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.
git clone --depth 1 https://github.com/vlad-ryzhkov/ai-context-engineering-for-qaWrote 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/rules/vlad-ryzhkov/ai-context-engineering-for-qa/10-skill-init-project)<a href="https://agentmods.dev/rules/vlad-ryzhkov/ai-context-engineering-for-qa/10-skill-init-project"><img src="https://agentmods.dev/badge/rules/vlad-ryzhkov/ai-context-engineering-for-qa/10-skill-init-project.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00141 | $0.00141 |
| Opus 5 | $0.00071 | $0.00071 |
| Sonnet 5 | $0.00028 | $0.00028 |
| Haiku 4.5 | $0.00014 | $0.00014 |
Grade A, and why
10-skill-init-project 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 8d 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
SKILL: INIT PROJECT
TRIGGER
User explicitly types /init-project or asks to set up AI-assisted workflow for a new QA project.
EXECUTION INSTRUCTIONS
DO NOT guess the procedure and DO NOT output anything yet. To perform this skill, you MUST dynamically read the instructions using your file-reading capabilities.
- Read the specific skill protocol:
.claude/skills/init-project/SKILL.md - Execute based STRICTLY on the logic and output format defined in that file.
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.
- 8d ago First seen · 17 lines · 141 tokens per session scan A 2e2412cccb73
10-skill-init-project is a cursor rule published in the GitHub repository vlad-ryzhkov/ai-context-engineering-for-qa (6 stars, last pushed 1mo ago), licensed Unlicense. It adds 141 tokens to every session, about $0.0007 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 cursor rules, from other repositories
00-project-context
Cursor rule "00-project-context" from vlad-ryzhkov/AI-QA-workshop-feb19, covering project context bridge, core instruction and critical behavior.
01-qa-agent
QA AGENT PERSONA: Principles, Anti-patterns, workflows.
02-skill-spec-audit
SKILL: Requirement Analysis & QA Audit (use for /spec-audit).
04-skill-api-tests
SKILL: Generate Ktor/JUnit API Tests (use for /api-tests).
05-skill-screenshot-analyze
SKILL: Analyze UI Screenshots for defects & L10N (use for /screenshot-analyze).
09-skill-init-agent
SKILL: Generate QA Agent Persona qaagent.md (use for /init-agent).