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 yogsoth-ai/stress-test --skill contradiction-derivationgit clone --depth 1 https://github.com/yogsoth-ai/stress-testWrote 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/yogsoth-ai/stress-test/contradiction-derivation)<a href="https://agentmods.dev/skills/yogsoth-ai/stress-test/contradiction-derivation"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/contradiction-derivation/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/yogsoth-ai/stress-test/contradiction-derivation"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/contradiction-derivation.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 | $0.00029 | $0.00386 |
| Opus 5 | $0.00015 | $0.00193 |
| Sonnet 5 | $0.00006 | $0.00077 |
| Haiku 4.5 | $0.00003 | $0.00039 |
Grade A, and why
contradiction-derivation 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.
What it actually says
Contradiction Derivation
Orchestration Steps
- Receive claim P from strategy
- Dispatch
claim-negationto produce ~P - Dispatch
deductive-chainwith ~P as premise, derive consequences - At each derivation step, dispatch
contradiction-detectionto check for:- Formal contradiction (Q and ~Q)
- Absurd consequence (violates known facts)
- Infinite regress or vacuous truth
- If contradiction found: report with derivation trace
- If chain exhausts without contradiction: report claim as contingent
Subagents
- claim-negation
- deductive-chain
- contradiction-detection
Termination Conditions
- Genuine contradiction detected (success)
- Maximum derivation depth reached (inconclusive)
- Circular reasoning detected (abort with warning)
- Budget exhausted (report partial results)
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| claim-negation | Formally negate the core claim, producing the logical complement for reductio testing. |
| contradiction-detection | Evaluate whether a derivation chain has reached a genuine contradiction, absurdity, or inconclusive state. |
| deductive-chain | Derive logical consequences step by step from a given premise, building a traceable derivation chain. |
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 · 56 lines · 29 tokens per session scan A ac181a806e54
contradiction-derivation is a skill published in the GitHub repository yogsoth-ai/stress-test (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 29 tokens to every session and 386 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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