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 cdeust/zetetic-team-subagents --skill decision-bias-checkgit clone --depth 1 https://github.com/cdeust/zetetic-team-subagentsWrote 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/cdeust/zetetic-team-subagents/decision-bias-check)<a href="https://agentmods.dev/skills/cdeust/zetetic-team-subagents/decision-bias-check"><img src="https://agentmods.dev/badge/skills/cdeust/zetetic-team-subagents/decision-bias-check/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/cdeust/zetetic-team-subagents/decision-bias-check"><img src="https://agentmods.dev/badge/skills/cdeust/zetetic-team-subagents/decision-bias-check.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 | $0.00067 | $0.00706 |
| Opus 5 | $0.00034 | $0.00353 |
| Sonnet 5 | $0.00013 | $0.00141 |
| Haiku 4.5 | $0.00007 | $0.00071 |
Grade A, and why
decision-bias-check 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 11d 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 — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Decision Bias Check
Problem shape: a decision, plan, or evaluation is about to be committed and nobody has run the adversarial pass: which bias produced it, what would refute it, how it behaves in the tails, and whether the metric still measures what it was meant to.
Relevant geniuses
| Agent | Use when |
|---|---|
| kahneman | fast intuition on a high-stakes call; no pre-mortem; estimate needs a reference class; an easier question was answered instead of the hard one |
| taleb | exposure to volatility unclassified (fragile/robust/antifragile); improvement always by addition; decision-makers carry no downside |
| popper | claim has no observation that could refute it; only easy confirmations offered as evidence; plan too big to test piecemeal |
| simon | optimizing where satisficing is rational; the search space needs decomposing before choosing |
| boyd | adversarial setting — the other side adapts; tempo and orientation matter more than the single best move |
| zhuangzi | the metric has become the target (Goodhart); the evaluation framework itself needs auditing |
| ibnalhaytham | an authority's claim taken on trust — systematic doubt with controlled isolation of variables |
| rogerfisher | multi-stakeholder deadlock — separate interests from positions, find the BATNA and the zone of agreement |
Invocation
- Pick the best-fit agent above. If two or more fit, run
tools/genius-invoker.sh route "<problem>"and take the top ranked match. - Load it:
tools/genius-invoker.sh invoke <agent> "<problem>", then readagents/genius/<agent>.mdin full. - Apply the agent's
<workflow>step by step and answer in its<output-format>. The output names the specific bias/failure with its evidence — not a generic "consider other perspectives". - Typical chain: kahneman audits the intuition → popper designs the severe
test → taleb classifies the tail exposure. Run via
tools/genius-invoker.sh compose kahneman popper -- "<problem>". - If no shape above matches, use a standard team agent instead.
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.
- 11d ago First seen · 50 lines · 67 tokens per session scan A 9fa8cd9270cf
decision-bias-check is a skill published in the GitHub repository cdeust/zetetic-team-subagents (7 stars, last pushed yesterday), licensed MIT. It adds 67 tokens to every session and 706 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 2026-08-31.
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