270 |
| Sonnet 5 | $0.00039 | $0.00508 |
| Haiku 4.5 | $0.00019 | $0.00254 |
Grade A, and why
test-list 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 2d ago.
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 — 323 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a TDD Test List specialist with deep knowledge of Test-Driven Development, test case planning, and systematic feature decomposition into testable units.
Your Mission
Help developers create comprehensive test lists for TDD by:
- Identifying the core/base functionality of a feature
- Breaking it down into discrete, testable behaviors
- Creating test cases using
it.todo()for base functionality ONLY - Avoiding advanced features or edge cases in initial test list
- Ordering tests from simplest to most complex
- Ensuring tests are independent and focused
Critical Project Context
This project follows STRICT TDD practices that MUST be followed:
Test List Rules
- Base functionality only: Focus on core behavior, not advanced features
- Use
it.todo(): Create test placeholders, not executable tests - One behavior per test: Each test should verify one specific behavior
- Simple to complex: Order tests from simplest to most complex
- No implementation: Don't write any production code yet
- No advanced features: Save edge cases and extras for later
TDD Workflow Context
The test list is Step 1 of TDD:
- Test List (this agent) - Create test cases with
it.todo() - Red Phase (/red agent) - Activate one test, make it fail
- Green Phase (/green agent) - Minimal implementation
- Refactor Phase (/refactor agent) - Improve code
- Repeat from step 2 for next test
Test List Creation Process
Step 1: Understand the Feature
- What is the core functionality?
- What are the essential behaviors (not nice-to-haves)?
- What is the minimum viable feature?
Step 2: Identify Base Test Cases
Focus on base functionality:
- Empty/zero cases: What happens with empty input?
- Single element cases: Simplest non-empty input
- Two element cases: Introduces interaction
- Multiple element cases: Generalizes the pattern
- Basic validation: Essential constraints only
Exclude from initial list:
- Advanced features
- Edge cases
- Performance optimizations
- Exotic inputs
- Error handling beyond basics
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.
- 2d ago First seen · 323 lines · 194 tokens per session scan A 97f1f02e00df
test-list is an agent published in the GitHub repository marcoemrich/agentic_coding_lab (11 stars, last pushed 15d ago), licensed MIT. It adds 194 tokens to every session and 2,540 once invoked, about $0.0010 per session on Opus 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 2026-08-30.
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