Borrowing it
Nothing to install: this file belongs to Andyduck-ops/omp-flow. 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/Andyduck-ops/omp-flow/main/.agents/skills/omp-flow-qbd/SKILL.mdgit clone --depth 1 https://github.com/Andyduck-ops/omp-flowWrote 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/andyduck-ops/omp-flow/omp-flow-qbd)<a href="https://agentmods.dev/skills/andyduck-ops/omp-flow/omp-flow-qbd"><img src="https://agentmods.dev/badge/skills/andyduck-ops/omp-flow/omp-flow-qbd/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/skills/andyduck-ops/omp-flow/omp-flow-qbd"><img src="https://agentmods.dev/badge/skills/andyduck-ops/omp-flow/omp-flow-qbd.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 | $0.00030 | $0.01284 |
| Opus 5.5 | $0.00012 | $0.00514 |
| Sonnet 5.5 | $0.00006 | $0.00257 |
| Haiku 4.5 | $0.00003 | $0.00128 |
Grade A, and why
omp-flow-qbd 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 9d 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OMP-Flow QbD
Gate Meaning
- QbD 1 challenges whether the selected problem, requirements, design, sources, and contracts are justified.
- QbD 2 challenges whether the authored work map, work Concepts, scope, ordering, and verification can realize the approved design.
- The independent auditor applies adversarial judgment. The human calibrates the result. Neither replaces the other.
- QbD is a material decision challenge, not an exhaustive refinement search. Practice evidence (实践检验)outranks process completeness; anti-formalism(反形式主义)never weakens mechanical authorization, data, false-authority, or irreversible-effect boundaries.
Procedure
Main/coordinator alone dispatches, correlates receipts, records human calibration, and chooses transitions. A dispatched Auditor performs only the bounded independent audit and assigned audit Concept; it does not dispatch, govern, calibrate, transition, or reinterpret coordinator clauses. It reconstructs the concrete problem without solution jargon, challenges whether the selected problem and current principal contradiction still hold before judging architecture completeness, preserves the mechanical safety analysis, and reports the required verdict, findings, evidence, and contradictions through that output boundary.
- Identify the design or work-map entry Concept and an explicit audit output Concept. Through its useful links, bind the audit to the current decision, unacceptable consequences, current scope/change, and relevant closed findings, residual risks, and human decisions. Do not require a fixed audit-brief file or field shape; no prior findings is normal for a first audit.
- In Main/coordinator context only, start one independent QbD operation with Bundle root, role, bounded objective, entry, output, actor ID, and optional predecessor receipt.
- In Main/coordinator context only, dispatch one independent native
qbd-auditor. Pass the paths and opaque receipt returned by the runtime by forwarding the complete returned assignment unchanged to the nativeqbd-auditor/omp-flow-qbdagent. Keep its strict v1ompFlowDispatchdescriptor as the first non-blank line. Do not render the Bundle, reconstruct the descriptor, or prepend audit prose. - Require an explicit verdict with these semantics:
FAILrequires evidence of a critical falsehood, authorization or data violation, irreversible harm, or an unrealizable/unverifiable core path for which safe degradation is insufficient.NEEDS_EVIDENCEapplies only when missing evidence prevents judging whether such a material consequence exists. Unknowns alone are not blocking.PASSmeans no unresolved blocking finding in the current scope; it may carry advisory observations, residual risk, later verification, and deferred recommendations.
- Require each blocking finding to link evidence through cause -> concrete consequence -> affected
decision, state the violated required property separately from any non-binding example repair
hint (never prescribing a repair that contradicts a locked human decision), and explain why
hiding,
unavailable, disabling, narrowing, refusal to write, or another safe degradation is insufficient. Findings without that chain are advisory. - In Main/coordinator context only, confirm the promised audit Concept exists, links to what it evaluated, and records material findings, then finish the runtime operation with the same actor ID. The already-dispatched Auditor returns that assigned audit output; it does not finish or correlate the coordinator's operation.
- In Main/coordinator context only, present material findings and applicable governance options to the user. Only the user decides calibration; the verdict itself authorizes no repair, re-audit, or forward transition.
- In Main/coordinator context only, record the human decision in a linked decision Concept. Do not encode approval, materiality, or risk as runtime phase or parsed state.
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.
- 9d ago Changed · +3 lines · +4 tokens per session 1cd705811f7f
- 2mo ago Changed · -1 lines 86dc9ad8ecdd
- 2mo ago First seen · 93 lines · 26 tokens per session scan A 5c16c787b422
omp-flow-qbd is a skill published in the GitHub repository Andyduck-ops/omp-flow (6 stars, last pushed 9d ago), licensed MIT. It adds 30 tokens to every session and 1,284 once invoked, about $0.0001 per session on Opus 5.5. 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.
omp-flow-qbd compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| omp-flow-qbdAndyduck-ops/omp-flow | Skill | 6 | 9d ago | MIT | A | 30 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |