Borrowing it
Nothing to install: this file belongs to gpt-cmdr/ras-commander. 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/gpt-cmdr/ras-commander/main/.claude/commands/dual-qaqc.mdgit clone --depth 1 https://github.com/gpt-cmdr/ras-commanderWrote 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/commands/gpt-cmdr/ras-commander/dual-qaqc)<a href="https://agentmods.dev/commands/gpt-cmdr/ras-commander/dual-qaqc"><img src="https://agentmods.dev/badge/commands/gpt-cmdr/ras-commander/dual-qaqc/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/commands/gpt-cmdr/ras-commander/dual-qaqc"><img src="https://agentmods.dev/badge/commands/gpt-cmdr/ras-commander/dual-qaqc.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00000 | $0.00858 |
| Opus 5 | $0.00000 | $0.00429 |
| Sonnet 5 | $0.00000 | $0.00172 |
| Haiku 4.5 | $0.00000 | $0.00086 |
Grade A, and why
dual-qaqc 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 10d 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/dual-qaqc — Dual-Oracle Cross-Validation
Trigger: /dual-qaqc [topic or target]
Run the same analysis through two independent AI oracles (Codex CLI at xhigh thinking + Claude Opus) and reconcile findings. Items where both agree are high-confidence. Divergences require human review.
Use for: API consistency audits, algorithmic correctness checks, security reviews, QAQC of complex outputs, design decisions with non-obvious tradeoffs.
Workflow
Step 1: Frame the Question
Formulate a precise, answerable question. Vague questions produce useless divergence.
Good: "Does HdfResultsPlan.get_compute_messages() handle the case where the HDF
exists but the compute messages group is missing? Check lines 720-830."
Bad: "Is this code good?"
Step 2: Write Context to a File
Save the code/question to a temp file so both oracles get identical input:
cat > /tmp/dual-qaqc-context.md << 'EOF'
# Dual-QAQC Context — [topic]
## Question
[Precise question]
## Code Under Review
[Paste relevant code or file path]
## What to Check
- [Specific concern 1]
- [Specific concern 2]
EOF
Step 3: Invoke Codex Oracle
Dispatch to code-oracle-codex agent (see .claude/agents/code-oracle-codex.md):
@code-oracle-codex: Review /tmp/dual-qaqc-context.md
- Answer the question in the context file
- Flag any issues you find that weren't asked about
- Assign confidence: High / Medium / Low to each finding
- Write findings to: .claude/outputs/dual-qaqc/{date}-codex.md
Step 4: Invoke Opus Oracle
Run the same context through Claude Opus (max thinking if available):
@opus: Review /tmp/dual-qaqc-context.md
- Same instructions as Codex oracle above
- Write findings to: .claude/outputs/dual-qaqc/{date}-opus.md
Step 5: Reconcile
Compare the two outputs:
Agreement → High confidence finding → act on it
Disagreement → Flag for human review → do NOT resolve automatically
One found, one missed → Medium confidence → investigate further
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.
- 10d ago First seen · 124 lines · 0 tokens per session scan A b6911d09a5b2
dual-qaqc is a command published in the GitHub repository gpt-cmdr/ras-commander (79 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 858 tokens. 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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