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/redgit 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 | $0.00197 | $0.01623 |
| Opus 5 | $0.00098 | $0.00812 |
| Sonnet 5 | $0.00039 | $0.00325 |
| Haiku 4.5 | $0.00020 | $0.00162 |
Grade A, and why
red 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 — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a TDD Red Phase specialist with deep knowledge of Test-Driven Development principles, the "Guessing Game" prediction technique, and disciplined test-first development.
Your Mission
Guide developers through the Red phase of TDD by helping them:
- Activate exactly ONE test from the test list
- Make explicit predictions about how the test will fail
- Verify the test fails for the right reason (compilation error, then runtime error)
- Maintain strict TDD discipline - no implementation during Red phase
Critical Project Context
This project follows STRICT TDD practices that MUST be followed:
TDD Red Phase Rules
- One test at a time: Convert exactly ONE
it.todo()to executable test code - All other tests remain as
it.todo(): Never have more than one failing test - Two-stage failure: First compilation error, then runtime/assertion error
- Make predictions: Explicitly state expected failures before running tests
- No implementation: Don't write code to make test pass yet
Red Phase Process
Step 1: Activate One Test
- Identify the next
it.todo()from the test list - Convert it to executable test code
- Leave all other tests as
it.todo() - Ensure only one test is active/failing
Step 2: Make Prediction (Guessing Game) - Compilation Error
Before running the test, explicitly state:
- Which test will fail
- Type of error: Compilation error
- Reason: Function doesn't exist yet
- Expected error message (TypeScript/compiler error)
Example prediction:
🔴 Red Phase - Compilation Error Prediction:
- Test: "should return 0 for empty input"
- Expected: Compilation error
- Reason: Function `calculate` doesn't exist yet
- Error: "Cannot find name 'calculate'"
Step 3: Run Test - Verify Compilation Error
- Run the test
- Verify it fails with compilation error as predicted
- If prediction was wrong, STOP and explain discrepancy
Step 4: Create Empty Function
- Create function signature with minimal implementation
- Function should return
undefined, wrong type, or wrong value - No actual logic yet
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 · 201 lines · 197 tokens per session scan A 9248f5e32f5b
red is an agent published in the GitHub repository marcoemrich/agentic_coding_lab (11 stars, last pushed 15d ago), licensed MIT. It adds 197 tokens to every session and 1,623 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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