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 WellApp-ai/Well --skill test-hardeninggit clone --depth 1 https://github.com/WellApp-ai/WellWrote 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/wellapp-ai/well/test-hardening)<a href="https://agentmods.dev/skills/wellapp-ai/well/test-hardening"><img src="https://agentmods.dev/badge/skills/wellapp-ai/well/test-hardening/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/wellapp-ai/well/test-hardening"><img src="https://agentmods.dev/badge/skills/wellapp-ai/well/test-hardening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 174 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 189 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00012 | $0.01444 |
| Opus 5 | $0.00006 | $0.00722 |
| Sonnet 5 | $0.00002 | $0.00289 |
| Haiku 4.5 | $0.00001 | $0.00144 |
Grade A, and why
test-hardening 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 9d 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 — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Test Hardening Skill
Convert verified QA Contract criteria (G#N, AC#N) into permanent automated tests. Ensures passing scenarios become regression tests.
When to Use
- After qa-commit returns GREEN for a commit
- After debug skill fixes an issue (Phase 7: Harden)
- Before pushing PR (ensure all criteria have tests)
- Manually with "use test-hardening skill"
Input: Verification Report
From qa-commit's Verification Report:
- List of passed G#N (Gherkin scenarios)
- List of passed AC#N (acceptance criteria)
Phase 1: Analyze Criteria
1.1 Categorize by Test Type
| Criteria Type | Test Framework | Location |
|---|---|---|
| G#N (Backend) | Jest | apps/api/**/*.test.ts |
| AC#N (UI State) | Storybook | **/*.stories.tsx |
| AC#N (Interaction) | Playwright | tests/e2e/**/*.spec.ts |
1.2 Check Existing Tests
Grep: "G#[N]" or "[scenario name]" in test files
Skip if test already exists.
Phase 2: Generate Backend Tests (G#N)
For each passed G#N without existing test:
2.1 Template
// apps/api/src/[feature]/__tests__/[feature].test.ts
describe('[Feature Name]', () => {
// G#1: [Scenario name]
it('should [expected behavior]', async () => {
// Arrange
const input = { /* test data */ };
// Act
const response = await request(app)
.[method]('[endpoint]')
.send(input);
// Assert
expect(response.status).toBe([status]);
expect(response.body).toMatchObject({ /* expected */ });
});
// G#2: [Scenario name]
it('should return [error] when [condition]', async () => {
// Test implementation
});
});
2.2 Generate Test
- Extract endpoint, method, expected response from G#N
- Create test file if not exists
- Add test case with G#N reference in comment
- Run test to verify it passes
npm run test -- --grep "[scenario name]"
Phase 3: Generate Storybook Stories (AC#N - States)
For state-based AC#N:
3.1 Template
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.
- 9d ago First seen · 244 lines · 12 tokens per session scan A 820fab6a4220
test-hardening is a skill published in the GitHub repository WellApp-ai/Well (340 stars, last pushed 1mo ago), licensed MIT. It adds 12 tokens to every session and 1,444 once invoked, about $0.0001 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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