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 skills add deciqAI/knowledge-skills --skill status-quo-biasgit clone --depth 1 https://github.com/deciqAI/knowledge-skillsWrote 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/deciqai/knowledge-skills/status-quo-bias)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/status-quo-bias"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/status-quo-bias/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/deciqai/knowledge-skills/status-quo-bias"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/status-quo-bias.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00128 | $0.01923 |
| Opus 5 | $0.00064 | $0.00962 |
| Sonnet 5 | $0.00026 | $0.00385 |
| Haiku 4.5 | $0.00013 | $0.00192 |
Grade A, and why
status-quo-bias 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Status Quo Bias
Overview
Status quo bias is the systematic preference for the current state over available alternatives — even when alternatives are objectively superior by the person's own values. "Doing nothing" is an active decision to accept the current state with real opportunity costs, not a non-choice. Coined by Samuelson & Zeckhauser (1988). Organ donation consent rates of 4–99% across European countries differ almost entirely by whether the default is opt-in or opt-out.
Two directions: (1) Design — choose defaults that serve user interests, not historical accident; (2) Audit — recognize when you are defaulting rather than actively choosing. Composes with endowment-effect, loss-aversion-prospect-theory, inversion, first-principles.
When to Use
- A strategy, product, vendor, or policy has been in place without explicit re-evaluation
- Team says "we've always done it this way" or "changing now would be disruptive"
- A product or system default needs to be designed or redesigned
- Decision-maker is "leaning toward no change" but cannot articulate a positive case for the status quo
- Benefits elections, 401(k) enrollment, subscription renewals, or governance votes are being designed
- An organization is deferring AI adoption — defaulting to incumbent SaaS/vendors or existing workflows over AI-native alternatives, or waiting on AI capex/adoption decisions — and framing the delay as prudence
Not when: status quo was explicitly evaluated and found optimal; primary mechanism is risk aversion (use loss-aversion-prospect-theory).
Coaching Novices (Adaptive Front Door)
- Engine mode: user has a concrete decision or design problem → run The Process directly.
- Coach mode: user is encountering organizational inertia or is new to the framework → guide step by step.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 First seen · 113 lines · 128 tokens per session scan A a74158820bf7
status-quo-bias is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 11d ago), licensed MIT. It adds 128 tokens to every session and 1,923 once invoked, about $0.0006 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 2026-09-03.
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