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 skills/supersynergy/awesome-agentic-coding/testnpx skills add Supersynergy/awesome-agentic-coding --skill testgit clone --depth 1 https://github.com/Supersynergy/awesome-agentic-codingWhat 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 | $0.00019 | $0.00329 |
| Opus 5 | $0.00010 | $0.00164 |
| Sonnet 5 | $0.00004 | $0.00066 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
test 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.
What it actually says
Test Writing Protocol
Target: $ARGUMENTS
Step 1: Detect Test Framework
- Check
package.jsonfor vitest, jest, mocha, playwright - Check
pyproject.toml/pytest.inifor pytest - Check
Cargo.tomlfor Rust test config - Check existing test files for patterns
Step 2: Read the Code Under Test
- Read the target file completely
- Identify: public API, edge cases, error paths, dependencies
- Check for existing tests (don't duplicate)
Step 3: Write Tests (TDD-Style)
Follow this priority:
- Happy path — Does the basic case work?
- Edge cases — Empty input, null, boundary values
- Error paths — Invalid input, network failures, auth failures
- Integration — Does it work with real dependencies?
Rules
- Test BEHAVIOR, not implementation details
- No mocks unless absolutely necessary (prefer real dependencies)
- Each test should be independent — no shared mutable state
- Descriptive test names:
should return 404 when user not found - Run tests after writing: confirm they pass (or fail for TDD red phase)
- Keep tests close to source:
foo.test.tsnext tofoo.ts
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 · 37 lines · 19 tokens per session scan A 481af389a136
test is a skill published in the GitHub repository Supersynergy/awesome-agentic-coding (1 stars, last pushed 1mo ago), licensed MIT. It adds 19 tokens to every session and 329 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 2026-08-31.
Other skills, from other repositories
tdd-rust
TDD workflow for RTK filter development. Red-Green-Refactor with Rust idioms. Real fixtures, token savings assertions, snapshot tests with insta. Auto-triggers on new filter implementation.
rtk-tdd
Enforces TDD (Red-Green-Refactor) for Rust development. Auto-triggers on implementation, testing, refactoring, and bug fixing tasks. Provides Rust-idiomatic testing patterns with anyhow/thiserror, cfg(test), and Arrange-Act-Assert workflow.
linked-intent-dev
Guide for linked-intent development (LID). Consult for ALL code changes. Walks changes through a mode-aware six-phase workflow (HLD → LLD → EARS → intent-narrowing edge audit → tests-first → code) with mandatory stops between each phase. Bugs walk the arrow like any other change — no short-circuit. Enforces cascade…
tdd-test-engineer
Use for test-first development, regression tests, flaky test debugging, coverage gaps, test strategy, CI failures, or converting bugs into minimal reproducible tests.
test-validator
Validates test coverage, quality, and TDD compliance. Detects weakened assertions, deleted tests, and tautological patterns. Auto-invoke when user has written code and needs test validation.
fix-issue
Fix a GitHub issue following project coding standards. Creates branch, implements fix with TDD, and prepares PR.