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 skills add MatrixFounder/Agentic-development --skill tdd-strictgit clone --depth 1 https://github.com/MatrixFounder/Agentic-developmentWrote 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/skills/matrixfounder/agentic-development/tdd-strict)<a href="https://agentmods.dev/skills/matrixfounder/agentic-development/tdd-strict"><img src="https://agentmods.dev/badge/skills/matrixfounder/agentic-development/tdd-strict/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/skills/matrixfounder/agentic-development/tdd-strict"><img src="https://agentmods.dev/badge/skills/matrixfounder/agentic-development/tdd-strict.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 | $0.00024 | $0.00807 |
| Opus 5.5 | $0.00010 | $0.00323 |
| Sonnet 5.5 | $0.00005 | $0.00161 |
| Haiku 4.5 | $0.00002 | $0.00081 |
Grade A, and why
tdd-strict 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 1mo 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strict TDD Protocol (High Assurance)
This skill enforces a rigorous, evidence-based TDD cycle designed to eliminate "lucky passes" and "code hallucinations". It is stricter than the standard tdd-stub-first.
[!IMPORTANT] ACTIVATION: This skill replaces the standard TDD cycle. When active, you MUST follow the Strict Cycle below.
1. The Strict Cycle (Red-Red-Green-Refactor)
You must strictly follow this 4-step loop for EVERY test case.
Step 1: Write Test + EXPECTED_FAIL_REASON
Write the test case (or stub) and explicitly comment what exact error it should raise.
- Why: Prove that you know why it fails.
- Example:
# EXPECTED_FAIL_REASON: AssertionError: Expected 200 OK, got 404 because endpoint is not registered. def test_create_user(client): resp = client.post("/users", json={"name": "Alice"}) assert resp.status_code == 200
Step 2: Verify Fail (The "Red" Check)
Run the test. It MUST FAIL.
- Check: Does the actual error match
EXPECTED_FAIL_REASON? - Pass (on Fail): If it fails as expected -> Proceed.
- Fail (on Logic): If it crashes with
SyntaxErrororImportError-> Fix the test, do not touch code. - Fail (on Pass): If the test passes immediately -> STOP. You have a Logic Leak or a bad test. Delete code and investigate.
Step 3: Minimal Code Implementation (The "Minimalism Law")
Implement ONLY the code required to make the test pass.
- Prohibited: "While I'm here, I'll add the update method too."
- Prohibited: Adding generic exception handlers
try: ... except: passjust to silence errors. - Prohibited: Speculative architecture not required by the test.
[!CRITICAL] Dead Code Rule: If you write a line of code, ask: "If I delete this line, will the current test fail?" If the answer is No, DELETE IT.
Step 4: Verify Pass + EXPLAIN_PASS_REASON
Run the test. It MUST PASS.
- Log: Explicitly state why it passed now.
- Example: "PASS: Validated that registration logic now writes to DB returning 200."
- Refactor: Now (and only now) you may clean up the code.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 66 lines · 24 tokens per session scan A 255f0c11cfcf
tdd-strict is a skill published in the GitHub repository MatrixFounder/Agentic-development (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 24 tokens to every session and 807 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
08-debug
Reproduce and fix a known bug, or find an unknown root cause by hypothesis validation. Use when the user wants to fix a bug, find why something breaks, or reopen a stuck investigation. Not for building a feature or reviewing a diff.
hatch3r-bug-fix
Step-by-step bug fix workflow. Diagnose root cause, implement minimal fix, write regression test. Use when fixing bugs, working on bug report issues, or when the user mentions a bug.
systematic-debugging
Structured root-cause debugging loop — reproduce, isolate, form a hypothesis, verify the fix. Use whenever a bug, crash, test failure, or unexpected behavior is reported.
diagnose-hard-problem
Disciplined diagnosis loop for hard problems, diagnosing bugs and regressions. Reproduce → minimise → hypothesise → instrument → fix → regression-test.
systematic-debugging
4-phase root cause debugging: understand bugs before fixing.
build-test
Run the project's build / typecheck / lint / test commands and emit the build.passing + tests.passing signals devloop convergence reads.