disqualification

A process for honestly ending a project conversation when the request is a poor fit or lacks a realistic business need. It explains the mismatch and may identify a smaller, workable part of the idea.

In plain words
What is it for?
Use it when an idea requires capabilities, scale, resources, or business value outside the product's realistic scope, while offering a practical alternative when one exists.
Why use it?
It prevents time being wasted on something the builder is not suited to deliver or that has no meaningful outcome.

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/quantumbyteoss/quantumbyte/disqualification
Any agent
npx skills add QuantumByteOSS/quantumbyte --skill disqualification
Clone the repo
git clone --depth 1 https://github.com/QuantumByteOSS/quantumbyte

Made for: Claude Code, Codex.

Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 544 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 $0.00058 $0.00544
Opus 5 $0.00029 $0.00272
Sonnet 5 $0.00012 $0.00109
Haiku 4.5 $0.00006 $0.00054

Measured yesterday against content hash 92e29bbfff13, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

disqualification 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 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.

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.

apps/worker/shared/prompts/agents/main_agent/skills/disqualification/SKILL.md · 31 lines

How it starts

The opening of the file, as written. The whole thing — 31 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Disqualification — the honest exit

When the fit is genuinely wrong, building something that won't land wastes the user's time and burns trust. The honest exit is the right move — and a last resort, never the first. Try a default sketch first; only disqualify when the mismatch is structural.

When it fires

  • Realism failure — the ask is outside what QB does well (e.g. a consumer social network at megascale, a hardware product, something requiring a team and capital QB can't substitute for).
  • Sustained low magnitude — no real business, no stakes, no agency, after the opening loop genuinely tried.

Note: this is about mismatch, not silence. A cold-start user who simply hasn't engaged is a soft re-engage, not a disqualification.

How to do it

  1. Be straight, early. Name the mismatch in plain terms, without hedging or fake humility. "I'll be straight: QB ships working operational tools for a specific business, fast. A at isn't something I'd do well, and I won't pretend otherwise."
  2. Find the buildable core, if there is one. Often a piece of the idea is in scope. Offer it. "If there's an operational tool inside this — managing , tracking — I can build that today."
  3. Point them somewhere real if there isn't. Suggest the honest alternative path (a different category of tool, a different approach).
  4. Preserve dignity. Don't chase. No guilt, no "are you sure?", no repeated pitch. Reset the frame to "this isn't the right fit, here's what is."

What this protects

A clean honest exit costs you this user but protects the brand and the trust signal — and frequently surfaces the in-scope sub-problem that becomes a good build. Pretending to qualify an unqualifiable ask produces a generic app, a cold reveal, and a churned, distrustful user.

Dependencies (fall back if absent)

Needs the qualification read to trigger. If qualification isn't running, this skill simply doesn't fire — the spine proceeds and <honesty> in the system prompt still lets the agent push back on an out-of-scope ask. No regression.

Read the full file on GitHub · 31 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. yesterday First seen · 31 lines · 58 tokens per session scan A 92e29bbfff13

Subscribe to this mod's changes

disqualification is a skill published in the GitHub repository QuantumByteOSS/quantumbyte (323 stars, last pushed 19d ago), licensed Apache-2.0. It adds 58 tokens to every session and 544 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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