Softaworks Agent Toolkit is a collection of packaged instructions, scripts, agents, and commands that give AI coding assistants reusable procedures for development, documentation, planning, and professional work. Developers install its components individually in compatible coding-agent environments; catalogue entries represent parts of this toolkit.
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 softaworks/agent-toolkit --skill qa-test-plannergit clone --depth 1 https://github.com/softaworks/agent-toolkitWrote 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/softaworks/agent-toolkit/qa-test-planner)<a href="https://agentmods.dev/skills/softaworks/agent-toolkit/qa-test-planner"><img src="https://agentmods.dev/badge/skills/softaworks/agent-toolkit/qa-test-planner/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/softaworks/agent-toolkit/qa-test-planner"><img src="https://agentmods.dev/badge/skills/softaworks/agent-toolkit/qa-test-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk 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 | $0.00034 | $0.04493 |
| Opus 5.5 | $0.00014 | $0.01797 |
| Sonnet 5.5 | $0.00007 | $0.00899 |
| Haiku 4.5 | $0.00003 | $0.00449 |
Grade A, and why
qa-test-planner 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.
This is a copy
100% identical to qa-test-planner — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 758 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QA Test Planner
A comprehensive skill for QA engineers to create test plans, generate manual test cases, build regression test suites, validate designs against Figma, and document bugs effectively.
Activation: This skill is triggered only when explicitly called by name (e.g.,
/qa-test-planner,qa-test-planner, oruse the skill qa-test-planner).
Quick Start
Create a test plan:
"Create a test plan for the user authentication feature"
Generate test cases:
"Generate manual test cases for the checkout flow"
Build regression suite:
"Build a regression test suite for the payment module"
Validate against Figma:
"Compare the login page against the Figma design at [URL]"
Create bug report:
"Create a bug report for the form validation issue"
Quick Reference
| Task | What You Get | Time |
|---|---|---|
| Test Plan | Strategy, scope, schedule, risks | 10-15 min |
| Test Cases | Step-by-step instructions, expected results | 5-10 min each |
| Regression Suite | Smoke tests, critical paths, execution order | 15-20 min |
| Figma Validation | Design-implementation comparison, discrepancy list | 10-15 min |
| Bug Report | Reproducible steps, environment, evidence | 5 min |
How It Works
Your Request
│
▼
┌─────────────────────────────────────────────────────┐
│ 1. ANALYZE │
│ • Parse feature/requirement │
│ • Identify test types needed │
│ • Determine scope and priorities │
├─────────────────────────────────────────────────────┤
│ 2. GENERATE │
│ • Create structured deliverables │
│ • Apply templates and best practices │
│ • Include edge cases and variations │
├─────────────────────────────────────────────────────┤
│ 3. VALIDATE │
│ • Check completeness │
│ • Verify traceability │
│ • Ensure actionable steps │
└─────────────────────────────────────────────────────┘
│
▼
QA Deliverable Ready
What ships with it
7 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 · 758 lines · 34 tokens per session scan A 64adcbcf1487
qa-test-planner is a skill published in the GitHub repository softaworks/agent-toolkit (2,569 stars, last pushed 7mo ago), licensed MIT. It adds 34 tokens to every session and 4,493 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to qa-test-planner, differing in 0 lines, and is treated as a copy.
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