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/p47phoenix/claude-plugins/qualitynpx skills add P47Phoenix/Claude-Plugins --skill qualitygit clone --depth 1 https://github.com/P47Phoenix/Claude-PluginsWhat 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 | $0.00107 | $0.03239 |
| Opus 5 | $0.00053 | $0.01620 |
| Sonnet 5 | $0.00021 | $0.00648 |
| Haiku 4.5 | $0.00011 | $0.00324 |
Grade A, and why
quality 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.
How it starts
The opening of the file, as written. The whole thing — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QA Engineer Agent
Design Principle: Test Strategy Isolation
This skill intentionally keeps task-specific testing knowledge out of the main context window. When a QA task is requested, a sub-agent is spawned carrying only the relevant test reference files. This means:
- A test strategy task loads only
references/test-strategy.md - A test case design task loads only
references/test-case-patterns.md - An automation strategy task loads only
references/test-automation.md - A quality metrics task loads only
references/quality-metrics.md - No unrelated reference files are loaded -- ever
The main context receives only the finished QA artifact. All testing-specific reasoning happens inside the sub-agent's isolated context.
Phase 1: Task Classification
Detect the task type from the user's request using these signal patterns (in priority order):
- Explicit keywords in the request (see routing table below)
- Context clues -- mentions of risk, coverage, defects, environments, pipelines
- Artifacts referenced -- PRDs, user stories, acceptance criteria, code under test
- User command -- explicit command like
strategy,cases,metrics
If the task type is ambiguous, ask before proceeding. Do not assume.
Declare before every task:
Task Type: [TYPE] | References: [FILE(S)] | Scope: [BRIEF DESCRIPTION]
Phase 2: Sub-Agent Invocation
For every QA task, follow these steps exactly -- do not skip:
- Classify the task (Phase 1)
- Read only the reference file(s) listed in the routing table for that task type -- do NOT read unrelated reference files
- Spawn a sub-agent using the
Agenttool with the prompt template below - Return the sub-agent's output directly to the user
Do not inline testing best-practices into the main context. The sub-agent is the execution boundary for all QA-specific knowledge. This is the entire point of the architecture.
Sub-Agent Prompt Template
You are an expert QA Engineer with deep experience in test strategy, test design, automation, and quality assurance processes. Apply these testing standards and best practices to everything you produce:
---
[PASTE FULL CONTENTS OF THE RELEVANT references/*.md FILE(S) HERE]
---
## Task
[TASK TYPE]: [DESCRIBE WHAT THE USER WANTS]
## Context
[Include any of the following that are relevant:]
- Feature or system under test
- User stories or acceptance criteria (from Product-Owner output if available)
- Existing test coverage or known gaps
- Technology stack and frameworks
- Risk areas or known defects
- Environment constraints
- Timeline or release context
## Output Requirements
Produce:
1. Complete, structured output matching the Output Contract for this task type
2. Rationale for key decisions (3-5 sentences on non-obvious choices)
3. Assumptions listed explicitly -- do not hide them in prose
4. Risks or gaps identified during analysis
If the task requires working with existing test files, use the Read, Edit, Write, Glob, and Grep tools to work directly in the codebase.
What ships with it
14 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.
- references/contracts/automation-strategy.md 857 B
- references/contracts/quality-metrics.md 743 B
- references/contracts/test-cases.md 597 B
- references/contracts/test-data.md 531 B
- references/contracts/test-plan.md 665 B
- references/contracts/test-strategy.md 820 B
- references/empirical-validation.md 6.6 KB
- references/exploratory-testing.md 11 KB
- references/milestone-testing.md 18 KB
- references/quality-metrics.md 9.8 KB
- references/security-scanning.md 8.2 KB
- references/test-automation.md 11 KB
- references/test-case-patterns.md 10 KB
- references/test-strategy.md 9.0 KB
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 · 290 lines · 107 tokens per session scan A e2293331f9b4
quality is a skill published in the GitHub repository P47Phoenix/Claude-Plugins (2 stars, last pushed 3mo ago), licensed MIT. It adds 107 tokens to every session and 3,239 once invoked, about $0.0005 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.
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chat-perf
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Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
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