omp-flow-qbd

omp-flow-qbd is a skill for Claude Code, Codex from Andyduck-ops/omp-flow. It costs 26 tokens per session (1,262 once invoked), scanned A, original, MIT.

An independent Quality-by-Design audit, meaning a review that challenges whether both the chosen solution and the work plan are properly justified. It examines linked task records and records the required human calibration.

In plain words
What is it for?
Use it to challenge the reasoning behind a design and its execution plan, check whether the planned work can deliver the approved result, and document evidence, objections, and human decisions.
Why use it?
It helps expose weak problem definitions, requirements, designs, sources, work plans, or verification steps before they guide implementation.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/andyduck-ops/omp-flow/omp-flow-qbd
Any agent
npx skills add Andyduck-ops/omp-flow --skill omp-flow-qbd
Clone the repo
git clone --depth 1 https://github.com/Andyduck-ops/omp-flow

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for omp-flow-qbd

README.md
[![agentmods](https://agentmods.dev/badge/skills/andyduck-ops/omp-flow/omp-flow-qbd.svg)](https://agentmods.dev/skills/andyduck-ops/omp-flow/omp-flow-qbd)
Your own site
<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="Measured on agentmods" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,262 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00026 $0.01262
Opus 5 $0.00013 $0.00631
Sonnet 5 $0.00005 $0.00252
Haiku 4.5 $0.00003 $0.00126

Measured 4d ago against content hash 5c16c787b422, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 4d 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.

.agents/skills/omp-flow-qbd/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 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 search for possible refinement. Practice evidence(实践检验)outranks process completeness; anti-formalism(反形式主义)does not weaken mechanical authorization, data, false-authority, or irreversible-effect boundaries.

Procedure

Before native dispatch, only Main/coordinator may dispatch, correlate operations/receipts, obtain or record human calibration, and choose a workflow transition. Those coordinator actions are inapplicable to an already-dispatched Auditor: it must not dispatch or self-redispatch, govern, calibrate, transition, or selectively reinterpret coordinator clauses. The Auditor still owns the complete bounded independent audit and assigned audit Concept: reconstruct the concrete problem without solution jargon, challenge whether the selected problem and current principal contradiction still hold before judging architecture completeness, preserve the mechanical safety analysis, and report the required verdict, findings, evidence, and contradictions through that output boundary.

  1. 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.
  2. In Main/coordinator context only, start one independent QbD operation with Bundle root, role, bounded objective, entry, output, actor ID, and optional predecessor receipt.
  3. 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. Keep its strict v1 ompFlowDispatch descriptor as the first non-blank line, set native item id = actor_id = actorId, and use the matching descriptor role. Do not render the Bundle, reconstruct the descriptor, or prepend audit prose.
  4. Require an explicit verdict with these semantics:
    • FAIL requires evidence of a critical falsehood, authorization or data violation, irreversible harm, or an unrealizable/unverifiable core path for which safe degradation is insufficient.
    • NEEDS_EVIDENCE applies only when missing evidence prevents judging whether such a material consequence exists. Unknowns alone are not blocking.
    • PASS means no unresolved blocking finding in the current scope; it may carry advisory observations, residual risk, later verification, and deferred recommendations.
  5. Require each blocking finding to link evidence through cause -> concrete consequence -> affected decision, give the smallest remedy, and explain why hiding, unavailable, disabling, narrowing, refusal to write, or another safe degradation is insufficient. Findings without that chain are advisory.
  6. 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.
  7. 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.
  8. 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.

Read the full file on GitHub · 93 lines

Changes

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.

  1. 4d ago First seen · 93 lines · 26 tokens per session scan A 5c16c787b422

Subscribe to this mod's changes

omp-flow-qbd is a skill published in the GitHub repository Andyduck-ops/omp-flow (6 stars, last pushed 8d ago), licensed MIT. It adds 26 tokens to every session and 1,262 once invoked, about $0.0001 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.

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