Boundary Probing
SkillSearchMap parameter space, generate extreme values, test at boundaries, detect
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Boundary Probing skill
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/boundary-probing/SKILL.md and read by ahel’s review.
Orchestration Steps
- Receive claim and parameter context from strategy
- Dispatch
parameter-space-mappingto identify all dimensions - For each dimension, dispatch
extreme-value-generation:- Minimum, maximum, zero, negative, overflow
- Type boundaries (empty, null, singleton, infinite)
- Dispatch
breakpoint-detectionat each extreme value - Record pass/fail for each probe point
- Dispatch
validity-envelope-constructionto synthesize boundaries
Subagents
- parameter-space-mapping
- extreme-value-generation
- breakpoint-detection
- validity-envelope-construction
Termination Conditions
- All dimensions probed at all boundary values (complete)
- Breakpoint found in critical dimension (early report)
- Budget exhausted (report partial envelope)
- Dimension count exceeds budget (prioritize by sensitivity)
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| breakpoint-detection | Test a claim at extreme parameter values and detect the precise point where it breaks down. |
| extreme-value-generation | Generate boundary and extreme test values for a given parameter dimension to stress-test claims. |
| parameter-space-mapping | Identify all parameter dimensions along which a claim's validity might vary. |
| stress-test-validity-envelope-construction | Synthesize breakpoints across dimensions into a coherent validity envelope for a claim. |
Signals
- GitHub stars
- 469
- Forks
- 37
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
boundary-probing- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine