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 spencerpauly/awesome-cursor-skills --skill parallel-test-fixinggit clone --depth 1 https://github.com/spencerpauly/awesome-cursor-skillsWrote 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/spencerpauly/awesome-cursor-skills/parallel-test-fixing)<a href="https://agentmods.dev/skills/spencerpauly/awesome-cursor-skills/parallel-test-fixing"><img src="https://agentmods.dev/badge/skills/spencerpauly/awesome-cursor-skills/parallel-test-fixing/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/spencerpauly/awesome-cursor-skills/parallel-test-fixing"><img src="https://agentmods.dev/badge/skills/spencerpauly/awesome-cursor-skills/parallel-test-fixing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00027 | $0.00499 |
| Opus 5 | $0.00014 | $0.00249 |
| Sonnet 5 | $0.00005 | $0.00100 |
| Haiku 4.5 | $0.00003 | $0.00050 |
Grade A, and why
parallel-test-fixing 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 10d 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
Parallel Test Fixing
Speed up fixing a broken test suite by distributing failing tests across parallel subagents.
Workflow
1. Run the Full Test Suite
npm test -- --no-coverage 2>&1 || true
Capture the output and extract all failing test files.
2. Group Failures
Parse the test output for failing files:
- Jest:
FAIL src/components/Button.test.tsx - Vitest:
FAIL src/utils/format.test.ts - Pytest:
FAILED tests/test_api.py::test_create_user
Group by file — each file becomes one task.
3. Launch Parallel Subagents
For each failing test file, launch a generalPurpose subagent:
Task: Fix the failing tests in <file>
The test file is: <path>
The test command is: <command to run just this file>
The error output was:
<paste the relevant failure output>
Steps:
1. Read the test file and the source file it tests
2. Understand why each test is failing
3. Fix the source code (preferred) or update the test if the test is wrong
4. Run the single test file to confirm it passes
5. Report what you changed and why
Launch all subagents simultaneously — they work in parallel since each touches different files.
4. Collect Results
As each subagent completes, collect:
- Which tests were fixed
- What files were changed
- Whether the fix might conflict with another subagent's changes
5. Verify
Run the full test suite one more time to confirm everything passes:
npm test
If there are new failures (from conflicting fixes), resolve them sequentially.
Tips
- If two failing tests share the same source file, assign them to the same subagent to avoid edit conflicts
- Set a timeout — if a subagent is stuck for 5+ minutes, check its progress
- For large test suites (50+ failures), batch into groups of 5-10 per subagent rather than one-per-file
- Use
best-of-n-runnersubagents if you want isolated worktrees for each fix attempt
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.
- 10d ago First seen · 75 lines · 27 tokens per session scan A e116b2b27977
parallel-test-fixing is a skill published in the GitHub repository spencerpauly/awesome-cursor-skills (768 stars, last pushed 1mo ago), licensed CC0-1.0. It adds 27 tokens to every session and 499 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.
Other skills, from other repositories
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experimental-code-coverage-local-debugger
Runs code coverage locally via Universal Test Runner (UTR) or helper scripts, mimicking LUCI trybots. Activate when CQ tryjobs fail or underreport coverage, to test local GN/recipe repairs before uploading, or to debug hermetic crashes.
adversarial-reviewer
Adversarial code review that assumes bugs exist and hunts for them. Use when asked to review code, find bugs, audit for correctness, stress-test a PR, or when someone says "tear this apart" or "what's wrong with this". Give no benefit of the doubt — every line is guilty until proven innocent.
cli-e2e
Write, modify, or debug Docker-based Composio CLI end-to-end tests under ts/e2e-tests/cli, including binary invocation, fixture isolation, output assertions, and package manifests. Use for CLI E2E test suites only; use cli-command for CLI source implementation.
work
Deliver one maintainer-approved EmDash issue, choosing the bug-fix path for a defect and the direct implementation path for an enhancement or task.