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/proffesor-for-testing/agentic-qe/verification-qualitynpx skills add proffesor-for-testing/agentic-qe --skill verification-qualitygit 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/verification-quality)<a href="https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/verification-quality"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/verification-quality.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 | $0.00036 | $0.05073 |
| Opus 5 | $0.00018 | $0.02537 |
| Sonnet 5 | $0.00007 | $0.01015 |
| Haiku 4.5 | $0.00004 | $0.00507 |
Grade A, and why
Verification & Quality Assurance scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST https:/$pushgateway.example.com$metrics$job$claude-flow \ This is a copy
100% identical to Verification & Quality Assurance — 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 — 694 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Verification & Quality Assurance Skill
What This Skill Does
This skill provides a comprehensive verification and quality assurance system that ensures code quality and correctness through:
- Truth Scoring: Real-time reliability metrics (0.0-1.0 scale) for code, agents, and tasks
- Verification Checks: Automated code correctness, security, and best practices validation
- Automatic Rollback: Instant reversion of changes that fail verification (default threshold: 0.95)
- Quality Metrics: Statistical analysis with trends, confidence intervals, and improvement tracking
- CI/CD Integration: Export capabilities for continuous integration pipelines
- Real-time Monitoring: Live dashboards and watch modes for ongoing verification
Shipped vs. aspirational. The concrete, in-CI verification stack — the 6 regression-guard jobs + the witness manifest + the tool-discoverability audit — is real and runs on every push. The truth-scoring / auto-rollback / WebSocket-dashboard surface described later in this doc is partly shipped (
ruflo verifyruns the witness checks) and partly design — treat the "CI Guards" section below as the authoritative current state.
CI Guards — what's actually shipped (current state)
Ruflo's regression protection is three layers, all gated before publish. Authoritative reference: verification/README.md.
| Layer | What | CI job(s) in .github/workflows/v3-ci.yml |
ADR |
|---|---|---|---|
| 1 — install/behavioral smoke | Exercise user-visible failure modes against a real build | smoke-install-no-bsqlite (npm install on platforms w/o prebuilds), plugin-hooks-smoke (#1859/#1862 — hook flag parsing), mcp-protocol-smoke (#1874 — HTTP MCP wire format), memory-import-smoke (#1883/#1884 — WSL path + key sanitization), mcp-roundtrip-smoke (#1889 paired-tool round-trip + #1863 cli-no-crash + ADR-095 G2 consensus-transport) |
ADR-102 |
| 1 — discoverability gate | Every MCP tool description must answer "use this over native when?" | tool-descriptions-audit — scripts/audit-tool-descriptions.mjs, baseline at verification/mcp-tool-baseline.json (monotone-decreasing: noGuidance / tooShort / duplicates) |
ADR-112 |
| 2 — cryptographic witness | Every documented fix's load-bearing marker must still be present in dist; Ed25519-signed, per-OS bundles | witness-verify (ubuntu/macos/windows) — plugins/ruflo-core/scripts/witness/verify.mjs against verification/<os>/manifest.md.json |
ADR-103 |
| 3 — temporal history | When was a regression introduced | verification/<os>/history.jsonl + history.mjs (summary / regressions / timeline) |
ADR-103 |
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.
- yesterday First seen · 694 lines · 36 tokens per session scan A 527604b4c3c4
Verification & Quality Assurance is a skill published in the GitHub repository proffesor-for-testing/agentic-qe (473 stars, last pushed 3d ago), licensed MIT. It adds 36 tokens to every session and 5,073 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to Verification & Quality Assurance, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
Verification & Quality Assurance
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
verification-quality
Truth scoring, code-quality verification, and automatic rollback with a high accuracy threshold. Use when validating agent output before it ships, gating changes on quality, or adding a verify-and-rollback safety loop.
Verification & Quality Assurance
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
Verification & Quality Assurance
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
Verification & Quality Assurance
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
Verification & Quality Assurance
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.