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Adversarial Stress Testing · yogsoth-ai | DecimalAI

researchby yogsoth-ai

Adversarial Stress Testing

yogsoth-ai/adversarial-stress-testing

Source yogsoth-ai/de-anthropocentric-research-engine ↗License Apache-2.0

Campaign: Logical extreme and boundary testing via reductio ad absurdum and edge-case analysis. Core question: Does this artifact collapse under logical limits and boundary conditions? Methods: Lakatos 1976, Dutilh Novaes 2016, BVA, Flyvbjerg Critical Case, Popper.

SkillScore91Maintained

Automatic

Research pack

Last verified 8/22/2026

What it changes

Passed 18 of 20 test cases with the skill, and 10 of 20 without it.

Without skill50%

With skill91%

Checks it passed that the model alone missed

Calls context-init SOP at the start of a research Phase.
Allocates exactly 3 parameter dimensions for small (S) budget.
Selects lakatos-heuristics as the primary strategy for gap artifacts.

and 9 more in the full report

11 fixed9 passed either way0 still failing2 broke

Pass-rate lift: +41 pp
Tokens: +7%
Agent turns: 0%
Response time: -52%

Model gemini-3.6-flashMeasured 8/22/2026v220 of 22 cases passed with skill · 20 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/yogsoth-ai-adversarial-stress-testing/SKILL.md https://app.decimal.ai/s/yogsoth-ai-adversarial-stress-testing/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add yogsoth-ai-adversarial-stress-testing, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/yogsoth-ai-adversarial-stress-testing/ and pins it in .decimal/skills.lock

decimalai skills add yogsoth-ai-adversarial-stress-testing

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/yogsoth-ai-adversarial-stress-testing/SKILL.md https://app.decimal.ai/s/yogsoth-ai-adversarial-stress-testing/SKILL.md

Raw file: /s/yogsoth-ai-adversarial-stress-testing/SKILL.md ↗ · machine-readable summary at /s/yogsoth-ai-adversarial-stress-testing.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 9

Prompt

Our team is executing a medium-budget (M tier) boundary testing campaign on a data replication protocol. How many counterexamples or boundary cases are prescribed for an M resource budget?

What was checked, without and with the skill
Checked	Without skill	With skill
Allocates exactly 12 counterexamples or boundary cases for medium (M) budget.	Missed	Passed

case-07 · gemini-3.6-flash · 8/22/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md85 linessingle file

Adversarial Stress Testing

Core Question: Does this artifact collapse under logical limits and boundary conditions?

Methodology Sources

Lakatos (1976) — Proofs and Refutations: counterexample-driven refinement
Dutilh Novaes (2016) — Adversarial argumentation as dialogical practice
Clarke BVA — Boundary Value Analysis for systematic edge testing
Flyvbjerg (2006) — Critical case methodology: most-likely/least-likely selection
Popper (1959) — Falsificationism: seek conditions where claims break

Strategy Routing

Artifact Type	Primary Strategy	Rationale
claim, hypothesis	assumption-negation	Direct logical attack
gap, research-question	lakatos-heuristics	Counterexample refinement
idea, approach	boundary-enumeration	Parameter space testing
experiment-design	critical-case-design	Decisive test selection
any (synthesis)	validity-envelope-mapping	Comprehensive envelope

Budget Table

Resource	S	M	L
Negation derivation chains	3	6	10
Counterexamples/boundary cases	5	12	25
Parameter dimensions	3	6	10
Validity envelope dimensions	2	4	6

Tactics

contradiction-derivation — Negate, derive, detect contradiction
boundary-probing — Map parameter space, test extremes, find breakpoints
counterexample-heuristics — Generate monsters, bar or incorporate

Context Management

Persist derivation chains and counterexamples across rounds

Track record

Benchmark

18 / 20

test cases passed, vs 10 / 20 without

Adoption

Users: 1
Times used: 12

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/10/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

yogsoth-ai / de-anthropocentric-research-engine

skills/adversarial-stress-testing/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/10/2026Version v2

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

More skills from the same source and nearby in the registry, with their headline benchmark lift.

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See it in action

What's inside

Adversarial Stress Testing

Methodology Sources

Strategy Routing

Budget Table

Tactics

Context Management

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

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