Borrowing it
Nothing to install: this file belongs to anthonylee991/gemini-superpowers-antigravity. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/anthonylee991/gemini-superpowers-antigravity/main/.agent/skills/superpowers-tdd/SKILL.mdgit clone --depth 1 https://github.com/anthonylee991/gemini-superpowers-antigravityWrote 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/anthonylee991/gemini-superpowers-antigravity/superpowers-tdd)<a href="https://agentmods.dev/skills/anthonylee991/gemini-superpowers-antigravity/superpowers-tdd"><img src="https://agentmods.dev/badge/skills/anthonylee991/gemini-superpowers-antigravity/superpowers-tdd/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/anthonylee991/gemini-superpowers-antigravity/superpowers-tdd"><img src="https://agentmods.dev/badge/skills/anthonylee991/gemini-superpowers-antigravity/superpowers-tdd.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 | $0.00036 | $0.00239 |
| Opus 5 | $0.00018 | $0.00120 |
| Sonnet 5 | $0.00007 | $0.00048 |
| Haiku 4.5 | $0.00004 | $0.00024 |
Grade A, and why
superpowers-tdd 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 11d 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.
What it actually says
TDD Skill
When to use this skill
- new features that can be unit tested
- bug fixes (always add a regression test if practical)
- refactors (protect behavior with tests first)
Rules
- Prefer red -> green -> refactor.
- If tests are hard, still add verification: minimal repro script, integration test, or clear manual steps.
- Keep tests focused: one behavior per test where possible.
- Name tests by behavior, not implementation details.
Process
- Define the behavior change (what should be true after).
- Write/adjust a test to capture it (make it fail first if possible).
- Implement the minimal change to pass.
- Refactor if needed (keep passing).
- Run the relevant test suite + any linters.
Output requirements
When you change code, include:
- what tests you added/changed
- how to run them
- what they prove
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.
- 11d ago First seen · 31 lines · 36 tokens per session scan A 19679fd9e14e
superpowers-tdd is a skill published in the GitHub repository anthonylee991/gemini-superpowers-antigravity (827 stars, last pushed 7mo ago), licensed MIT. It adds 36 tokens to every session and 239 once invoked, about $0.0002 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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