Borrowing it
Nothing to install: this file belongs to proffesor-for-testing/agentic-qe. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/proffesor-for-testing/agentic-qe/main/.agents/skills/aqe-ruflo/SKILL.mdgit clone --depth 1 https://github.com/proffesor-for-testing/agentic-qeWrote 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/proffesor-for-testing/agentic-qe/aqe-ruflo)<a href="https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/aqe-ruflo"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/aqe-ruflo.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 23 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 24 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00064 | $0.00266 |
| Opus 5 | $0.00032 | $0.00133 |
| Sonnet 5 | $0.00013 | $0.00053 |
| Haiku 4.5 | $0.00006 | $0.00027 |
Grade A, and why
aqe-ruflo 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
Orchestrate AQE with Ruflo
Keep the ownership boundary explicit:
- AQE owns quality specialization, test evidence, gates, and verdicts.
- Ruflo owns development-time task coordination, handoffs, hooks, routing, and cross-session orchestration memory.
- Never import Ruflo from product code or add
ruflo,claude-flow, or@claude-flow/clias an AQE runtime dependency.
Before using Ruflo, confirm that multi-agent coordination is worth its overhead. Prefer a small, risk-selected QE fleet over activating every agent.
For projects that explicitly want Ruflo, initialize or inspect it through its external CLI:
npx ruflo doctor
npx ruflo discover-plugins
Use the installed Ruflo MCP tools when available. Treat their absence as graceful degradation: AQE quality workflows must continue to work without Ruflo installed.
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 · 30 lines · 64 tokens per session scan A 24969e0265d4
aqe-ruflo is a skill published in the GitHub repository proffesor-for-testing/agentic-qe (475 stars, last pushed today), licensed MIT. It adds 64 tokens to every session and 266 once invoked, about $0.0003 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.
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