Installs into .claude/skills of the current project.
Are you the author of Specify Execution Environment?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/yogsoth-ai-specify-execution-environment)
---
name: specify-execution-environment
description: "Specify environment variables that materially affect interpretation or reproducibility: hardware, software, data, configuration, and versioning."
---
# specify-execution-environment
## Purpose
Specify environment variables that materially affect interpretation or reproducibility: hardware, software, data, configuration, and versioning.
## Input contract
```yaml
required: [hardware_context, software_context, data_context, configuration_context]
optional: [evidence, assumptions, prior_results]
constraints: [use named scientific objects; retain provenance and missingness; $\alpha$ = 0.05 and power = 0.8 where applicable]
```
## Procedure
1. Validate the typed inputs and state the decision this operation must support.
2. Apply the declared operation to the named object; record intermediate values that affect interpretation.
3. Check boundary conditions and counterexamples, then emit the result with uncertainty and source links.
## Output contract
```yaml
produces: [specify_execution_environment_result, evidence_trace, uncertainties]
delta_fields: [evidence_updates, uncertainties]
```
## Quality gates
- Inputs are named scientific objects with compatible schemas.
- Every material result has a derivation or source reference.
- Fixed statistical criteria remain exact where applicable: $\alpha$ 0.05 and power 0.8.
## Failure and counterexamples
Return a failed operation with the violated precondition when inputs are incomplete, assumptions are unsupported, or a counterexample defeats the result.
## Provenance map
- intermediate: experiment-execution/environment-specification